Senior Data Scientist Jobs in Clinton, MA

Data Scientist, Computational BiologyRepertoire Immune Medicines is a biotechnology company working to unlock and direct the remarkable power of the human immune system to treat cancer and autoimmune disease. The company was founded on the belief that understanding the repertoire of T cell receptor (TCR)-antigen immune synapses that maintain health and drive disease represents one of the greatest opportunities for innovation in medical science. Repertoire scientists created and developed the DECODE TM platform, which allows in-depth characterization of TCR-antigen pairs, and the ability to deploy this information in the form of novel targeted immune medicines to fundamentally reprogram the immune system to kill tumors or induce immune homeostasis.From its sites in Cambridge, Massachusetts and Zurich, Switzerland, Repertoire's team is advancing a pipeline of DECODE-enabled immune medicines. For cancer, we are developing a pipeline of TCR bispecifics molecules for treatment of multiple cancer types. In addition, we are developing a pipeline of mRNA tolerizing vaccines for treatment of autoimmune diseases.Repertoire was founded by Flagship Pioneering and is supported by a strong investor base. In addition, the company recently entered a strategic partnership with Bristol Myers Squibb to develop tolerizing vaccines for up to three autoimmune diseases. Role Overview Repertoire Immune Medicines is seeking a Data Scientist to join the Computational Science team to enable the discovery of new insights from our extensive and growing immune synapse database. The successful candidate will work at the interface of computational biology, data science, machine learning, and statistics with broad impact across early discovery, candidate development, and biomarker discovery. Key Responsibilities Develop, evaluate, and implement rigorous analytical models and methods as needed for scientific discovery and development. Assist in the conception, development, optimization, and assessment of machine-learning models for understanding the T-cell receptor-peptide-MHC interface. Work alongside computer science engineers, wet-lab scientists, and project managers, contributing to early discovery, lead identification, lead optimization, and biomarker development. Maintain familiarity with scientific literature to assist in the development and benchmarking of new methods. Communicate findings both internally and externally via presentations and publication. Qualifications/Experience PhD in computational biology, machine learning, engineering, statistics, biostatistics, biomedical engineering, cancer biology, immunology, genetics or related field, or Master's with 3+ years experience, and a strong academic record. Demonstrated impact in multi-disciplinary, team-driven scientific projects. Expertise in programming in Python (including e.g. numpy, scipy, pandas, PyTorch, TensorFlow). Additional experience in R is helpful but not required. Expertise in analyzing complex, high-dimensional datasets using scientific and computational best practices to make novel scientific discoveries. Strong publication record. Scientific curiosity and interest in working in a dynamic, rapidly developing field. Background in immunology/immuno-oncology and experience working with single-cell sequencing data is a plus. Repertoire is committed towards social responsibility and developing an inclusive culture. Much as the power of the immune system lies in the diversity of T and B cells, we believe that our work requires the creativity and ingenuity of a diverse workforce, and we are committed to pursuing that in all facets of the work experience at Repertoire. We will continue to educate ourselves about the inequities and barriers present in our society and act as a company where we can make a difference. Repertoire is proud to be an Equal Opportunity Employer. Recruitment & Staffing Agencies: Repertoire Immune Medicines (“Repertoire”) does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Repertoire or its employees is strictly prohibited unless contacted directly by Repertoire's internal Human Resources team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Repertoire, and Repertoire will not owe any referral or other fees with respect thereto.

About Us We are tackling one of the largest problems in healthcare. In autoimmune conditions, a common clinical practice includes trial-and-error approaches to determine the right therapy for a patient. At Scipher Medicine, we are developing an innovative portfolio of personalized medicine solutions in complex diseases. Scipher's platform identifies and guides physicians towards a more targeted approach to determine the best treatment for their patients, based on their patient's own fundamental disease biology. We have a growing pipeline of products that are currently being developed and the potential to predict which therapies patients will respond to, ensuring optimal treatment is prescribed from day one. This includes PrismRA, a precision medicine test that helps guide healthcare providers' treatment decisions in patients with rheumatoid arthritis. Pipeline indications span the autoimmune and immune-mediated diseases space. Learn more about Scipher at ********************************* Overview The Principal/Senior Data Scientist will lead technical efforts to develop AI/machine learning based pipelines and apply state-of-the-art computational and statistical methods to deliver testable hypotheses and biological insights in Personalized Medicine. What will I do? Lead the development of AI and machine learning based models to offering tools for precision diagnostics, drug discovery, and personalized medicine, by analyzing complex biological multi-omics data and predicting treatment outcomes Contribute to the development of companies' platform and biomarker discovery in collaboration with the research team Build cloud computing infrastructure to facilitate high throughput hypothesis testing in collaboration with other R&D scientists Summarize and communicate results to project teams, provide intellectual input, and contribute to decision-making. Present the company's scientific results internally and at leading industry conferences. Contribute to high-quality documents and scientific publications Deliver each project within agreed upon timelines Maintain knowledge in latest scientific and technology advancements in the field of Systems Biology and Machine Learning Minimum Education and Qualifications PhD in Computer Science, Mathematics science, Machine Learning, Data Science, Statistics, Bioinformatics or relevant fields 5 plus years of experience in machine learning, computational biology, bioinformatics, systems biology Experience in common statistical and machine learning methods Skilled in implementing machine learning and statistical analysis to high dimension data. Proficiency in coding (R and python are preferable) Familiar with bioinformatics and hands on experience analyzing genomic data, gene expression patterns, and understand genetic networks Experienced in network science approaches and multi-omics data computing is a plus Ability to establish and maintain effective working relationships with coworkers, managers, and clients Strong communication skills, both written and verbal Passion in advancing frontiers of personalized medicine in complex diseases Scipher is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status or any other characteristic protected by law.

