Research Associate Jobs in San Ramon, CA

Currently looking for a Research Scientist to join one of the most exciting startups in the market right now. They're building an AI model capable of performing on the same level as a human engineer, capable of quantitive reasoning. They're pitching themselves as an AGI business rather than your typical AI startup. Founded by 4 extremely experienced co-founders, excluding the ex CTO of two FTSE 500 companies, who has also previously excited startups. The Head of AI is ex-deepmind and microsoft and is one of the most respected engineers within the industry (you've probably read his research or code before). This is an equity heavy role, with a base of $200k which will progress quickly as the company grows. If you have strong experience post training models, please apply!

Voltai's mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the world's most complex technologies-semiconductors and electronics. About the Role We're looking for a Machine Learning Research Scientist who thinks crazy ideas are normal, doesn't take ‘No' as an answer, and thrives on the bursts of dopamine that come with startup responsibilities. As a Machine Learning Research Scientist, your ultimate goal will be to conduct cutting-edge research and build AI systems that deeply understand and innovate within the semiconductor and electronics domains, serving our customers 🙌. You will be responsible for developing new models, experimenting with novel architectures, and advancing the state of the art in AI for the semiconductor and electronics industries. Your work will involve both theoretical research and practical implementation, including designing and optimizing models, creating advanced algorithms, and publishing groundbreaking research. Key Responsibilities: Conduct original research in machine learning and AI with a focus on models that integrate multiple modalities. Develop, train, and fine-tune large language models (LLMs) and multi-modal models (MMMs). Explore and scale trillion-parameter neural networks, along with smaller, specialized models. Design and implement models capable of solving discrete and continuous constraint reasoning tasks and graph-related challenges. Develop and evaluate interconnected systems comprising LLMs, NLP models, and retrieval algorithms. Publish research findings in top AI conferences and journals, contributing to the academic and industry community. Collaborate with cross-functional teams to translate research outcomes into practical applications. Innovate and create data synthetically and collect it from human interactions for diverse tasks. Lead efforts in optimizing both open-source and proprietary models, considering various constraints. Required Skillsets: Strong background in machine learning, including sequence modeling, generative models, and model architecture. Expertise in Pytorch, Python, CUDA, and Triton. Proven research experience with a strong publication record in top AI conferences and journals. Deep understanding of pre-training and fine-tuning large multi-modal models. Experience implementing research papers into production code. Familiarity with the latest state-of-the-art techniques, including prompting and inference-time search methods. Experience in developing and managing large-scale machine learning systems. Proficiency in configuring and optimizing hardware and operating systems for maximum performance. Experience building distributed training systems for AI models in high-performance computing (HPC) clusters. Compensation Philosophy At Voltai, we believe that exceptional work deserves exceptional rewards. Our compensation structure is designed to reflect the value each team member brings to our pioneering efforts in the semiconductor and AI industries. For this role, we offer a highly competitive market-rate salary, tailored to the candidate's experience, expertise, and potential impact. Our approach ensures that compensation aligns with individual contributions and the long-term success of our mission. Our Benefits At Voltai, we believe in taking care of our team so they can focus on pushing the boundaries of innovation. Our benefits package is designed to support your well-being and fuel your professional growth. Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked. Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered. Commitment to Your Growth: At Voltai, we're dedicated to your continuous learning and development. Whether it's through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field. Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.

