Pharmaceutical Scientist Jobs Near Me

We are seeking a Machine Learning Scientist with expertise in designing state-space models, developing novel machine learning architectures, and contributing to groundbreaking research. The ideal candidate will have a strong foundation in classical machine learning, deep learning, and extensive coding experience. A background in writing government grant proposals and proficiency in CI/CD pipelines is a plus. The target domain are custom, extreme-edge AI processors. Extreme-Edge are system that are high performance but run on 250 mw of power or less. *This is a hybrid role 3x a week in Laguna Hills, CA office. Key Responsibilities: - Design and develop state-space models and novel machine learning architectures. - Conduct research to advance the state of the art in machine learning and publish findings in leading journals or conferences. - Build, train, and deploy machine learning models for real-world applications. - Collaborate with cross-functional teams to integrate ML solutions into production systems. - Perform data preprocessing, and hyperparameter tuning for optimal model performance. - Develop and maintain CI/CD pipelines for machine learning workflows. - Stay updated with the latest trends in AI/ML and apply innovative techniques to solve complex problems. - Generate Patents, publish in high impact journals and conferences. Required Qualifications: - Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field. - Proven experience with state-space models and deep learning frameworks (e.g., TensorFlow, PyTorch). - Strong coding skills in Python and C/C++ (bonus). - Solid understanding of classical machine learning techniques, algorithms, and statistical methods. - Demonstrated record of publications in reputable journals or conferences. - Active GitHub repository showcasing relevant projects or contributions. - Highly creative and curious. Preferred Skills: - Experience writing and winning government grants and contracts. - Familiarity with CI/CD tools, GitLab CI/CD, or similar platforms. - Strong problem-solving skills with attention to detail. - Excellent communication skills for presenting technical concepts to non-experts. Benefits: - Competitive salary and performance-based bonuses. - Opportunities for career advancement and professional development. - Flexible work environment with options for remote work up to 2 days a week. - Access to cutting-edge tools and resources for research.

Genesis Research is an international healthcare consultancy providing value evidence strategy, generation, synthesis, and communication services to Life Sciences companies. Delivering these services empowered by technology innovations has enabled us to become a trusted partner with our clients across the development and commercialization life cycle. Combining both traditional and novel analytical approaches with diverse real-world data, including genomic, medical record, claims and patient-reported information, has allowed us to inform Life Science company internal decision making as well as submissions and presentations to regulators; health technology assessment authorities and payers; the medical community; and, patient organizations. We are looking for an experienced Principal Scientist to join our Analytics team. Accountabilities within this role: • Develop efficient and error-free code using SAS/R and SQL that accurately applies the methodologies defined to complete the analysis. • Produce and present client-ready tables and charts with strong aesthetics ready to present both internally and to clients by utilizing Excel & PowerPoint. • Contribute to the development and growth of protocols and statistical analysis plans by providing analytical, database, therapeutic, epidemiological, and statistical expertise and experience. • Design, implement and interpret basic & advanced statistical methods. • Working knowledge of multiple databases that are commonly utilized. • Conceptualize the scope of projects and time required from project initiation through completion of client deliverables. • Handle multiple concurrent projects/tasks and meet all internal and external deadlines by effectively managing one's own time. • Provide proactive, responsive, high quality execution of client deliverables. • Lead proposal development with oversight from client director, lead client meetings, assist with development of scientific communications (abstracts/posters). Qualifications: • Bachelor's degree in a technical or quantitative field from an accredited college or university (e.g., statistics/ biostatistics, epidemiology, bioinformatics, health economics, mathematics, outcomes research, public health, biology, medicine); Masters, MPH or PhD degree preferred. • 4+ years relevant work experience (less with PhD). • Demonstrated knowledge of R/SAS and statistical methods over a 6+ year period. • Experience developing and implementing statistical analysis plans utilizing RWD or clinical trials. • Demonstrated thorough aptitude for conducting quantitative and qualitative analyses. • Willingness to provide superior customer service through first-rate work product. • Ability to work independently and collaboratively. • Strong communication skills with the ability to explain technical data analysis results to business people, as well as communicate quantitative challenges and issues to technical people. Knowledge Preferred: • Significant experience working with analytical models and visualization techniques and tools. • Advanced analytics techniques (regression, simulation, etc.). • Identifying and addressing client needs, building relationships with clients, developing requests for proposals. • Creative and innovative problem solving skills. • Ability to work under tight deadlines in a highly dynamic environment. Compensation: Competitive salary Performance-related bonus Hybrid/Remote work environment Private insurance Flexible PTO plan and many company holidays including the last week of the year Genesis Research is an equal opportunity employer.

Genesis Research is an international healthcare consultancy providing value evidence strategy, generation, synthesis, and communication services to Life Sciences companies. Delivering these services empowered by technology innovations has enabled us to become a trusted partner with our clients across the development and commercialization life cycle. Combining both traditional and novel analytical approaches with diverse real-world data, including genomic, medical record, claims and patient-reported information, has allowed us to inform Life Science company internal decision making as well as submissions and presentations to regulators; health technology assessment authorities and payers; the medical community; and, patient organizations. We are looking for an experienced Principal Scientist to join our Analytics team. Accountabilities within this role: Develop efficient and error-free code using SAS/R and SQL that accurately applies the methodologies defined to complete the analysis. Produce and present client-ready tables and charts with strong aesthetics ready to present both internally and to clients by utilizing Excel & PowerPoint. Contribute to the development and growth of protocols and statistical analysis plans by providing analytical, database, therapeutic, epidemiological, and statistical expertise and experience. Design, implement and interpret basic & advanced statistical methods. Working knowledge of multiple databases that are commonly utilized. Conceptualize the scope of projects and time required from project initiation through completion of client deliverables. Handle multiple concurrent projects/tasks and meet all internal and external deadlines by effectively managing one's own time. Provide proactive, responsive, high quality execution of client deliverables. Lead proposal development with oversight from client director, lead client meetings, assist with development of scientific communications (abstracts/posters). Qualifications: Bachelor's degree in a technical or quantitative field from an accredited college or university (e.g., statistics/ biostatistics, epidemiology, bioinformatics, health economics, mathematics, outcomes research, public health, biology, medicine); Masters, MPH or PhD degree preferred. 4+ years relevant work experience (less with PhD). Demonstrated knowledge of R/SAS and statistical methods over a 6+ year period. Experience developing and implementing statistical analysis plans utilizing RWD or clinical trials. Demonstrated thorough aptitude for conducting quantitative and qualitative analyses. Willingness to provide superior customer service through first-rate work product. Ability to work independently and collaboratively. Strong communication skills with the ability to explain technical data analysis results to business people, as well as communicate quantitative challenges and issues to technical people. Knowledge Preferred: Significant experience working with analytical models and visualization techniques and tools. Advanced analytics techniques (regression, simulation, etc.). Identifying and addressing client needs, building relationships with clients, developing requests for proposals. Creative and innovative problem solving skills. Ability to work under tight deadlines in a highly dynamic environment. Compensation: Competitive salary Performance-related bonus Hybrid/Remote work environment Private insurance Flexible PTO plan and many company holidays including the last week of the year Genesis Research is an equal opportunity employer. #J-18808-Ljbffr