Onsite Role (Hybrid eligible) Towards Integrated workflows & Data collection • Work hands-on with R&B Scientists & technicians in specific sites to upgrade current data operations and practices to build impactful ways of working. • Work hands-on with R&B users to build automated data workflows where not available (new technologies) and trouble shoot workflows that are flawed or inefficient. • In association with data continuum and digital team ensure proper functioning of data collection process, integration, software and Internet applications. • Design, develop, and modify data infrastructure and templates to help scientist accelerate the processes of data analysis and reporting. • Organize appropriate data collection and raw data processing methods at various users/experimental read outs across R&B teams leading to harmonized data management and utilization. • Resolve data ingestion issues for benchling including legacy and current data. Deploy simplification and or data automation tools 1. Towards Data management & Continuum • Create and implement digital tracking, inventory management, and automated QC dashboard within Benchling. • Support R&B scientists to organize and ingest unstructured data. • Collaborate with Data Science to maintain data management plans for all critical data related to test articles at R&B - Dashboards, meta data etc. • Ensure scientists at R&B have visibility and access to dashboards and meta data • Assess system performance and make recommendations and updates for hardware, software, and data storage improvements. Knowledge & Skills : • Hands on basic IT environment and script programming for automated tools in data acquisition, integration, cleaning, and data management. • Experience of programing with C#, C++ or Python, SQL. • Thorough understanding of management and data administration duties such as collection, analysis, and distribution • In-depth understanding of modern database and information technologies and ability to organize large volumes of data • Ability to develop tools to interface with electronic lab notebook Benchling. • Ability to develop, evaluate, and implement workflows for technology, optimize and standardized existing techniques and workflows with respect to experimental HT mRNA generation process workflow including DNA & IVT-RNA production, and in vitro/in vivo screening is desired • Working knowledge of nucleic acids DNA/RNA analytical performance assessment tools: PCR, Cloning/plasmid generation and design, Quality control on DNA/RNA (capillary electrophoresis, UV quantification, Sanger sequencing, NGS...) is desired. • Past experience with Data mining, data base, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable. • Function in highly collaborative, cross functional team (EU/US) emphasize with networking. • Open to work and to share information across different groups, as well as identify key needs.

We are seeking a Data Scientist to drive innovation in time series forecasting and anomaly detection. This role will be part of a team working on cutting-edge machine learning models and cloud-based solutions to enhance predictive capabilities across the organization. Key Responsibilities: Develop and deploy advanced forecasting models to predict trends, identify anomalies, and optimize decision-making. Design and implement AI/ML algorithms, managing the full lifecycle from data preparation to production deployment. Leverage cloud technologies such as AWS, Snowflake, and Databricks to scale machine learning solutions efficiently. Mentor and guide team members, providing technical expertise and support to drive best practices in AI/ML development. Collaborate with cross-functional teams, including data engineers and business stakeholders, to align AI/ML initiatives with company goals.