Our work We are a well capitalized stealth VC-backed startup building a new type of spatial AI capable of universally solving autonomy. We innovate at the foundational layer of AI by training our own AI models. Our team Our team is composed of AI pioneers and leaders from Google X, Google Brain, and Unity. Several of us are repeat founders, with deep commercialization insights across multiple enterprise segments. We enjoy long, deep ideations around entirely unexplored AI use cases in autonomy (cars, drones, robots). Who you are Curious: you have an innate curiosity for all things intellectual, and it's something you can't turn off. You obsess over finer details others miss. High intensity: you thrive in a high-stakes environment, and are driven by an innate obsession, not by others. Fast learner: you gravitate toward learning new things, and often find yourself learning more quickly than everyone around you. Driven by discomfort: you enjoy leaving your comfort zone and challenging yourself Creative: track record of solving hard problems with solutions worthy of academic papers Educator: you take pride in your ability to communicate complex topics clearly and have excellent speaking and writing skills. Zero ego: you don't just take feedback, but truly see it as a gift. You don't wait until feedback is given, but solicit it with every opportunity. Founder mentality: you roll up your sleeves to help solve the most pressing problem on a given day, even if it has nothing to do with this job post. Where you are West or East Coast USA, Bay Area Preferred Technical skills Broad technical foundation in software engineering and deep learning (through self-study, practical experience, or PhD) Deep learning research: publications at top ML venues, or practical experience training multimodal foundation models Trained LLMs, LVMs, or any foundation model Product: experience with defining, building, and launching new products Programming: deep knowledge of Python ML: knows the theory and applied side of deep learning, especially computer vision and foundational model architectures (PyTorch, OpenCV, Tensorflow) Robotics: experience here is a plus, but not required. Data: experience with distributed data pipelines (Beam/Spark/WebDataset) Backend: experience designing and building scalable and high availability server-side systems (Python, NodeJS, or Golang) Cloud: familiarity with DevOps and infrastructure (i.e. Docker, Kubernetes, GPU scheduling) on cloud (i.e. GCP, AWS) Monitoring: experience with logging systems and monitoring tools such as DataDog, Sentry, and/or CloudWatch Security: familiarity with enforcing security standards as well as other data regulation compliances (i.e. GDPR, SOC2) Version Control: knows the ins and outs of Git and has extensive experience collaborating with teams on systems like GitHub, GitLab, etc. Domain-specific: spatial data and analytics, geographic information systems, spatial databases (PostGIS) Day in the life Expect to stretch your imagination daily as we are building a new AI capable of making robots ubiquitous. Expect to learn new skills every day, regardless of the level you're currently at. We are a small team that supports each other. You will work closely with our AI experts but also product engineers.

⚡ Staff Research Scientist / Engineer 💊 Biology Foundation Models ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $250,000 - $350,000 salary + bonus + equity Come join a revolutionary stealth biotech building interconnected Foundational Models across multiple modalities in biology and genomic discovery. Opportunity to join as a core member in a rapidly growing division, founded by A-listers in tech & academia. Seeking experts in modern AI methods & architectures - Generative Models, Diffusion, GNN, Flow Models, Self-Supervised Learning, Multimodality etc. Responsibilities: Design, develop and train novel AI models for a multimodal approach to biodiscovery Research and iterate models to ensure optimal-performance data transformation Navigate the latest literature and fine-tune models geared towards biological breakthroughs Proactively impact the roadmap & talent onboarding for their development Requirements: MS or PhD in Comp Sci/ML, Chem, Bio or related field 5+ years development & training of LLM/Diffusion/GNN models for 7-70b param models Experience in computational packages applied to chem/bio (bonus) Proficiency in leveraging high compute GPU clusters Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG, Genentech & AI pioneering companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at *********************** ⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int el

Backed by T1 AI investors (Andreeson Horowitz), you will join a crack research team of ex Skolkovo Institute of Science and Technology, Stanford, Google, Intel, Salesforce) to build a multimodal text to video application for real-time retail. They are playing in a $13 trillion industry and are reacting to fashion's landscape, shaped by a relentless pursuit of speed, creativity, and the continuous renewal of trends. Most brands are hindered by manual workflows, juggling disparate tools. This startup has anticipated a tech shift to unlock lengthy creative bottlenecks and level the landscape for all. Enter Generative AI. As a senior applied scientist, you will have deep skills in fine-tuning foundational multi-modal text to video models (or fine-tuned existing ones). At the bare minimum, you know how a foundational model works from ideation to implementation! Having a diffusion background is preferred, but we can riff with you if you come with a GANs background. We're also happy if you've done some cool things with image generation or image editing. We have just raised significant investment from big AI players, with a burn rate of 7 years, and a single-digit million ARR, just ask about the existing client list. Offices in NYC & SF!

Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you

Why Join Inworld Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft's M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures. Inworld is the leading AI engine for games and interactive media. Inworld's suite of AI components enables developers to build interactive, responsive, and personalized AI gaming experiences, orchestrate models to create intelligent game behaviors, and unlock enhanced productivity with AI-generated content. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity. Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was also named among LinkedIn's Top Startups of 2024 in the USA. We are seeking Staff and Principal level AI Researchers with extensive experience in researching, designing, and implementing machine learning models and algorithms. You will be at the forefront of advancing our AI capabilities by developing state-of-the-art models and contributing to cutting-edge research in artificial intelligence. Your work will involve exploring novel ideas, training large-scale models, and collaborating closely with other researchers and engineers to push the boundaries of what's possible in AI. Qualifications PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field. Strong background in machine learning research, demonstrated by publications or significant contributions to the field. Experience in training large models and working with state-of-the-art approaches in machine learning. Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Knowledge of advanced AI architectures, including transformers, diffusion models, and reinforcement learning techniques. Programming skills in Python or similar languages. Familiarity with pre-training, fine-tuning and evaluating LLMs such as LLaMA, Mistral, Qwen, etc., is a significant plus. You May Be a Good Fit If You Have Have a track record of innovating and improving machine learning algorithms. Are passionate about understanding and developing model architectures, and enjoy performing careful empirical research. Own and pursue a research agenda, choosing impactful problems and autonomously carrying out long-term projects. Enjoy collaborating in a team environment, working together to make significant discoveries. Are excited about staying up-to-date with the latest advancements in machine learning research and its applications. View research and engineering as two sides of the same coin, engaging in both to achieve your goals. Responsibilities Conduct cutting-edge research to advance our AI models and capabilities. Develop and implement novel machine learning techniques, experimenting with new architectures and algorithms. Train and evaluate large-scale ML models, optimizing for quality, latency and cost. Collaborate with cross-functional teams, sharing insights and integrating research findings into our products. Communicate results internally and publicly, contributing to the broader AI community. Mentor junior researchers and engineers, fostering a culture of learning and collaboration. Representative Projects Exploring the impact of new attention mechanisms within transformer architectures to improve model quality and latency. Investigating methods for 3D animation synthesis by performing ablation study to thoroughly compare diffusion vs flow-matching based approaches. Developing algorithms for on-device AI, optimizing transformer-based models for specific hardware constraints. Researching and implementing techniques for creating new AI voices, enabling developers to generate and use them at runtime. In-office location: Mountain View, CA, United States. The US base salary range for this full-time position is $240,000 - $385,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day, our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters at the cutting edge of AI. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description: As a Staff AI Scientist, you will play a pivotal role in advancing LinkedIn's efforts in cutting-edge AI research and development, focusing on large-scale foundation models and AI innovations. You will specialize in developing, training, and optimizing foundation models, including Large Language Models (LLMs), utilizing state-of-the-art deep learning architectures such as multi-billion parameter transformers and scaling them to serve LinkedIn's global user base. Your work will involve the design and deployment of high-performance AI systems, leveraging GPUs and other hardware accelerators for large-scale training and inference. You will collaborate with a world-class team of researchers and engineers to develop and advance the next generation of AI models to push the boundaries of AI at scale, working on complex problems such as distributed training, model parallelism, and system co-design. A successful candidate will be comfortable operating at the intersection of AI research and engineering, with a deep understanding of the latest advancements including but not limited to large model training, post-training techniques for planning and reasoning, fine-tuning strategies, reinforcement learning techniques. Responsibilities: • Lead and contribute to the research, design, and development of large-scale foundation AI models, focusing on LLMs, transformer architectures, and cutting-edge AI systems. • Publish the findings and innovations as the latest academic and industry research in top notch core AI venues such as ICML, NeurIPS, ICLR, ACL,, patents, and conferences as appropriate. • Stay abreast of the latest academic and industry research, applying relevant findings to improve LinkedIn's AI capabilities. • Innovate in large-scale model training, leveraging GPUs and specialized hardware for optimal performance. • Develop and maintain scalable AI pipelines, optimizing training and inference workflows to handle vast amounts of data. • Mentor junior engineers and contribute to team growth and knowledge sharing. • Collaborate with cross-functional teams of machine learning engineers, infrastructure engineers, and AI researchers to deliver impactful AI innovations across LinkedIn's products. Basic Qualifications: • Bachelor's degree in Computer Science or related technical field or equivalent practical experience • 4+ years of experience with programming languages such as Java, Python, etc. • 4+ years of experience in machine learning or AI engineering. • 4+ years of experience in the design and development of algorithmic solutions. Preferred Qualifications: • 6+ years of hands-on experience in large-scale model training, model-system co-design, or large AI systems. • PhD in Computer Science, Machine Learning, or a related technical discipline with a focus on advanced AI/ML techniques • Proven experience in building and optimizing large-scale AI/ML models using frameworks such as PyTorch, PySpark, and CUDA. • Proven track record of publications in top notch core AI venues including but not limited to ICML, NeurIPS, ICLR, ACL. • Expertise in distributed training, model parallelism, and hardware acceleration for AI workloads, including GPUs and TPUs. • Demonstrated ability to solve complex AI challenges in large-scale environments, optimizing models for efficiency and scalability. • Strong proficiency in AI system design, model optimization, and the development of production-quality AI pipelines. • Published work in AI research or significant contributions to industry-leading AI technologies. • Excellent communication skills and a demonstrated sense of ownership over key AI projects. Suggested Skills: • Large Language Models (LLM) • Generative AI (GAI) • AI Research and Development • GPU and Hardware Acceleration • Distributed AI Systems and Model Parallelism • You Will Benefit From Our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit LinkedIn Benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