Leonardo.Ai seeks a Senior Research Scientist to join our expanding global AI team. We're advancing our generative AI platform to empower millions, regardless of expertise, with intuitive tools for creating high-quality images and videos. Now part of Canva, we're ready to build a world-class R&D team to seamlessly integrate AI products, tools, and features, making creativity limitless for nearly a quarter of a billion users. The Role: As a Senior Researcher, you will play a pivotal role in building and training new foundational models as we advance further into image, video, 3D, and language modelling. We are working at the cutting edge of what's possible and pushing every day to go beyond it. Responsibilities: Lead Multimodal Research: Spearhead research in multimodal AI, including image, video, 3D, and language modelling. Drive cross-modal innovation to address complex challenges across media types. Foundational Model Development: Architect, train, and evaluate foundational models. Research and Application: Work in exploratory phases to gain new insights and apply them to improving model outcomes. Skills we love you to have: Multimodal AI Expertise: Experience in text-to-image, video comprehension and synthesis, 3D generation, with knowledge of training LLMs for multimodal applications. Foundational Model Building and GPU Proficiency: Skill in building foundational models from scratch, leveraging GPU technology for performance and scaling. Advanced Model Architectures: Background in GANs, transformers, and diffusion models, especially for multimodal applications, keeping up with industry advancements. Academic and Open-Source Contributions: Record of peer-reviewed publications and contributions to open-source projects. Technical Proficiency: Expertise in Python, frameworks such as PyTorch or Jax, and cloud computing. Collaborative Attitude: Strong team player experienced in cross-functional collaboration. Competitive Edge: Stay ahead of industry trends with AI-based literature, competitors, and emerging technologies. Help maintain our competitive edge in the market by providing insights and recommendations. Educational Background: PhD or Master's in AI or similar field with proven research experience. Our Culture: Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered. Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility to work remotely or from our vibrant offices. Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals. Impactful Work: Join us in shaping the future of AI. You'll work on innovative projects that have a meaningful impact. Next Steps: If you're passionate about AI research and have a history of implementing AI models, this role might be the perfect fit for you. We encourage you to apply and start the conversation whether you're based locally in the USA or overseas. Why Leonardo.Ai? Shape the Future of AI: Join us in revolutionising content creation and build a platform at the forefront of generative AI. Hybrid and Remote Options: Flexibility is key. Choose a work arrangement that suits your lifestyle. Benefits: We offer a generous package including paid parental leave and a wellness budget. Diversity and Inclusion: We intentionally seek people from a variety of backgrounds to join our team. Typical Interview Process While we love technology, our interview process is all human. A Talent team member will review your application, and we'll contact you either way. Here's what you can expect: Round 1 - Meet Your Recruiter: Our Talent team will arrange a 30-minute video call to discuss your experience and the role. Round 2 - Craft Interview: You'll meet team members to discuss the technical task and your expertise. Round 3 - Technical Task: You may be given a short take-home task to assess your skills. Round 4 - Values Interview: You'll meet with the Department Head for a conversation about your potential impact. Important Information If there are any adjustments we can make to make you more comfortable at any point in the interview process, please let us know. #J-18808-Ljbffr

The Organization What's happening at Entrada Therapeutics? Entrada is a clinical-stage biopharmaceutical company aiming to transform the lives of patients by establishing a new class of medicines that engage intracellular targets that have long been considered inaccessible. Our Endosomal Escape Vehicle (EEV)-therapeutics are designed to enable the efficient intracellular delivery of a wide range of therapeutics into a variety of organs and tissues, resulting in an improved therapeutic index. Through this proprietary, versatile and modular approach, Entrada is advancing a robust development portfolio of RNA-, antibody- and enzyme-based programs for the potential treatment of neuromuscular, ocular, metabolic and immunological diseases, among others. Our lead oligonucleotide programs are in development for the potential treatment of people living with Duchenne who are exon 44, 45 and 50 skipping amenable. We have also partnered to develop a clinical-stage program, VX-670, for myotonic dystrophy type 1. We are a tight-knit team of experts and leaders in both therapeutic development and rare diseases and are excited to grow and attract colleagues who are ready to join a high-energy, dedicated team that likes to get things done and dramatically improve the lives of patients and their families. The Perfect Addition to Our Team You are a highly motivated, collaborative, and innovative Drug Metabolism and Pharmacokinetics expert with experience driving preclinical DMPK activities. We have a diverse pipeline and as such you should have experience across both small and large molecules and have hands on experience leading the design, analysis, and interpretation of preclinical in vitro and in vivo studies. You are an exceptional communicator and a natural collaborator who is excited about the opportunity to contribute to this function and work closely with cross functional leaders. The Opportunity The ideal candidate will serve as a subject matter expert working within the DMPK team to drive the DMPK strategy across all designated programs and pipelines. They will have the opportunity to design, manage, and execute DMPK deliverables, and will be responsible for analyzing, interpreting, and authoring/reviewing ADME and PK/PD reports. Responsibilities Lead all PK- and ADME-related efforts for designated program(s). Communicate and present relevant information across all areas of the organization, regardless of level. Select and manage PK/TK, PK/PD, and ADME CROs. Author and review PK/TK, PK/PD, and ADME reports. Author and review relevant PK/TK, PK/PD, and ADME sections of regulatory submission documents (e.g. investigational new drug (IND), investigator brochure (IB), clinical trial application (CTA), etc). Review associated reports, including clinical, toxicology, pharmacology, and bioanalysis. Collaborate with clinical teams, including pharmacology, biomarkers, development, and operations. Collaborate with non-clinical development teams, including toxicology and bioanalysis. Collaborate with discovery teams to guide future programs and better understand mechanisms of action. This is a US based remote position, with preference given to local New England based candidates. This role will require minimum monthly or quarterly travel to the Entrada Therapeutics Headquarters located in Boston, MA. The Necessities At Entrada, our passion for science, our devotion to patients and our values drives our behavior: Humanity - We genuinely care about patients and about one another. Tenacity - We are relentless and persistent in the pursuit of developing therapies for patients. Creativity - We are creative problem solvers. Collaboration - We are more than the sum of our parts. Curiosity - We have a growth mindset and push conventional thought and theory. To thrive on our team, you will need to come with: PhD in pharmacology or similar field with 8+ years of DMPK experience in an industry setting or a MS with 12+ years of relevant experience. Expertise with ADME studies and assays, with a proven track record of strategizing and troubleshooting based upon raw data. Vendor Management experience, specifically managing CROs. Additional experience with other aspects of ADME, bioanalytical techniques, PK/PD, toxicokinetics, pre-clinical PK/PD modeling, and translational biology are strongly preferred. Experience with oligonucleotide-based modalities. Experience authoring and reviewing DMPK-related reports and regulatory documents for health authority submissions is highly desirable. You should be naturally collaborative and a strong communicator, and let's not forget the ability to multi-task effectively and work within aggressive timelines- these are key to being successful in Entrada's fast paced environment. The Perks By becoming a team member here at Entrada, you'll have access to competitive health, dental, and vision coverage, as well as life insurance, and short term and long-term disability insurance. We value work life balance, you'll benefit from discretionary time off, paternity leave, and an excellent 401(k) package. We also offer a generous transportation stipend to commute as you wish. Our location in the vibrant and growing Seaport District is close to all the best that the city of Boston has to offer. Entrada Therapeutics is an equal opportunity employer. Qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. #J-18808-Ljbffr