MojoTech, established in 2008, is an innovative digital consulting company that integrates strategy, design, and engineering to create results-driven digital products and experiences for clients nationwide. What we do: We partner with our clients to discover, define, design, and build tomorrow's innovations, empowering every company to unlock future market potential, maximize returns on innovation, and drive transformational change. We work with a diverse client base, ranging from rapidly growing startups to established enterprises, helping them accelerate their pace of change and solve their biggest technology challenge Role Overview: As a Data & Analytics Engineer with MojoTech you will work with our clients to solve complex problems and to deliver high quality solutions as part of a team. Collaborating with product managers, designers, and clients, you will lead discussions to define data requirements and deliver actionable insights and data pipelines to support client analytics needs. Your experience and level of confidence in decision making and the quality of your work ensure commitment to MojoTech's engineering excellence. Things we're looking for: 3+ years of experience in Data Engineering or Data Warehousing Experience building and maintaining ETL/ELT pipelines, data warehouses, or real-time analytics systems BA/BS in Computer Science, Data Science, Engineering, or a related field or equivalent experience in data engineering or analytics Track record of developing and optimizing scalable data solutions and larger-scale data initiatives Strong understanding of best practices in data management, including sustainment, governance, and compliance with data quality and security standards Commitment to continuous learning and sharing knowledge with the team Should also be able to check off some of this: Exposure to big data technologies like Hadoop, Kafka, or Flink for handling large-scale data processing. Experience with data visualization tools such as Tableau, Power BI, or Looker to communicate insights effectively. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) or statistical analysis for predictive analytics. Familiarity with containerization and orchestration tools like Docker and Kubernetes in a data engineering context. Understanding of DevOps practices, including CI/CD pipelines and version control systems (e.g., Git). Previous work with real-time data streaming or event-driven architectures. Comfort collaborating with cross-functional teams, including data scientists, analysts, and software engineers. Experience one or more of the following: Palantir, Databricks, Snowflake, Apache Spark, Airflow, AWS Redshift, AWS Glue, Google BigQuery, Google Dataflow, PowerBI, etc... Exposure to leadership or mentorship roles, particularly on a development team Experience working in an agency, as a software consultant, or tailoring solutions to match client requirements and capability Strong communication skills to articulate technical concepts to technical and non-technical stakeholders Experience mentoring team members or leading small projects is a plus Located in RI, MA, CT, NY, NJ, NC, SC, FL, CO, CA, UT, OR, PA, TN, OH Benefits: Base salary $90-150k, determined by experience, skills, and location Performance based end of year bonus Medical, Dental, FSA 401k with 4% match Trust-based time off Catered lunches when in office 5 hours per week dedicated to self-directed learning, innovation projects, or skill development Dog Friendly Offices Remote or in office (offices in Boulder, CO and Providence, RI) Paid conference attendance/yearly education stipend Custom workstation 6 weeks parental leave

The Role The Data Modeler works closely with business and technical teams to drive the creation of scalable, flexible, well governed, and detailed data design solutions. They drive adoption of enterprise and industry standard modeling methodologies. They partner with project teams to deliver practical & resilient data model designs that meet current business needs and are capable of easily adapting to new needs in the future. The Expertise and Skills You Bring Requirements and Analysis Engage with business and technology partners to understand the business requirements, analyze the data gaps, and recommend appropriate solutions. Assess objectives, use cases, data requirements and specifications documents created by other analysts. Analyze and resolve major data issues that arise during the course of projects or in production environments. Data Design Define conceptual and logical data models, with strong definitions, to capture organizational data needs across multiple subject areas. Build physical design for various types of systems such as operational systems, data warehouses, data lakes and others. Actively perform dedicated and targeted data analysis to identify risks for management. Strong coordination with key business partners will be required to obtain data sets and confirm results of the analysis. Document database solutions and present solutions to product partners, project teams, Data Engineering team and architecture review boards. Passionate about technology and delivering solutions in integrated data environments. Current on event driven processing, and Data API developments. Lead and facilitate work sessions with business functions and projects to define requirements, business term definitions and logical data models Map Technical terms to Business terms in data catalog tool. Technical Leadership Provide strategy, data modeling with accountability on work initiative engagements and timeline. Align and ensure consistency to enterprise standards on technology, tools, and procedures. Knowledge of and experience with tools, techniques and processes for complex data gathering, analysis and reporting on data for large organizations. Find opportunities to use enterprise data models for new projects to minimize work and data duplication Strong interest in playing a technical data steward role and partnering across our business to understand and document our data, appropriate data usages and helping Asset Mgmt. derive the maximum value from its data. Qualifications Education and Experience (dependent on level) A Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent experience 10+ years' experience with data design, analysis, and development. Development experience weighted towards PL/SQL and ETL tools. Demonstrated experience in the following areas : Database Management Systems, Data API design and implementation, PL/SQL, warehouses, data modeling and data profiling. Skills and Knowledge Demonstrable experience with SAP Power Designer or similar data modeling tool required. Advanced analytical and problem solving skills. Advanced understanding of the database development process including analysis, design, coding, testing, problem resolution and planning, and full competency in all relevant coding environments, languages, tools, and platforms Outstanding interpersonal skills and strong verbal and written skills to effectively communicate with technical and non-technical associates in the company Proven interpersonal skills, including the ability to work across the organization and interact/influence/negotiate optimally at all levels of management and peers. Experience in working in data management / governance with an understanding on how data is ingested, stored, and maintained. Understanding of principles and standard methodologies around Data Architecture Ability to prioritize data analysis initiatives based on business criticality. Experience in the financial services industry area a plus Knowledge in cryptocurrency area a plus. The Team Asset Management Technology is seeking a Principal level candidate in the data analysis and data modeling organization. The successful candidate will be responsible for leading data modeling and analysis across different projects with diverse scope and complex business and technical requirements in a highly integrated data environment. This role requires working autonomously and under consultative direction for achieving organizational strategic data goals. This is a key role in leading the development of high-quality data model, working as part of a team that helps to deliver data as a key asset for the enterprise. You must be comfortable working in a fast paced and highly ambiguous agile environment where there is a focus on timely delivery of data analysis, data models and other data artifacts. Company Overview Fidelity TalentSource is the in-house temporary staffing provider for Fidelity Investments, one of the largest and most diversified global financial services firms in the industry. We welcome individuals from all backgrounds, including technology and customer service, to fill assignments across Fidelity's U.S.-based regional and investor center locations. If you would like to experience Fidelity's supportive and collaborative culture while expanding your skill set and developing your professional network, consider a role with Fidelity TalentSource. Apply today at FTSJobs.com. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging. Fidelity TalentSource will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, please contact our HR team at ***************. Information about Fidelity investments At Fidelity Investments, our customers are at the heart of everything we do. As a privately held company with a rich 75-year history, our mission has remained the same since our founding: to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money. For information about working at Fidelity, visit FidelityCareers.com. Fidelity TalentSource's working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks). Fidelity Investments and Fidelity TalentSource are equal opportunity employers.