More Data. Faster. Global data volume traffic has been growing exponentially. The onset of AI applications is expected to make this worse. New insulator technology that enables higher frequency data transmission at lower power consumption is required to scale AI infrastructure, starting with the data center fabric. By synthesizing expertise in bottom-up Molecular Design, Computational Mechanics, and Electrical Engineering, Thintronics is unifying and optimizing the high-speed interconnect insulator, from silicon-to-system, enabling the highest data rates at the lowest power. Thintronics is a start-up company located in Alameda, CA. We are a team of chemists, materials scientists, and engineers shaping the future of data and devices. We offer an exciting start-up environment at the interface of R&D, machine learning-aided product design, manufacturing, and rapid market implementation. Job Role - Who We Want Thintronics is looking for a detail-oriented and enthusiastic research associate to join our manufacturing team. This role focuses on designing and executing experiments on manufacturing equipment (material handling, coating and converting line), and characterization at every stage of the processing. In this position, you will work closely with R&D to deepen our understanding of the core Thintronics technology and develop the manufacturing process of our products. As part of a start-up team, you will wear many hats. We are looking for someone with a “can-do” attitude, who is excited about the opportunity to develop a broad range of practical skills and is enthusiastic about their own exploration. Roles and responsibilities are collaborative and may evolve based on the needs of our quickly growing company as well as your skillset/interests. Minimum Qualifications: B.S. in Chemistry, Chemical Engineering, Materials Science, or related discipline Rigorous attention to detail with experimental design, execution, and recordkeeping Strong analytical, organizational, teamwork, and time management skills Able to juggle multiple tasks efficiently whilst ensuring safety remains a top priority Must be able to move up to 50 pounds Preferred Qualifications: Experience operating or maintaining R&D or manufacturing equipment including pumps, mixers, dispersers, coaters, converters, slitters, and sheeters Experience with slot-die coaters or any other wet coating machines 1-5 years of relevant industry experience Experience with polymers and flammable solvents Preference will go to local candidates Level of research associate (I, II, III) will depend on overall qualifications and years of experience. Compensation/Benefits Competitive Bay Area salary 100% employee coverage for Health/Vision/Dental Insurance Unlimited PTO policy + Company Holidays Equity/Stock Options Interested Candidates: Please submit your resume via email to: *********************** with “Manufacturing Associate Candidate” as the subject line.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA writing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. Multiple openings are available on a rapidly growing team. As an early team member, you will have the opportunity to contribute to strategic planning and future hiring. If you are interested in building a new frontier in genetic medicine, please apply via LinkedIn or through our website (*************** We are seeking a skilled AAV Production Senior Research Associate/Associate Scientist to join our growing team. This role involves leading and executing all aspects of AAV production, with a focus on downstream optimization to enhance viral yield, quality, and consistency. The ideal candidate will bring extensive expertise in AAV production across adherent and suspension cell platforms and demonstrate a proven track record of optimizing protocols for scale-up, purification, and workflow efficiency. This role requires a collaborative spirit and the ability to work across teams to support AAV production and characterization. Key Responsibilities AAV Production and Process Development Develop and scale AAV production processes, including IOX gradient purification and affinity column purification, for increased yield and optimized turnaround. Perform cell culture for AAV production (adherent and suspension). Operate bioreactors, AKTA systems, pumps, mixers, and automated buffer exchange systems to streamline and automate purification workflows. Continuously improve purification methods (e.g., AKTA tandem purification) to automate and streamline multi-sample processes. AAV Characterization and Assay Development Run AAV potency, biodistribution, transduction efficiency, and immunofluorescence assays to evaluate AAV performance in mammalian cell lines. Perform dd PCR, sequencing, and ELISA-based assays for quantitative and qualitative characterization of AAV vectors, including titer, purity, and genome integrity assessments. Conduct in-depth analysis on AAV stability, aggregation, and particle-to-infectivity ratios to refine vector quality and consistency Collaborate on optimizing purification and buffer exchange protocols to enhance yield, purity, and formulation stability across multiple AAV serotypes. Support upstream cell culture scale-up with a focus on consistent AAV quality and reproducibility for downstream characterization assays. Inventory, Documentation, and Workflow Management Manage lab inventory, ensuring timely ordering of supplies and efficient use of resources. Maintain accurate records and data using platforms such as Benchling Workflow; author SOPs, testing summaries, and production batch records. Produce AAV lots to support research and preclinical studies, ensuring all production steps meet quality and consistency standards. Collaboration and Training Train and guide team members in AAV production techniques. Support viral transduction for in vitro and in vivo applications. Collaborate with cross-functional teams to meet project goals, and advance novel vectors into pipeline. Lead troubleshooting efforts for production challenges and ensure compliance with established protocols. Qualifications Education: Bachelors or Masters in Molecular Biology, Biochemistry, Virology, or a related field, or equivalent experience. Experience: 4+ years of hands-on industry experience in AAV production, preferably with both adherent and suspension HEK293 cells. Proven track record in scale-up production and purification processes. Technical Skills: Proficiency with AKTA, bioreactors, molecular biology techniques (DNA/RNA/protein isolation, cDNA synthesis, RT-PCR, qPCR, digital PCR, western blot, and immunofluorescence). Leadership: Demonstrated ability to manage and mentor team members in a production environment. Analytical Skills: Strong troubleshooting and optimization skills for viral vector production. Preference will be given to those who display: High motivation, with a strong work ethic and dedication to generating impact Attention to detail, with the ability to extract deep insights from data Ability to go from ideation to data in an independent fashion Long-term personal vision with defined career goals High EQ with team-oriented thinking Demonstrated excellence in small team environments, including a “no task is too small” attitude If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn or through our website (*************** Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