Exciting REMOTE leadership opportunity in Botanical and Wetland surveying for one of the top Environmental groups on the west coast. Our client needs a technical expert ready for the next step in their career, a knowledgable Environmental Scientist ready for a promotion or a vetted Environmental leader ready to be part of a winning team. The Ideal candidate would have: 5 years of Environmental experience Pacific Northwest Experience (Washington, Oregon, British Columbia) Wetland Delineation and Plant Identification Experience Proven leader with no need for supervision from higher ups This position offers a fully remote schedule or a choice to be hybrid to one of their locations, a comprehensive benefits package, and a 20% bonus paid out yearly! ersg are an equal opportunities employer; we are committed to promoting equality of opportunity for all job applicants. We do not discriminate against applicants on the basis of age, sex, race, disability, pregnancy, marital status, sexual orientation, gender reassignment or religious background; all decisions are based on merit.

Genesis Research is an international healthcare consultancy providing value evidence strategy, generation, synthesis, and communication services to Life Sciences companies. Delivering these services empowered by technology innovations has enabled us to become a trusted partner with our clients across the development and commercialization life cycle. Combining both traditional and novel analytical approaches with diverse real-world data, including genomic, medical record, claims and patient-reported information, has allowed us to inform Life Science company internal decision making as well as submissions and presentations to regulators; health technology assessment authorities and payers; the medical community; and, patient organizations. We are looking for an experienced Principal Scientist to join our Analytics team. Accountabilities within this role: Develop efficient and error-free code using SAS/R and SQL that accurately applies the methodologies defined to complete the analysis. Produce and present client-ready tables and charts with strong aesthetics ready to present both internally and to clients by utilizing Excel & PowerPoint. Contribute to the development and growth of protocols and statistical analysis plans by providing analytical, database, therapeutic, epidemiological, and statistical expertise and experience. Design, implement and interpret basic & advanced statistical methods. Working knowledge of multiple databases that are commonly utilized. Conceptualize the scope of projects and time required from project initiation through completion of client deliverables. Handle multiple concurrent projects/tasks and meet all internal and external deadlines by effectively managing one's own time. Provide proactive, responsive, high quality execution of client deliverables. Lead proposal development with oversight from client director, lead client meetings, assist with development of scientific communications (abstracts/posters). Qualifications: Bachelor's degree in a technical or quantitative field from an accredited college or university (e.g., statistics/ biostatistics, epidemiology, bioinformatics, health economics, mathematics, outcomes research, public health, biology, medicine); Masters, MPH or PhD degree preferred. 4+ years relevant work experience (less with PhD). Demonstrated knowledge of R/SAS and statistical methods over a 6+ year period. Experience developing and implementing statistical analysis plans utilizing RWD or clinical trials. Demonstrated thorough aptitude for conducting quantitative and qualitative analyses. Willingness to provide superior customer service through first-rate work product. Ability to work independently and collaboratively. Strong communication skills with the ability to explain technical data analysis results to business people, as well as communicate quantitative challenges and issues to technical people. Knowledge Preferred: Significant experience working with analytical models and visualization techniques and tools. Advanced analytics techniques (regression, simulation, etc.). Identifying and addressing client needs, building relationships with clients, developing requests for proposals. Creative and innovative problem solving skills. Ability to work under tight deadlines in a highly dynamic environment. Compensation: Competitive salary Performance-related bonus Hybrid/Remote work environment Private insurance Flexible PTO plan and many company holidays including the last week of the year Genesis Research is an equal opportunity employer. #J-18808-Ljbffr

Who is Recruiting from Scratch: Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. https://www.recruitingfromscratch.com/ About Us: Our product is doing for LLMs what Google did for websites. In the early internet, the number of websites was exploding and it was hard to figure out what website you should use for what task. Google fixed that problem by building a search engine that aggregated websites across the internet. A similar problem exists in AI today; the number of models is exploding and it's hard to figure out what model you should use for what task. Our product fixes that problem through a model router: You give us your prompt, we run it on the best model in real time. We can do this because we've learned how to predict the performance of a model without running it. That lets us find a model which can complete your request with the highest performance and lowest cost. The value proposition is simple: stop worrying about AI, start focusing on product. That idea -- making it so that people can stop worrying about AI -- is the core of what we do. Model-routing is just the first tool we're building to help understand the way in which models behave. By pioneering techniques like this, we want to solve the most fundamental problem in AI: understanding why models behave the way they do, and creating guarantees they'll behave the way we want. About the role: As a research scientist with Martian, you will develop new techniques to understand how AI models work. This work will focus on exploring and improving a technique we call “model mapping”: converting transformers into more interpretable representations (such as programs). We are looking for people who can develop and scale up methods for making transformers more interpretable through model mapping and then understanding the transformers in the new domain we map to. Responsibilities may include: Designing experiments to measure the effectiveness of model mapping techniques Studying models and how they can be turned into programs Managing and exploring large datasets from interpretability experiments Investigating the internal operations of large language models Designing novel approaches for understanding how large language models work AI Research Content Development Produce in-depth technical content on model interpretability and LLM routing Write research papers for top AI conferences and journals Create detailed blog posts explaining complex AI concepts Technical Community Engagement Participate in technical discussions with AI researchers on social media Represent Martian's technical perspective in AI forums and conferences Develop and maintain relationships with key technical influencers in AI You'll thrive in this role if you: Are excited about Martian's mission to understand AI and build better AI tooling Want to discover the algorithms underlying intelligence and are motivated to spend your career exploring how models work Enjoy a fast-paced startup environment Have experience implementing ML algorithms (e.g. pytorch) and distributed training (e.g. pytorch lightning, deepspeed) Enjoy writing clean code and thinking about programming languages Have an interest in Mechanistic Interpretability What We Offer: Competitive salary ($250k+) and equity packages Health, dental, and vision insurance plans Unlimited PTO Daily lunch Team dinners https://www.recruitingfromscratch.com/ #J-18808-Ljbffr