The Expertise and Skills You Bring · Bachelor's or Masters in Computer Science, Computer Engineering, Software Engineering, or equivalent is required. · 8+ years of experience in the domain of data engineering · Deep expertise in Oracle PL/SQL (complex queries, stored procedures, performance tuning, and materialized views) · Recent experience using ETL tools (Informatica preferred) · Demonstrable experience testing PL/SQL stored procedures, ETL jobs, and other data transformations. · Experience writing database change management (CI/CD) using Liquibase or similar tools. · Experience using Python as part of ETL or data analysis is very helpful · Experience with Agile software development processes and practices like code review, automated testing, and CI/CD Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Title: Data Engineer Lead Reports to: VP of Data Analytics Job Type: Remote or hybrid (We're built to work from anywhere) (we do not offer C2C or C2H positions) Status: Full-Time About At Prendio-BioProcure, we are dedicated to helping scientists and biotech researchers develop novel therapies and cure diseases as quickly and cost-effectively as possible. Our software enables scientists to find, select, order, and obtain the products and services they need to support their research, highly efficiently and at lower cost. Our services allow biotech companies to leverage best-in-class procurement and accounts payable teams in a turn-key fashion, benefiting from decades of experience and expertise. As a result, biotechs can focus on science and improve their opportunity to bring therapies to market. We are building a company of driven team players who are intellectually curious, eager to learn and pursue growth, and have the stamina to make an impact in our fast-paced environment. We value high-performance teams that are built around the following competencies: Innovative: We believe that rethinking the status quo is imperative and that new ideas can and should come from everyone on the team. Collaborative: Every interaction, whether with a client or a colleague, should be impactful, and respectful and leave them excited to deal with you again. Execution-Oriented and Accountable: The kind of change that is necessary will not come without breaking a few eggs, so we have the courage to be adventurous and try new things, but we also admit when something is not working, own it and do it better the next time. Job Summary Prendio is seeking a dynamic and highly skilled Data Engineer Lead to become the technical owner of our data platform. In this pivotal role, you will manage the infrastructure and tools that power our data-driven decision-making, ensuring exceptional access, uptime, and performance. If you thrive in a fast-paced, high-performance culture and excel in navigating complex challenges with adaptability, resilience, and a passion for learning, this role is designed for you. Prendio's high-growth environment rewards those who are eager to push boundaries and embrace innovation. While the expectations are high, the opportunities for impact and professional growth are unparalleled for the right candidate. Role & Responsibilities Develop data integrations and robust data pipelines to support BI reporting, advanced analytics, and AI/ML initiatives. Design and document data models, data flows, and data architectures that are scalable and future-proof. Mentor and guide junior data engineers, fostering a culture of collaboration, innovation, and continuous learning. Partner with product managers, software engineers, data scientists, and analysts to scope and implement technical solutions that address complex business challenges. Requirements and skills Proven expertise in developing and managing data warehouses and related technologies; experience with Snowflake is a significant plus. Hands-on experience in designing and maintaining ETL/ELT pipelines and data integrations. Proficiency in Pythonand SQL, with a strong foundation in data engineering best practices. Experience with dbt(a plus) and operating within an AWS environment (preferred). A demonstrated track record of delivering complex analytical use cases that drive business value. Familiarity with AI/ML use cases is advantageous. Exceptional adaptability, problem Benefits: Blue Cross Blue Shield Health Insurance - 100% of employee premiums paid BCBS Dental insurance - 100% of employee premiums paid VSP Vision Coverage Flexible Spending Account Healthcare Health savings account with employer contribution 401K/Roth 401k Paid holidays Paid vacation/Unlimited PTO Other benefits, including a complimentary subscription to the Calm app, pet insurance, legal assistance and more Website - ******************** Advancement within BioProcure/Prendio is based on manager discretion and other company considerations. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change.