We are working on behalf of a top performing trading firm, who are looking for a Senior Quantitative Researcher to partner with the Senior Portfolio Manager to create alpha from various data sources for the systematic trading of global multi-asset class strategies. Location Berkeley, CA (open to US-based candidates) Principal Responsibilities Work alongside the Senior Portfolio Manager on building prediction and portfolio optimisation pipelines: Understand the potential prediction power from the data source and identify alphas Develop state-of-the-art ML algorithms for prediction and optimisation Performing various statistical analysis to ensure the robustness Mentor and guide junior team members Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets Aid in developing and extending the team's proprietary research platform Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research Preferred Technical Skills Strongly skilled in Python and R (Pandas, NumPy, TensorFlow, PyTorch, etc.) Ph.D. degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts Experience and success working with large and diverse data sets Preferred Experience 4+ years of experience working in a systematic trading environment 4+ years of hands-on experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.) Established alpha research pipeline with production grade output Strong experience in evaluating alphas with statistical methods Experience collaborating effectively with cross-functional teams, multitasking and adapting in a fast-paced environment Highly Valued Relevant Experience Experience working with big data sets Experience working in an autonomous, fast-paced environment

We are seeking a talented and dynamic Decision Scientist with strong expertise in Tableau and SQL to join our dynamic team. The candidate will leverage a mix of data engineering, analytics, dashboarding and storytelling to derive actionable insights and help improve customer experience across digital journeys. Our ideal candidate is someone who is proficient at execution, adept at managing timelines and roadmaps and is constantly looking to innovate and automate to bring greater efficiencies and drive strong business outcomes Key Responsibilities: Extract, process, and analyze large datasets from multiple sources to identify trends and patterns. Create and maintain visually compelling dashboards and reports using Tableau to present insights to stakeholders. Develop compelling presentations on Keynote to communicate strategic insights to leadership Collaborate with cross-functional teams to understand business needs and translate them into data solutions. Perform exploratory data analysis (EDA) and apply statistical techniques for hypothesis testing. Optimize data models and enhance data processing pipelines for efficiency and scalability. Communicate findings clearly to both technical and non-technical audiences. Stay updated with the latest trends and advancements in data analytics and visualization. Identify growth opportunities in form of automation, new solutions, enhancements etc. and follow an agile approach to translate ideas into outcomes Required Qualifications: Master's degree in Data Science, Computer Science, Statistics, or a related field, or equivalent work experience. Proven experience with data visualization and storytelling. Proficiency in Tableau for creating dashboards, reports, and data models. Strong skills in SQL for data extraction and manipulation, with a strong emphasis on self-driven and structured quality check process Familiarity with data integration tools and ETL processes. Excellent analytical, problem-solving, and communication skills. Excellent at cross-functional collaboration working with global teams, as well as independent execution and proactive management of timelines and dependencies (Strongly preferred) Experience with digital analytics (Adobe Workspace or Google Analytics) (Good to have) Hands-on experience with programming languages such as Python or R. (Good to have) Solid understanding of statistical methods and machine learning algorithms.

Title: Research Associate I Duration: 12+ Months Planning and execution of relevant experiments to support development and qualification of analytical assays for enzyme replacement therapies Methods typically include potency, purity, cellular uptake , activity, enzyme kinetics and multiple compendial methods Plan and execute experimental studies in an efficient manner to meet project goals and timelines Provide concise and quantitative analysis of data and interpretation of experimental results. Provide effective oral presentations at departmental and interdepartmental meetings. Skills: Excellent understanding of large molecule proteomics, lyophilized materials and devices Proven technical skills in development and execution of biochemical, and/or bioassay methods for characterization of potency, purity and activity of proteins Collaborative skills to work in a cross-functional environment Excellent communication, collaboration and writing skills Proven data analysis, interpretation and scientific communication skills Proven flexibility and execution skills to deliver in a fast-paced, multi-tasking environment Experience working in a cross-functional environment Education: Bachelor's degree in biological sciences and at least 2 years of relevant experience, or 1 year experience with Masters. Regards, Lakshmi

W2 Contract-to-Hire Salary Range: $79,000 - $89,500 per year Duties and Responsibilities: Plan, conduct, analyze, and report in vivo studies (efficacy, PK/PD). Carry out pre-clinical model development and characterization. Conduct standard vivarium operations. Operate and maintain laboratory equipment and perform accurate and timely record-keeping and data analysis. Learn and conduct other in vivo-related techniques. Interface with cross-functional project team members and participate in and present at project and cross-departmental team meetings. Formulate and administer drugs and experimental compounds by various routes. Requirements and Qualifications: BS or MS in Biology or Pharmacology related discipline (3-5 years of experience) Proficiency with various mouse handling techniques, including dosing (IV, PO, subcutaneous, IP), tumor inoculation/measurements, in-life and terminal blood collection, survival surgeries, and handling of tissues during necropsy and processing for ex vivo analysis Computer literacy, especially GraphPad Prism, Excel, PowerPoint, and Word proficiency Excellent organizational and communication skills, along with the ability to work effectively in a multidisciplinary team environment Able to work independently on day-to-day responsibilities and research goals. Experience with in vivo imaging and Studylog is preferred. Research experience with mouse models of cancer and/or cancer immunotherapy is a plus. Desired Skills and Experience In Vivo, vivarium, animal husbandry, laboratory, Pharmacology, Oncology, GraphPad Prism, Word, Excel, PowerPoint, in vivo imaging, Studylog, cancer immunotherapy Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at *************************