Postdoctoral Research Fellow in Oral Immunology EMPLOYER: Laboratory of Dr. Juhi Bagaitkar, Center for Microbial Pathogenesis at Nationwide Children's Hospital (NCH) and The Ohio State University. SALARY: Based on NIH Post-doctoral stipend guidelines, benefits include family health insurance, matched retirement account POSITION TYPE: Full-time DISCIPLINE: Immunology, host-pathogen interactions, oral mucosal immunology ORGANIZATION TYPE: Non-profit RESEARCH DESCRIPTION: The Bagaitkar lab in an NIH funded lab whose research interests broadly focus on understanding host specific and microbe specific factors that module immune homeostasis at the oral mucosal barrier. Projects in the are broadly focused on exploring how genetic deficiencies in neutrophil immune effector functions impact oral inflammation; oral epithelial cells and anti-viral responses; and the manipulation of neutrophil and macrophage inflammatory responses by specific periodontal pathogens. Dysregulation in oral immune homeostasis is associated with several chronic inflammatory and autoimmune disorders in humans. QUALIFICATIONS: Applicants must have an MD, Ph.D., or MD/PhD Strong background in immunology and experience in advanced cellular and molecular immunology techniques, including multicolor flow cytometry and other relevant techniques. Prior knowledge and practical experience in murine models of inflammation and infection and conditional knockout mice. Candidates should be capable of designing and carrying out high-level, complex research experiments independently. Applicants with a good track record of publication are desirable, along with effective communication skills and scientific writing skills.

We are looking for a biotech research scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of biotechnology- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Molecular Biology, Genetics, Biochemistry, Microbiology, Bioinformatics, Public Health, Epidemiology, Pharmacology, Agricultural Science, Environmental Science, Chemical Engineering. Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which projects you want to work on * You can work on your own schedule * Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology, inductive/deductive reasoning, physical/temporal/ spatial reasoning, and research methods * A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. #INDUSBIO Job Types: Full-time, Part-time Pay: From $40.00 per hour Expected hours: 1 - 40 per week Location: * Scottsdale, AZ (Required) Work Location: Remote

We are seeking a highly skilled and dedicated Carbon Forest Scientist with a Ph.D. in Forestry, Environmental Science, or a related field, and significant experience in the carbon markets. The ideal candidate will have a strong background in conducting rigorous scientific research and a proven track record of working with NGOs or similar organizations to influence environmental policy and practices.What You'll Be Doing Conduct high-level research on forest carbon dynamics, including carbon sequestration, emission reduction, and overall forest health. Develop and oversee projects aimed at enhancing carbon storage in forests, considering biodiversity conservation and sustainable community development. Analyze data using advanced statistical and GIS tools to monitor forest carbon stocks and changes over time. Collaborate with policy makers, community leaders, and international bodies to advocate for effective forest conservation strategies based on research findings. Write grant proposals, scientific papers, and reports to secure funding and share research outcomes with the scientific community and the public. Lead field teams in data collection, ensuring adherence to safety and ethical standards. Engage with stakeholders in the carbon markets to apply practical insights from research to market-based solutions. What You'll Need Degree in Forestry, Environmental Science, Ecology, or related field. Minimum of 5 years of relevant experience in carbon markets, forest conservation, and climate change mitigation. Proficiency in statistical analysis, GIS, and remote sensing tools. Demonstrated ability to publish peer-reviewed research and secure research funding. Strong leadership skills and experience managing diverse teams. Excellent communication and interpersonal skills, with the ability to engage effectively with a wide range of stakeholders. $100,000 - $150,000 a year Candidates for this role must be located in the United States.

At SES AI, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $150,000 and $250,000. SES AI considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and skills. What We Offer * Company paid Health and Dental insurance (ability to add dependents) * Global travel insurance for employees traveling while on business * Company sponsored retirement plan with 100% vesting and up to 5% match. * Life and AD&D Insurance * Employee Assistance Program * Six Paid Holidays, and one floating holiday per a quarter equivalent to 4 per calendar year * 10 accrued vacation days per calendar year that increases with tenure. * Bonus + Equity, based on position and eligibility requirements Note: SES AI benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. About SES AI: SES AI Corp. (NYSE: SES) is powering the future of global electric transportation on land and in the air with the world's most advanced Li-Metal batteries. SES AI is the first battery company in the world to accelerate its pace of innovation by utilizing superintelligent AI across the spectrum of its business, from research and development; materials sourcing; cell design; engineering and manufacturing; to battery health and safety monitoring. Founded in 2012, SES AI is an Li-Metal battery developer and manufacturer headquartered in Boston and with operations in Singapore, Shanghai, and Seoul. Learn more at SES.AI Position Scope We are a leading company specializing in the development of advanced lithium-metal batteries, on the brink of leveraging Large Language Models (LLMs) and extensive datasets to discover new battery materials. Our mission is to push the boundaries of what's possible in battery technology through innovative AI applications. To this end, the SES AI Prometheus team (AI Research) is seeking a highly skilled Machine Learning Scientist with a focus on AI explainability. This role will delve into the intricacies of large language model behavior, akin to studying the "brain" of LLMs or multimodal LLMs, utilizing causal graphs/representation, mechanistic interpretation and representation engineering tools etc. The objective is to extract the reasoning and planning capabilities of the LLMs and guide the machine towards creating innovative battery formulas. You will be required to collaborate with strong academic labs, engaging in machine learning research aimed at addressing our battery design challenges and enhancing our systems' ability to understand and interpret data-driven science efficiently. Your contributions will be instrumental in enhancing our ability to analyze experimental data and intuitively achieve groundbreaking advancements in battery technology. This is a remote position. Responsibilities * Conduct groundbreaking research on the explainability of large language models and their reasoning processes, drawing parallels with neuroscience to understand the "thought processes" of AI systems. * Investigate the mechanisms through which LLMs approach problem-solving, planning, and solution generation, particularly in the context of basic battery design questions. * Apply advanced techniques such as causal graphs and neuroscience-inspired AI methodologies to dissect and enhance the reasoning capabilities of LLMs, with the aim of improving accuracy and reducing instances of hallucination. * Collaborate closely with a multidisciplinary team to integrate findings into practical AI solutions that contribute to the discovery of new battery materials and the advancement of lithium-metal battery technology. * Contribute to academic and industry discussions by publishing research findings in top-tier journals and presenting at conferences. Qualifications * MS or PhD in Computer Science, Statistics, Computational Neuroscience, Cognitive Science or a related field, or equivalent practical experience. * Strong foundational knowledge and practical experience in Machine Learning, Deep Learning, and Large Language Models. * Proficiency in utilizing causal graphs for AI research and application. * Demonstrated experience in AI explainability, with a focus on mechanistic interpretation and representation engineering. * A solid track record of innovative research, preferably with published work in relevant areas. * Proficient in programming languages relevant to machine learning, with a strong preference for Python. * Experience with deep learning frameworks such as PyTorch or Tensorflow etc. * Excellent problem-solving abilities and a passion for tackling complex technical challenges. * The ability to communicate complex concepts clearly and effectively to both technical and non-technical team members. Preferred Qualifications * Experience with AI applications in material science or battery technology. * Familiarity with the latest trends and methodologies in AI research, including neuroscience-inspired models and causal reasoning.