Key Responsibilities: Design and implement robust computational and statistical methods to analyze large scale proteomics and metabolomics datasets. Develop automated data processing pipelines in collaboration with our cloud infrastructure team. Establish tools for the analysis, visualization, and reporting data in collaboration with scientists and other stakeholders. Collaborate closely with our chemoproteomics, synthetic biology, and metabolomics teams to identify and build enabling solutions. Integrate in-house datasets with public resources (GNPS, BioPlex, DepMap, etc.) to better understand disease biology and drive drug discovery programs. Qualifications: Ph.D. with 1+ years or M.S. with 3+ years of relevant data science and software development experience High level of proficiency in programming languages such as Python and/or R. Experience working with biological and mass spectrometry data types including chemoproteomics, proteomics, metabolomics, and natural product structures Experience applying statistical and machine learning methods Extremely collaborative, innovative, and driven to add value to diverse projects

W2 Only role. Data Engineer (Must have Databricks) Need Mid level (3-5Yrs) Key Skill: Strong Databricks, AWS, Apache Spark, SQL, Scala/Python, Hadoop Skill Sets Required Good decision-making and problem solving skills Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering and SQL warehouse). Solid Knowledge on medallion architecture, DLT and unity catalog within Databricks. Experience in migrating data from on-prem Hadoop to Databricks/AWS Understanding of core AWS services, uses, and AWS architecture best practices Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc. Solid knowledge on Airflow Solid knowledge on CI/CD pipeline in AWS technologies Application migration of RDBMS, java/python applications, model code, Opensearch etc. Solid programming background on scala and/or python with Spark Experience with Docker and Kubernetes is a plus

______________________________________________ONLY W2 ________________________________________________ Data Engineer - ONLY W2 Long Term Project Client: Direct The Expertise and Skills You Bring Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of experience. Advanced SQL/PLSQL knowledge. 2+ years of Python development. Experience with Unix scripting and scheduling tools. Good experience in working with AWS or similar Cloud Technologies. Strong data modeling skills doing either Dimensional or Data Vault models. Proven data analysis skills. Experience working with snowflake database is a plus. Hands-on experience on SQL query optimization and tuning to improve performance is desirable. Hands-on experience with ETL tool like Informatica is a desirable Working experience with some or all the following: AWS, Containerization, associated build, and deployment CI/CD pipelines. Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Stash, Concourse, Artifactory). Experience in Agile methodologies (Kanban and SCRUM) is a plus. Proven track record to handle ambiguity and work in fast paced environment. Good interpersonal skills to work with multiple teams in the organization.

⏳ Duration: 6+ Months Contract Requirements: PhD in Structural Biology, Bioinformatics, Biochemistry, or related field + 3+ years of biotech/pharma experience. Expertise in Rosetta, AlphaFold, ESMFold, RFdiffusion, ProteinMPNN. Strong ML background (RNNs, GNNs, Transformers, NLP, Generative AI). Experience with GROMACS, AmberTools, AutoDock for molecular dynamics and docking. Proficiency in Python, R, SQL, PyTorch, TensorFlow, JAX, scikit-learn. Experience with cloud computing, APIs, and large-scale data systems. Strong communication and teamwork skills. Responsibilities: Develop ML-based protein design models for structure, function, and dynamics analysis. Design targeting ligands/delivery vectors (AAVs, peptides, antibodies) for RNA and gene therapies. Build predictive models for exon skipping and genetic mutation effects. Support pre-clinical/clinical research using structural biology methods. Enhance in-house protein structure prediction tools.