The Scientific Team at Russell Tobin & Associates is hiring a Research Associate II for an exciting biotech/pharmaceutical organization in San Francisco, CA. Responsibilities Set up and execution of vivo studies using xenograft mouse models and solid tumors Animal preparation/surgery Tumor implantation (s.p., i.p., i.v., or orthotopic) Preparation and dosing of therapeutic T cells and other agents via various routes of administration Tracking of tumor growth (e.g., bioluminescence/fluorescence, and caliper measurements) Collection of blood, tissues, tumor samples Monitoring of animal health Ex vivo study responsibilities: cell culture, collection and processing of organs and tumor samples for immunological and pathological analysis Data collection and analysis Requirements Bachelor of Science degree in 5+ years' experience or Master of Science degree and 3+ years' experience Proficient in basic animal handling - blood sample collection and necropsy with organ/tumor sample collection Experience with data collection using (FlowJo, FCS Express, Prism) Cell therapy experience Proficient in sterile tissue culture technique and experience working with human cells Experience with flow cytometry assays and analysis Additional Details: Onsite position Position Type: 6-month contract with potential for extension/conversion Pay rate approved up to $50/hr Must be authorized to work in the United States. Russell Tobin offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors. APPLY NOW! About Us Russell Tobin is a leading minority-owned professional and technical recruitment and staffing advisory organization. We are comprised of specialized practices focusing on a variety of skill sets and industries. Having a depth and breadth of industry expertise, our subject matter experts are able to provide tailored and swift sourcing solutions to fulfill client hiring needs. In other words, we connect top talent with companies. We are the staffing arm of the Pride Global network, a minority-owned integrated human capital solutions firm, with additional offerings in vendor management, payroll programs, and business process optimization. As a certified minority-owned business, Pride Global and its affiliates - including Russell Tobin, Pride Health, and Pride Now - are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

The Research Associate is a lab-based stem cell biologist who is driven to contribute to a rigorous scientific and collaborative environment. The candidate will be integral to setting up the Cell Therapy laboratory and make impactful contributions towards meeting the department's goals. This is a two year contract position with the possibility of extension. Responsibilities Execute protocols to maintain and differentiate induced pluripotent stem cells (iPSCs). Perform analytical workflows encompassing but not limited to gene-based assays and cell-based assays. Data acquisition, analysis, interpretation and communication of findings in internal scientific meetings. Coordination of equipment on-boarding and maintenance. Maintain compliance with lab safety, training and documentation. Occasional weekend work and lifting ~25lbs. Qualifications BS/MS in Stem Cell Biology, Molecular Biology, Genetics. Strong background in sterile aseptic mammalian cell culture techniques and experience working with human iPSCs. Technical expertise in at least two of the following areas: cell based functional assays, image acquisition/analysis, molecular assays (NGS, RT-PCR, dd-PCR), flow cytometry. Proven ability to multitask, collaborate and communicate effectively. Experience with stem cell differentiation and quality control of differentiated cell types. Experience using software for flow cytometry analysis, electronic lab notebook and data visualization. Some examples include: FlowJo, Benchling, Spotfire, GraphPad Prism, Geneious, Snapgene. Salary $98,072-$105,081 Why Choose R&D Partners? As an employee, you have access to a comprehensive benefits package including: Medical insurance - PPO, HMO & HSA Dental & Vision insurance 401k plan Employee Assistance Program Long-term disability Weekly payroll Expense reimbursement Online timecard approval R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer.

Nosis Bio is a well-funded biotech startup exclusively focused on cell-specific delivery of RNA therapies. We are an all-scientist team of biologists, chemists, and machine learning experts who believe that targeted extrahepatic delivery is the only thing preventing RNA therapies from becoming the standard-of-care for most chronic diseases. We combine deep expertise in receptor biology, generative AI, and high throughput in vivo data generation to exponentially accelerate the development of RNA therapeutics for new tissues. About the Role: Nosis has developed an in vitro platform to rapidly screen candidate molecules. We are seeking a Research Associate to support and continue to develop these in vitro functions. These workstreams involve modern molecular biology, screening assays, Next-Generation Sequencing, and mammalian cell culture. The hits from this process are rapidly scaled up and tested in vivo. The research associate will also support this core platform process, with responsibilities that include tissue processing and analysis. The researcher will also have the opportunity to contribute to other aspects of therapeutic development, including in developing in vitro disease models for the evaluation of drug candidates. Nosis has a culture that fosters continuous learning and development. At Nosis, you will have the opportunity to work on a challenging pharmacological problem at the cutting edge of machine learning-enabled therapeutic design. What we are looking for: Solid foundation in laboratory research (2+ years laboratory experience, ideally in a biotechnology, pharmaceutical role) Hands-on experience with one or more of the following techniques: NGS sample preparation, mammalian cell culture, biochemistry and molecular biology techniques Training in working with primary cells and tissues is a plus Training in immunology or immuno-oncology is a plus Ability to work on site in our lab spaces located in Berkeley and Alameda. Attention to detail Ability to thrive in a collaborative, dynamic environment and meticulously follow the instructions Strong organizational, communication and interpersonal skills Excellent problem solving skills. Undergraduate degree in relevant field or equivalent experience in the biotechnology industry Passion for accelerating therapeutic development and delivering cures for patients in need Nosis offers comprehensive benefits including stock options, fully paid health insurance, unlimited vacation, and retirement investment account options.