JOB TITLE: AI Scientist REPORTS TO: Lead Applied AI Scientist DEPARTMENT: Finetune Development Prometric is transforming the assessment industry through innovative AI solutions, including its acquisition of Finetune. Finetune's R&D and product team combined innovative thinking in teaching and learning with expertise in leading-edge technology for more than ten years and has been a pioneer in the Large Language Model application in education space. Our work includes Generate and Catalog-products that use a unique, patent-pending AI approach to help author and tag content at scale. Finetune is also created AP Classroom-a platform we built in partnership with The College Board that serves over 3 million students and 175,000 teachers daily. We've assembled a global team representing more than a dozen countries, working together in a fully remote, intellectually vibrant culture that values collaboration, communication, and the diversity of perspective our members bring to the company. Salary for this role is starting at $150,000. COMPANY BACKGROUND Prometric (****************** is a trusted test development and delivery provider to more than 300 organizations worldwide. Prometric serves as an industry gatekeeper, ensuring that people legitimately earn the credentials they seek to achieve, and thereby guaranteeing a fair testing experience for all who come through our doors. RESPONSIBILITIES * This is not a standard data science role with clean datasets and predetermined train-test splits. You will develop custom AI solutions in a dynamic environment where requirements evolve and data is often unstructured. Your responsibilities will include: * Designing and implementing AI systems for intelligent content generation and classification in educational assessment * Building customized AI solutions to meet specific customer requirements * Conducting rapid technical investigations and lightweight research * Creating production-ready AI pipelines that integrate with our product ecosystem * Developing internal tools to automate and enhance team efficiency QUALIFICATION REQUIREMENTS * Bachelor's degree with 5+ years of relevant experience or Master's degree with 2+ years of real-world work experience * Strong Python programming skills * Comfort with collaborative development practices, specifically Git and code review * Practical experience implementing solutions using LLM APIs * Demonstrated ability to work effectively with ill-defined requirements and independently lead projects * EXPERIENCE AND SKILLS * Strong customer empathy with ability to "channel the customer" in solution design * Product mindset-you go beyond data analysis, doing work that directly shaped user-facing features * Experience communicating directly with customers PHYSICAL JOB REQUIREMENTS * N/A

Headquartered in Carlsbad, California, and with offices in Boston, Massachusetts, and Dublin, Ireland, Ionis has been at work for more than three decades discovering medical breakthroughs that have redefined life for people with serious diseases. We are pioneers in RNA-targeted medicines, and our platform continues to revolutionize drug discovery and transform lives for patients with unmet needs. With five currently marketed medicines for serious diseases and an expansive late-stage pipeline, we continue to build upon our groundbreaking innovations in science and technology to provide greater value to patients; and we are well positioned financially to deliver on our strategic goals. At Ionis, we pride ourselves on cultivating a challenging, motivating and rewarding environment that fosters innovation and scientific excellence. We know our success is a direct result of the exceptional talent and dedication of our employees. With an unprecedented opportunity to change the course of human health, we look to add diverse individuals, skill sets and perspectives to our exceptional team. We continue to invest time, money, and energy into making our onsite and remote work environments a place where solid and lasting relationships are built and where our culture and employees can thrive. We are building on our rich history, and believe our greatest achievements are ahead of us. We invite you to apply and join us if you're passionate about the opportunity to have meaningful impact on patients in need, our employees, and our organization. Experience and contribute to our unique culture while you develop and expand your career! SENIOR SCIENTIST, FORMULATION AND DELIVERY SCIENCES SUMMARY: Are you ready to push the boundaries of lipid nanoparticle (LNP) technology and unlock the full potential of gene editing? We're seeking an exceptional scientist to pioneer novel LNP formulations that enable precise, tissue-targeted delivery. Join us in shaping the future of genetic medicine at a leading nucleic acid therapeutics company. This onsite, lab-based role at our Carlsbad, CA headquarters will focus on engineering cutting-edge LNPs and nanoparticle systems for intracellular RNA delivery. You'll design, optimize, and characterize advanced delivery platforms, leveraging the latest innovations in lipid chemistry, LNP formulations, and ligand-based approaches. Your work will directly drive the next generation of genetic medicines from concept to clinic. RESPONSIBILITIES: Design and develop state-of-the-art lipid nanoparticles and formulation processes to enable targeted gene editing therapies. Engineer and optimize novel lipids for superior in vivo delivery across challenging biological barriers to tissues beyond the liver. Utilize advanced formulation techniques such as microfluidic mixing, UF/DF, filtration, and high-throughput screening. Characterize nanoparticles via DLS, zeta potential, TNS pKa, fluorescence, and perform HPLC-based lipid and RNA analysis. Conduct in vivo PK/PD and biodistribution studies in preclinical models, including rodent IV administration, in-vivo imaging, and tissue harvesting. Collaborate cross-functionally with molecular biology, bioinformatics, and translational teams to accelerate pipeline programs. Stay informed of emerging technologies in LNPs, RNA therapeutics, and gene editing delivery to bring novel ideas and disruptive innovation to the team. Document and present findings internally and externally through lab records, publications, patents, and conference presentations. REQUIREMENTS: PhD in chemical engineering, biochemistry, life sciences or a related field plus 2+ years of hands-on post-doctoral or industry experience. Deep understanding of lipid and nanoparticle formulation design principles for nucleic acid delivery, as demonstrated by publications, presentations, and industry accomplishments. 3+ years of analytical experience with nanoparticle characterization and RNA/lipid quantification. 3+ years hands-on experience with in vivo (rodent dosing, biodistribution) and in vitro (cell-based transfection, potency assays) evaluation. 3+ years hands-on experience building and running high-throughput nanoparticle formulation screening workflows. A problem solver with a passion for innovation, capable of leveraging cutting-edge research and engaging external experts to solve complex delivery challenges. Entrepreneurial mindset-excited to work in a fast-paced, high-impact environment where science meets real-world application. This is an opportunity to drive breakthrough innovation in gene editing delivery and make a profound impact on the future of medicine. Exceptionally qualified candidates may also be considered for a higher job title. If you're excited about next-gen LNPs, programmable medicines, and pushing the limits of targeted delivery, we'd love to hear from you! Please visit our website, ******************** for more information about Ionis and to apply for this position; reference requisition #IONIS003556 Ionis offers an excellent benefits package! Follow this link for more details: Ionis Benefits Full Benefits Link: ************************************************************************************************************************ The pay scale for this position is $103,740 to $134,974 NO PHONE CALLS PLEASE. PRINCIPALS ONLY. Ionis Pharmaceuticals, Inc. and all its subsidiaries are proud to be EEO employers.