Snowflake Developer will be proficient with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star Snowflake schemas and structures for data lakes, data science and data warehouses using Snowflake. Responsibilities will also include technical delivery review, resolution of architecture issues and for the migration of the existing on-premises application to AWS/Azure Snowflake platform. Must have Skill: Snowflake development Oracle SQL and PL/SQL Python scripting AWS batch Overview: Data is moving from Snowflake to another area of Snowflake where it's then consumed and used. One minor application is moving data to Oracle (so Oracle is needed too)

Northreach is a dynamic recruitment agency that connects businesses with top talent in the cell & gene therapy, fintech, and digital sectors. Our mission is to provide a seamless and personalised recruitment experience for clients and candidates, and to create a positive work environment that encourages equality, innovation, and professional growth. We have partnered with a fully integrated, commercial-stage biopharmaceutical company dedicated to the acquisition, development, and commercialization of innovative treatments for B-cell diseases. Alongside a robust research pipeline featuring multiple investigational medicines, we have received approvals from both the US FDA and the EU EMA for a product that treats multiple sclerosis. Position Overview We are looking for a highly motivated and experienced Senior Scientific Data Analyst to help shape and expand our Analytical Data Science team. In this role, you will be instrumental in developing best practices for data intake, analysis, and visualization while driving innovation in data-driven decision-making. The ideal candidate will have a strong scientific background in biopharmaceutical assays, advanced expertise in data science and visualization, and a proven track record of building robust analytical data workflows from intake to insight Technical and Scientific Expertise Contribute to the development and strategic direction of the Analytical Data Science team by shaping its vision, priorities, and roadmap. Establish and implement best practices for data intake, analysis, visualization, and insight generation to support informed business decisions. Collaborate with cross-functional teams to promote robust, data-driven decision-making across the organization. Design and develop scalable infrastructure, pipelines, and workflows for analytical data management, automation, and visualization, tailored to the company's stage of growth. Provide mentorship and technical guidance to team members, fostering a positive and collaborative work environment. Ph.D. in Analytical Chemistry, Biochemistry, or a related field. Strong analytical and writing skills including proficiency in Excel are required. Expertise in analytical assays used for mAbs. Expertise in statistical analysis, multivariate analysis, and data visualization. Expertise in creation of robust data pipelines. Proven experience leading scientific data initiatives, setting up workflows, and implementing computational tools. Hands-on experience with data visualization tools for scientific applications. Strong problem-solving, communication, and collaboration skills. Track record of collaborating with cross-functional scientific teams and influencing data-driven decision-making. Previous experience building and leading a scientific data team in a biopharmaceutical company. Experience with GMP/GxP-regulated environments and regulatory submission requirements. Strong understanding of mAb developability, stability assessments, and CQAs (Critical Quality Attributes). If you are looking for a new opportunity that will give you the a chance to shape and lead a new Analytical Data science function, drive innovation in a fast-paced environment then this is the role for you. I look forward to seeing you applications and can't wait to discuss the role with you in more detail.

What Working at Hexaware Offers: Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed. Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profiles. We complete the circle with excellent growth opportunities, chances to collaborate with high-profile customers, opportunities to work alongside brilliant minds, and the perfect work-life balance. With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is the people and their passion that fuel Hexaware's commitment to creating smiles. “At Hexaware, we encourage individuals to challenge themselves to achieve their full potential and propel growth. We trust and empower them to disrupt the status quo and innovate for a better future. We promote an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together. We are always interested in, and want to support, both the professional and personal aspects of our employees. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion, the driving force that makes one smile, innovate, create, and make a difference every day. The Hexaware Advantage: Your Workplace Benefits Excellent health benefits with low-cost employee premiums. A wide range of voluntary benefits such as legal, identity theft, and critical care coverage. Unlimited training and upskilling opportunities through Udemy and Hexavarsity. Role - Blockchain Data Engineer (AWS, Ethereum) Location: Boston Job Mode - Hybrid Note : We are seeking a Blockchain Data Engineer with expertise in Ethereum and AWS to design and develop scalable blockchain data solutions. Key Responsibilities & Requirements: • Develop data pipelines to process and analyze Ethereum blockchain data (on-chain & off-chain). • Work with Ethereum node APIs, smart contracts, and transaction data for real-time and batch processing. • Leverage AWS services (S3, Glue, Redshift, DynamoDB, Lambda) to build scalable infrastructure. • Optimize data storage, indexing, and retrieval for blockchain analytics. • Proficiency in SQL, Python, Spark, and Kafka for data engineering. • Strong understanding of Web3, DeFi protocols, and smart contract interactions. • Implement event-driven architectures for blockchain data • Ensure data security, governance, and compliance best practices. • Experience with decentralized applications (dApps) and Layer 2 solutions is a plus. • Passion for blockchain technology and solving complex data challenges. Benefits offered by Hexaware: Competitive Salary Job Description: Company Pension Scheme Comprehensive Health Insurance Flexible Work Hours and Hybrid Work Options Paid annual holidays + public holidays. Professional Development and Training Opportunities Employee Assistance Program (EAP) Diversity, Equity, and Inclusion Initiatives Company Events and Team-Building Activities Equal Opportunities Employer: Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.