ResVita Bio is an early-stage synthetic biology start-up, driven by a passion to revolutionize the treatment of chronic skin diseases using genetically engineered bacteria. As a spin-out of UC Berkeley, we have developed a cutting-edge platform that allows controlled colonization of the skin with therapeutic bacteria, enabling us to tackle devastating skin conditions. For our lead therapeutic, Netherton Syndrome, we are transitioning into the clinic, seeking to become the first treatment for this devestating, rare skin disease. We are seeking a dynamic and curious Research Associate to join our innovative team and push the boundaries of cellular engineering. This is an exciting, multi-disciplinary role, bridging the fields of synthetic biology, metabolic engineering, and immunology. As a Research Associate at ResVita Bio, you will work alongside experts in these fields to advance our platform, develop and test therapeutic strains, and contribute to the fight against deadly and destructive skin diseases. Key Qualifications: Bachelor's degree in molecular biology, microbiology, bioengineering, biochemistry, or a related field. Advanced skills in molecular cloning, molecular biology, and protein purification. Exceptional attention to detail, high standards for work quality, excellent communication skills, and the ability to work independently. A team player with an openness to giving and receiving constructive feedback. Eagerness to collaborate with a team of experts and adapt to the fast-paced environment of an early-stage startup. This position can be filled as Research Associate I, Research Associate II, or Senior Research Associate, depending on the candidate's level of experience and expertise. At ResVita Bio, we firmly believe that diversity is essential for achieving our mission of revolutionizing human disease outcomes. Join us and play a pivotal role in developing and commercializing technology at the forefront of biology and engineering. Responsibilities: Execute laboratory procedures, including DNA assembly and bacterial culturing, to produce prototypes of therapeutic microorganisms. Proactively troubleshoot, assist with protocol refinement, and seek out ways to boost productivity and automate procedures as needed. Work closely with scientists across the company to execute experiments and drive progress. Support laboratory operations by organizing and ordering supplies and preparing media. Salary 65,000-95,000 with medical, dental and vision insurance If you are excited about our mission and eager to make a meaningful impact in the world of skin disease treatment, we would love to hear from you. Let's work together to change lives through cutting-edge science and innovation. ****************** *******************

CoFactor Recruitment is partnered with an exciting early stage startup focused on empowering to the bodies immune system to assist in cellular regeneration. We are looking for a highly ambitious and talented Senior Research Associate to join our in vivo research team and play a critical role in our research and drug discovery efforts. You will have the opportunity to be an early team member and generate key experimental data in a highly enriching environment. There is significant opportunity to shape your role and advance within the company while learning the ins and outs of both drug development and life as a scientist in a fast-paced start-up. Key Responsibilities and Job Functions Conduct in vivo experiments in support of lead identification & optimization including PK-TE, PK-PD, and efficacy endpoints Work closely and collaboratively with fellow scientists to develop and optimize in vivo models Analyze workflows and assay performance to increase efficiency and robustness of generated data Use common data analysis tools (Excel, Prism, FlowJo) and keep detailed documentation in an electronic lab notebook Collaborate closely with team members towards study design and planning; present results to the research team in weekly lab meetings Qualifications and Skills B.S. or M.S. in relevant discipline with 1-5 years of industry experience Experience developing and executing rodent disease models (IACUC submission, study design and execution, data processing and presentation) Technically proficient with a track record in many aspects of in vivo rodent research (dosing routes, anesthesia, necropsy, tissue processing, etc.) Experience with multiple methods of tissue processing and analytical analysis (flow cytometry, ELISA, qPCR) Driven to both learn from, as well as teach, team members The ideal candidate is entrepreneurial, energetic, able to adapt to and shape a dynamic environment Eligible to work in the United States