Reports To: COO Job Type: Full time, Exempt Anticipated Schedule: 4 days a week, 8 hours per day, Monday - Thursday (Hybrid) As a pioneering woman-owned business founded in 2014, Bicycle Transit Systems leads the way in bike share program management nationwide - we are the only vertically integrated bike share provider overseeing the customer experience from product design to local implementation and operation. Our mission is to strengthen communities and protect our planet through the development and implementation of bike share. At Bike Transit, we foster a culture of collaboration, innovation, and environmental stewardship. We are passionate about providing safe, seamless, reliable, and memorable customer experiences, building mutually-rewarding relationships with our riders, suppliers, and clients. We are currently seeking a Decision Scientist to solve complex business challenges by leveraging a variety of quantitative methods to identify and solve problems. They will create and apply advanced analytical approaches to optimize processes, guide decision-making, and provide data-driven insights to shape business strategy and operations. This role is for someone who is excited about solving problems, thinks critically, adapts to challenges, and applies the best methods to deliver impactful solutions. A few of the benefits we offer: Competitive compensation package Affordable medical, dental, and vision insurance options 401k with up to 4% employer match 4-Day work week 3 weeks PTO + 1 week sick time off per year Paid parental leave Essential Duties and Responsibilities: Solve exciting and complex business challenges, including station siting optimization, demand forecasting, fraud detection, maintenance prediction, resource allocation, and more. Leverage large datasets, statistical techniques, and hypothesis testing to produce actionable recommendations. Use quantitative analysis to understand key drivers of business performance, system dynamics, and long-term trends. Develop and implement decision-making and predictive models, and advanced analytical techniques such as optimization, machine learning, and simulation. Design and implement experiments to test hypotheses. Collaborate with cross-functional teams to implement, document, validate and monitor the impact of decisions Work with business and product leaders to define key metrics and provide insights that support strategic goals. Mentor junior analysts on advanced methods, problem-solving approaches, and best practices in analytics. Lead and manage small Data Team, including evaluating performance, providing regular feedback, holding regular one-on-one check-ins, and conducting performance reviews. Currently the Team has one Data Analyst. Create reports, dashboards, and ad hoc analyses to support business decision-making. Communicate findings to stakeholders in a clear and concise manner, often through visual reporting tools Partner with business analysts, field personnel, and cross-functional teams to identify challenges and develop data-driven solutions. Collaborate with engineering team to manage data logistics - including data specifications, transfers, structures, and rules. Take a proactive, independent role in project design, planning & execution. Stay abreast of industry trends and innovations in data science and analytics Work closely with software engineers to guide the design and optimization of database structures and data pipelines, ensuring they meet analytical requirements and uphold data integrity Other duties as assigned Education and/or Work Experience Requirements: Education & Experience: Master's, PhD, or equivalent experience in Statistics, Operations Research, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field. 3+ years of experience in data analysis, business intelligence, operations research, or a related quantitative role. Technical Skills: Fluency in SQL for data extraction and manipulation. Fluency with programming languages such as R or Python for statistical analysis and modeling. Proficiency in data visualization tools like Tableau, Power BI, or similar platforms. Expertise in advanced analytics techniques, including predictive modeling, machine learning, optimization, simulation, and statistical methods. Experience working with big data. Business & Problem-Solving Skills: Ability to translate complex data findings into actionable insights for business product teams and executive leadership. Experience in decision science, system dynamics, or strategic modeling to inform business operations. Strong problem-solving skills with a focus on structured analytical thinking and attention to detail. Ability to work independently, manage multiple projects, and take ownership of analysis and recommendations. Collaboration & Communication: Strong written and verbal communication skills, with the ability to present data-driven insights to both technical and non-technical audiences. Ability to collaborate with engineering teams on data logistics, specifications, and infrastructure. Experience working cross-functionally with business analysts, operations teams, and field personnel to address challenges and improve decision-making. Physical Requirements and Special Demands (The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.): Ability to maintain regular, punctual attendance in accordance with company and department policy. Repetitive motion required of the wrists, hands, or fingers occasionally throughout the workday. Must be able to talk, listen and speak clearly on telephone throughout the workday. Any travel would be primarily local during the business day. Work from home shifts require a reliable internet connection and an environment to take calls where quiet & customer privacy can be assured. This role routinely uses standard office equipment such as computers, phones, and photocopiers. Must be able to lift up to 20lbs. Riding a bikeshare bike, occasionally out on the field or in the warehouse. This role requires the ability to speak clearly so listeners can understand, understand the speech of another person, see details of objects that are less than a few feet away, stand or sit for several hours straight at a time, and bend or stoop as necessary. This is a full-time, hybrid position expected to work 32 hours per week (4 days per week, 8 hours per day). Some hours outside of this, including nights and weekends, may be required. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Equal Opportunity Employer M/F/V/D