The Data Scientist is a pivotal role within our Data Science and Machine Learning team, driving the development of data-driven products and services. You will create and deploy efficient, scalable machine learning models while ensuring robust and optimized supporting infrastructure. Operate at the intersection of data science, machine learning, and MLOps - designing cloud-native platforms, automating model deployment pipelines, and creating monitoring and alerting tools. Your expertise in developing advanced models and maintaining production deployments will ensure reliable, high-performing machine learning solutions. This position is based in our Waltham, MA office. We offer a flexible work environment. This means working up to 2 days a week remotely and the rest of the time in the office. For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner's integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in the energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work. We're excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We're looking for passionate people with great ideas to contribute to our company's future. If you're motivated by what's next, Global Partners can provide you the opportunities to push your career to the next level. The Types of "Energy" You Bring * Excellent written and verbal communication skills * You are self-motivated and like to take initiative * You are a team player with a positive attitude * You have strong time management skills "Gauges" of Responsibility * Develop and deploy scalable machine learning models using statistical, machine learning, and deep learning methods, including advanced time series models, to extract insights into product features, user behavior, and business metrics. * Build and maintain cloud-native MLOps platforms, automating end-to-end pipelines for data ingestion, model training, deployment, and monitoring on platforms like AWS and Snowflake. * Collaborate with data engineers and cross-functional teams to design data pipelines, translate business needs into data science solutions, and present insights to shape product strategy. * Optimize models for performance, scalability, and reliability, ensuring data quality, integrity, and governance throughout the lifecycle, while fostering a data-driven culture and continuous learning environment. Fuel" for You * Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development. * Health + Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support. * The Road Ahead - We offer 401k and a match component! * Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service. * Give Back! We believe in community support. We know everyone gives in their own way, that's why we offer paid volunteer time off to you to help an organization of your choice. The GPS of our Interview Process * First thing first, if you're interested in the role, please apply. * A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact, you. * We conduct in-person and virtual interviews. Qualifications * Bachelor's or master's degree in data science, Computer Science, Machine Learning, or a related field, with 3+ years of experience in developing and deploying machine learning models in production environments. * Proven track record of implementing end-to-end machine learning solutions, including data collection, preprocessing, model deployment, and monitoring, using Python, SQL, and libraries like Pandas, NumPy, TensorFlow, PyTorch, and Scikit-Learn. * Strong understanding of cloud platforms (e.g., AWS), including experience with services like S3, Lambda, SageMaker, and orchestration tools such as Kubernetes, Airflow, or Dagster. * Hands-on experience with MLOps practices, including containerization (Docker), CI/CD pipelines, infrastructure as code (IaC) tools like Terraform or AWS CDK, and building scalable feature stores and data pipelines. * Familiarity with time series forecasting methods, including statistical and deep learning models like ARIMA, LSTM, and Transformers. * Knowledge of natural language processing (NLP), Retrieval-Augmented Generation (RAG) systems, and generative AI models for building advanced AI solutions. * Strong analytical and problem-solving skills, with the ability to translate complex business challenges into data-driven solutions and effectively communicate findings to non-technical stakeholders. * Knowledge of data governance, security best practices, and regulatory compliance for machine learning workflows, with experience in data warehousing solutions like Snowflake. * A proactive, self-motivated attitude, with a passion for continuous learning, adaptability in a fast-paced environment, and a drive to stay updated with the latest trends in AI and MLOps. We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences. Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at ************. * Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back. **Role Summary** We're seeking a Senior Product Data Scientist to join Splunk's PX Data Strategy team. In this strategic and hands-on role, you will spearhead advanced analytics initiatives and play a crucial part in refining our data and measurement strategy. With your expertise in forecasting, modeling, regression, and clickstream analysis, you will transform complex data sets into actionable insights that drive data-driven decisions, enhance product performance, and elevate customer experiences. **What You'll Get To Do** + Lead Advanced Analytics Initiatives: Conduct clickstream analysis, forecasting, and predictive modeling to gain insights into user behavior and optimize user journeys. Utilize inferential statistics, including regression analysis, to drive strategic improvements in product performance. + Develop and Optimize Feedback Mechanisms: Create and refine in-app feedback systems using exploratory analysis and A/B testing to enhance data quality and engagement across all user segments. + Integrate and Analyze Data: Combine telemetry data with user feedback metrics to provide a comprehensive view of product performance and user sentiment. Use inferential statistics to identify patterns and drive data-driven decision-making. + Drive Data-Driven Decision-Making: Leverage insights from telemetry and user feedback to inform product teams, facilitating strategic decisions that enhance user experience and align with business objectives. Apply statistical models to predict future trends and outcomes. + Collaborate and Engage with Stakeholders: Work with cross-functional teams to ensure alignment on measurement objectives and strategies. Use data-driven insights to guide product planning and execution, fostering a culture of collaboration and innovation. **Must-have Qualifications** + 8+ years of experience with a Bachelor's degree in Data Science, Statistics, Mathematics, or a related field, or equivalent applied experience. + Proven expertise in advanced analytics, including forecasting, modeling, regression analysis, and clickstream analysis, to extract actionable insights from complex data sets. + Strong skills in statistical analysis, data interpretation, and experimental design, with a particular focus on applying inferential statistics to solve business challenges. + Demonstrated ability to collaborate effectively with cross-functional teams, driving data-driven decisions that enhance product strategy and performance. + Experience in synthesizing telemetry data with qualitative and quantitative insights, enabling comprehensive analysis that informs strategic decision-making. + Proven track record in developing scalable data solutions across various product lines and user segments, ensuring data-driven strategies align with overarching business objectives. Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off, and much more! Learn more about our comprehensive benefits and well-being offering here. **Splunk is an Equal Opportunity Employer** Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Note: **Base Pay Range** SF Bay Area, Seattle Metro, and New York City Metro Area Base Pay Range: $159,200.00 - 218,900.00 per year California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts Base Pay Range: $143,280.00 - 197,010.00 per year All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area. Base Pay Range: $127,360.00 - 175,120.00 per year Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. **In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.** Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at ************************** .