**What Real World Evidence and Clinical Research contributes to Cardinal Health** The _Scientist, Real World Evidence (Clinical Research)_ , will have responsibility to support the design and implementation of innovative Real-World Evidence (RWE)/Health Economics & Outcomes Research (HEOR) strategies and activities to produce scientific evidence and publications for our pharmaceutical clients, with guidance from Lead/Senior Scientists. Ideally, this individual will have experience conducting observational research studies from various data sources including administrative claims, electronic health records (EHR), or through primary data collection. This Scientist will collaborate with cross-functional teams in developing study proposals, research protocols, and statistical analysis plans; conducting analyses; and reporting results. A majority of the work this team is involved with is focused in Oncology. **_Location_** - Fully remote with minimal expectation of travel. Individuals in this role are able to work 8am - 5pm whatever time zone they reside in. **_Responsibilities_** + Support the generation of high-quality real-world research studies using administrative claims, EHR, and primary data collection. + Conduct background product/disease area literature reviews. + Draft portions of research proposals, research protocols, table shells, statistical analysis plans, and study reports. + Proactively address research design and analytical issues. + Will work in a fast-paced environment engaging on multiple projects with multiple manufacturers at the same time. + Support the development of research study concepts, protocol, and reports. + Utilize appropriate research methods and data sources to deliver high-value and quality real-world research to pharmaceutical manufacturers. + Prepare proposal requests for RWE/HEOR work projects and manages selection process. + Prepare technical presentations and actively engage with the external environment in improving the state of the discipline. + Prepare HEOR data as background materials for discussion with pharmaceutical customers. + Communicate effectively and professionally with pharmaceutical HEOR customers. + Ability to provide excellent customer service when delivering work on projects. + Develop expertise in RWE/HEOR through publications and presentations of scientific research. + Collaborate with HEOR team, as required, to compile evidence required to execute projects for pharmaceutical clients. + Generate communication materials, publications, and reports. + Interact with HEOR personnel to assist with background materials for reports and publications. + Interact with HEOR staff to identify research activities and/or evidence to advance health care efficiencies for pharmaceutical clients. **_Qualifications_** + Experience with research protocol development and conducting observational research, highly preferred. + Experience (in education or through work experience) in a clinical setting, a plus. + Experience in Statistics or an individual with a degree in Public Health or Epidemiology, a plus. + Experience in Oncology, a plus but not required. + Problem-solving capability with well-developed conceptual and integrative thinking required. + Demonstrated success implementing projects, including engagement with key stakeholders, with high degree of autonomy, preferred + Excellent written and verbal communication skills, required. **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives + Completes work independently; receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues \#LI-LP \#LI-remote **Anticipated Pay Range** $93,500.00 - 133,600.00 USD **Bonus Eligible** - No **Benefits** : Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close** : 04/10/2025 * if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

The Chan Zuckerberg Biohub San Francisco ( CZ Biohub SF ) (***************************** is an independent nonprofit research institute that brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine. CZ Biohub SF itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all. Our Vision We pursue large scientific challenges that cannot be pursued in conventional environments We enable individual investigators to pursue their riskiest and most innovative ideas The technologies developed at CZ Biohub San Francisco facilitate research by scientists and clinicians at our home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of CZ Biohub Network and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution. The Opportunity Reporting to the Platform Leader of Computational Microscopy, the Machine Learning Scientist will have the primary responsibility for developing innovative and impactful AI/ML models of intracellular dynamics and accelerating CZ Biohub's ambitious goals of mapping dynamic cell systems across biological scales. Please include a cover letter describing the match between your career trajectory and this role (required) . If you have letters of recommendation that you would like to share before the interviews, please mention in the cover letter. You will Design imaging experiments in collaboration with experimental colleagues. You will need to be able to join the colleagues in BSL2 (Biosafetly level 2) laboratory to discuss experiments and data Develop explainability methods that provide actionable insights in model performance and testable biological hypotheses for interactions among organelles and cells in the presence of intrinsic and extrinsic perturbations Contribute to and extend our computational pipelines (e.g., ************************************ for training models with terabyte-scale imaging data acquired with high throughput live cell screens Train, deploy, and maintain state-of-the-art deep learning models for use by biologists within the CZ Biohub, partner universities, and beyond Demonstrate scholarly excellence with regular dissemination of the findings via papers, presentations, and computational demonstrations You have Essential - MS degree with 3 years of relevant experience or a recent PhD degree in computer science, bioimaging, clinical imaging, computer vision, bioengineering, or a related field with AI/ML research experience 3+ years of experience with Python and relevant deep learning frameworks (PyTorch, JAX, etc.) Strong mathematical foundation in linear algebra, calculus, and optimization algorithms Track record of preprints or publications focused on computer vision for imaging data Experience working in Linux environments and familiarity with version control systems (eg. git) Experience working with terabyte-scale datasets and training large AI/ML models An appetite to study and build on state-of-the-art research in AI/ML for cell biology Strong interpersonal skills with excellent written and verbal communication skills Ability to respond quickly to data and needs of colleagues, and prioritize work efficiently Nice to have - Ability and interest in contributing to community standards and open source ecosystem Demonstrated problem-solving abilities and judgement to drive success in a dynamic field Experience with cell biology and data visualization methods relevant to cell biology Experience using hyperparameter optimization and MLOps frameworks (PyTorch Lightning, Optuna, MLFlow) Compensation The San Francisco, CA base pay range for this role is Machine Learning Scientist I = $131,000.00 - $180,400.00 and Machine Learning Scientist II = $150,000.00 - $205,700.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. What We Provide Resources to disrupt and innovate at the frontiers of our knowledge of biology and disease A collegial and collaborative environment consisting of diverse expertise Access to collaborators, resources and facilities at our three partner universities (Stanford University, UC Berkeley, and UC San Francisco) and at partner organizations in the SF Bay Area and beyond Competitive compensation and benefits commensurate with the experience If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Benefits We offer a robust benefits program that enables the important work Biohubbers do everyday. Our benefits include healthcare coverage, life and disability insurance, commuter subsidies, family planning services with fertility care, childcare stipend, 401(k) match, flexible time off and a generous parental leave policy. In addition, we honor our commitment to career development and our value of scholarly excellence through regular onsite opportunities to learn from the world's leading scientists. The CZ Biohub Network is an equal opportunity employer committed to diversity of thought, ideas and perspectives. We are committed to cultivating an inclusive organization where all Biohubbers feel inspired and know their work makes an important contribution. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Pursuant to the California Fair Chance Act, we will consider for employment qualified applicants with arrest and conviction records. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. The CZ Biohub Network does not accept unsolicited headhunter and agency resumes. The CZ Biohub Network will not pay fees to any third-party agency or company that does not have a signed agreement with the CZ Biohub Network.

Senior/Staff Bioinformatics Production Scientist We are seeking a highly motivated, results-oriented, and collaborative individual to join our Bioinformatics and Analytics team as a Senior/Staff Bioinformatics Production Scientist. In this role, you will combine genomics expertise with strong production engineering skills to design and implement robust, scalable computational pipelines for large-scale NGS data processing and interpretation. This role is critical in advancing our bioinformatics capabilities to ensure best-in-class performance for Twist Bioscience's production pipelines. You will be responsible for architecting high-throughput workflows, maintaining reliable bioinformatics infrastructure, and collaborating with Field Application Scientists (FAS) to optimize pipelines that directly support customer needs and field operations. Key Responsibilities Pipeline Design & Implementation Develop and maintain production-grade bioinformatics pipelines for NGS data processing using modern workflow frameworks (e.g., Nextflow, Airflow). Ensure pipelines are scalable, reproducible, and optimized for high-throughput sequencing data. Integrate best practices in software development, including CI/CD, containerization (Docker, Singularity), and cloud-based execution. Work directly with Field Application Scientists (FAS) to understand their workflow needs and translate them into robust, user-friendly bioinformatics solutions. System Architecture & Production Engineering Lead architectural decisions for bioinformatics workflows in cloud-based or on-prem environments. Collaborate with DevOps teams to maintain monitoring, logging, and alerting systems for pipeline reliability and performance. Design and implement data storage solutions for large-scale genomic datasets, balancing accessibility, cost, and efficiency. Develop standardized deployment methods for field-facing applications and pipeline updates. Collaboration & Cross-Functional Support Partner with FAS teams to troubleshoot pipeline-related issues and improve field operations. Work closely with wet-lab scientists and assay development teams to provide bioinformatics insights for product troubleshooting and optimization. Collaborate with other Senior Bioinformatics Scientists to ensure consistency in data processing pipelines and best practices. Required Qualifications Education & Experience: Master's degree with 6-8 years of industry experience, or a Ph.D. with 3+ years of industry experience in Bioinformatics, Computational Biology, Computer Science, or a related field. Bioinformatics & Production Pipeline Expertise: Experience designing, implementing, and optimizing production-scale bioinformatics pipelines for NGS data. Strong understanding of workflow orchestration frameworks (e.g., Nextflow, Snakemake, Airflow). Hands-on experience with large-scale genomic data processing and storage solutions. Background in assay development, genomics-based diagnostics, or quality control for high-throughput NGS data. Software Development & DevOps Skills: Proficiency in Python. Strong familiarity with containerization (Docker, Kubernetes), CI/CD, and cloud platforms (AWS, GCP, or Azure). Experience with monitoring, logging, and alerting tools for bioinformatics workflows. Cross-Functional Collaboration & Support: Ability to work closely with Field Application Scientists, translating field needs into scalable computational solutions. Strong troubleshooting skills and the ability to identify, debug, and resolve pipeline-related challenges in a high-throughput environment. Preferred Qualifications Experience with Rust, C++, SQL/dbt is a plus Strong grasp of infrastructure automation, cloud-native workflows, and scalable computing architectures. Familiarity with databases (SQL, dbt) and distributed computing frameworks. Experience with high-performance computing (HPC) environments and storage optimization strategies. About Twist Bioscience Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA. At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers. Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law. San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Nature and Scope Responsible for Technology Transfer and process scale up activities associated with parenteral drug products. Supports cross-functional Production, Engineering, Quality Assurance, and Validation departments to support the trouble shooting of manufacturing issues. Support the ANDA submission activities and regulatory responses to FDA deficiency. Essential Duties and Responsibilities Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. * Design and execute the experiments for Tech Transfer, Process R&D/Scale up/Validation, and other activities needed to introduce a new product into cGMP manufacturing site. * Work with Production, Engineering, Quality Assurance, and Validation departments for equipment qualification, process scale up, optimization, and validation. * Work with R&D project leads and develop a robust technology transfer processes from lab scale to manufacturing site. * Co-ordinate with CMOs for the external Technology Transfers (If required). * Design and execute laboratory experiments to study material compatibility studies and/or cleaning validation activities. * Support the Troubleshooting for existing processes and analytical methods. * Evaluate vendor change notifications for raw materials, excipients and manufacturing materials against current specifications supporting cGMP manufacturing. * Generate the documents in support of regulatory submissions. * Ensure all work is performed and documented in accordance with existing company policies, procedures, current Good Manufacturing Practices, and health and safety requirements. * Perform any other tasks/duties as assigned by management. Education Requirements and Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. * Bachelor's Degree with 7-8 years' progressive work experience in Technical Services encompassing Tech Transfer, Technical Trouble shooting, and process optimization, required. * Master's Degree in Chemical Engineering or Pharmaceutical Chemistry with 3-6 years' experience, preferred. * Broad knowledge of Process development and scale up of sterile injectable products is essential. * "Outside the box thinking" and Collaborative mindset is required. * Hands on skills in Laboratory instruments such as particle sizer, HPLC, Karl Fisher, DSC, etc. * Knowledge of pharmaceutical product development and lifecycle management is a plus. * Excellent organizational, interpersonal and communication skills are required. * Proficiency in Microsoft Office Word and Excel is required. Physical Environment and Requirements * Physically able to wear laboratory protective gowning and equipment, including but not limited to gowning, goggles, face shields, respirators, and protective gloves. PPE and Respirators are essential for the health and safety of employees. * Specific vision requirements include 20/40 near vision (can be corrected with eyeglasses or contacts) and color vision. * Employees must maintain a clean-shaven appearance each working shift to wear tight-fitting respirators properly. American Regent celebrates diversity and we are committed to creating an inclusive environment for all employees. We are an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, or protected veteran status. Applicants have rights under Federal Employment Laws. * FMLA poster: ********************************************************** * Know Your Rights: Know Your Rights: Workplace discrimination is illegal (eeoc.gov) * Employee Polygraph Protection Act: ********************************************************* American Regent Inc. endeavors to make ********************************** accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please email **************************************.