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior Data Scientist, you'll lead development of technology at the core of the business. You'll create, improve, and maintain algorithms that uncover meaningful insights using WHOOP data, including wearable metrics, survey responses, and ground-truth data. As part of our production data science team, you'll work with MLOps engineers to create and maintain robust services to host the insights services. You'll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to surface novel insights.RESPONSIBILITIES: Build statistical models using techniques such as causal modeling and mediation analysis to provide members with insights about how their behavior affects their WHOOP metrics Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation Work with MLOps Engineers to build robust, scalable, and efficient machine learning pipelines for deployment and continuous improvement Conduct research on the use of wearable sensors to analyze primary and secondary end-points derived from metrics and the implications of this analysis on overall health of the user Design data collection studies to improve inference of health insights and demonstrate the efficacy of WHOOP coaching in improving member health Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services QUALIFICATIONS: Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field (Master's preferred) 5+ years of full-time professional experience in a related area 5+ years experience applying advanced machine learning and statistical techniques Significant experience working with time series data, causal modeling, probabilistic methods Proficiency in scientific Python and SQL Experience deploying services and maintaining live code through logging and monitoring within a production environment Excellent verbal and written communication skills Preferred Qualifications: Experience in software engineering, including the development, deployment, and maintenance of production-quality software. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud - the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW eClinical Solutions is expanding our Data Science team and we are seeking a highly skilled, creative, and driven Principal Data Scientist to design and build breakthrough approaches and solutions for our clients using clinical trial data. As a Principal Data Scientist, you will be working in our Engineering team to deliver data-driven solutions for various aspects of our elluminate platform. You will work on projects that enhance the experience and efficiency of elluminate users by utilizing machine learning techniques. KEY TASKS & RESPONSIBILITIES Education/Language:  Bachelor's degree in computer science, Engineering, Math, Physics, or equivalent work experience preferred  Excellent knowledge of English Core Requirements  Strong primary expertise as data scientist, with the ability to stretch beyond one's core field of expertise. Successful candidates share the following requirements:  High-level knowledge of various machine learning techniques and key parameters that affect their performance  Ability to develop experimental and analytic plans for data modeling process  Use of strong baselines, ability to accurately determine cause and effect relations  Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.  5+ years of experience building secure, concurrent, distributed applications  Experience in Computer Vision and Deep Learning (e.g., TensorFlow, Keras, Caffe, Torch, CNTK, MXNet)  Proficient in SQL, and NoSQL databases (e.g., MongoDB, Cassandra, Redis, MySQL, PostgreSQL)  Proficient in data science, analytics, or big data solutions (Hadoop, Spark, AWS, Python, etc)  Strong Software Development Lifecycle experience (Agile methodology (Sprint) experience is a plus)  Proven ability to work independently and with technical team members  Excellent verbal and written communication skills Preferred Qualifications  Master's or Ph.D in related discipline  Expert in deep learning, distributed systems, and working with 'big' image data  Experience with general software release cycles / shipping machine learning or predictive analytics models at scale  Strong troubleshooting skills and use of defect/feature management systems Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours! eClinical is a winner of the 2023 Top Workplaces USA national award! We have also received numerous Culture Excellence Awards celebrating our exceptional company vision, values, and employee experience. See all the details here: ****************************************************** eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here! We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.