Associate Data Analyst Visa Sponsorship Jobs in Massachusetts
Associate data analyst visa sponsorship jobs in Massachusetts are concentrated in Greater Boston, where biotech firms like Biogen and Moderna, financial services companies, and university-affiliated research institutions actively hire analytical talent. Cambridge, Boston, and Waltham are the primary hiring corridors, with strong demand across healthcare data, fintech, and life sciences sectors.
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About Us…
Obsidian Therapeutics is pioneering engineered cell and gene therapies to deliver transformative outcomes for patients. Obsidian’s programs apply our cytoDRiVE® technology in Cell and Gene therapy products to control expression of proteins for enhanced therapeutic efficacy and safety. Obsidian’s lead program is currently in clinical development for the treatment of patients with metastatic melanoma and non-small cell lung cancer. We’re proud of our diverse talented team and committed to cultivating an environment of inclusion where each person feels a strong sense of belonging and is supported to continuously learn and contribute their best work. Our Research team is based in the heart of Cambridge, MA, and Technical Operations team is based in our purpose built facility in Bedford, MA. Obsidianites enjoy a highly collaborative culture, competitive salary and benefits, and potential for ownership through stock options.
Our Opportunity...
We are looking for a highly motivated, collaborative, sophisticated data scientist for our Associate Director of Process Data Analytics role, with strong CMC domain expertise and advanced statistical modeling experience. As a key contributor within our Process Development and MSAT team, this hands-on and strategic leader will define and deliver advanced analytics, statistical modeling, and fit for purpose data infrastructure for real time monitoring of cell and gene therapy manufacturing processes, helping to drive the late-stage development of our first clinical stage autologous cell therapy program targeting solid tumors. You’ll translate multi-dimensional process and product datasets into actionable insights that deepen understanding, inform CMC decision making, support regulatory submissions, and strengthen data driven execution. Partnering cross-functionally and with external partners, you’ll ensure data integrity and drive the compliant integration of AI/ML tools to accelerate manufacturing intelligence. As a member of our Process Development and MSAT team, you will be a vital part of a highly collaborative group working to unlock the promise of precision cell therapy for patients, starting with our lead program amsoki-cel (OBX-115), a novel engineered tumor-infiltrating lymphocyte (TIL) cell therapy that uses our proprietary cytoDRiVE® platform. This is a unique opportunity to be a valuable contributor in a well-funded clinical company with field-leading advisors, best-in-class partners, and an experienced team.
You Will...
Core responsibilities
- Deliver sophisticated statistical modeling, process monitoring, and visualization of datasets across manufacturing lines.
- Synthesize complex technical data for cross-functional governance and leadership forums, and partner with Process Development, Analytical Development, Quality Control, Quality Assurance, CMOs, CMC teams, executive leadership, to translate into operational and regulatory insights.
- Establish data infrastructure to seamlessly collect, clean, store, and analyze manufacturing and quality data across both paper and electronic sources including Electronic Batch Records (EBR), Manufacturing Execution Systems (MES), Laboratory Information Management Systems (LIMS), and Supervisory Control and Data Acquisition (SCADA), and related systems.
- Act as the primary business owner for technical databases, ensuring cross-functional alignment between Process Development, Quality Assurance, and Contract Manufacturing Organizations (CMOs).
- Build and manage interactive dashboards using platforms like Tableau, Power BI, or Spotfire to deliver real-time process monitoring to executive leadership and CMC team.
- Author and review CMC technical documentation, data trending summaries, process validation protocols, and other input to CMC regulatory sections for BLA/MAA submissions.
- Lead the establishment of the process monitoring program by applying statistical process control methodologies (SPC). Provide insights for establishment of in-process control ranges, and statistical justification for release attributes.
- Deploy advanced statistical methodologies to monitor process parameters (CPPs) and critical quality attributes (CQAs).
- Support PPQ readiness, process characterization, tech transfer, process monitoring, root-cause investigations, impact assessments for complex manufacturing deviations, atypical events, and out-of-trend data.
- Establish GMP Process Data Analytics Tool to enable Stage 3 of Process Validation (prior to BLA) and Analytical Product Review evaluations and reports.
- Support design of comparability statistical approach.
- Partner with CDMOs and CTLs, and lead a small, fit for purpose, high performing team of internal and external resources and SMEs.
You Bring...
Core Qualifications
- PhD or MS in Statistics, Biostatistics, Bioinformatics, Data Science, or a closely related quantitative discipline.
- 10+ years of progressive experience in biopharma, including 5+ in process data analytics supporting late-stage drug development and activities relevant to clinical or commercial manufacturing.
- Hands-on experience designing, building, validating, documenting, and deploying data infrastructure (including storage, pipelines, and relational data systems), analytical models, and data products in a manner appropriate for regulated or quality-sensitive environments.
- Experience generating and reviewing content for CMC regulatory submissions.
- Proficiency in Python, SQL, and SAS for statistical analysis, data visualization, process monitoring, and data-driven decision making.
- Expertise with statistical software including SIMCA (Soft Independent Modeling of Class Analogy), JMP, and Minitab.
- Strong knowledge of generative AI tools and modern data science frameworks (e.g., pandas, NumPy, scikit-learn, Power BI, and XGBoost) to support advanced analytics, predictive modeling, automated reporting, and data-driven decision-making.
- Strong written and verbal communication skills, including the ability to translate complex analyses into clear recommendations for program leaders and non-statistical stakeholders.
- Excellent planning organization and documentation skills, with the ability to manage multiple priorities while maintaining data integrity, traceability, and high-quality records.
- Proven ability to partner with internal SMEs (including Digital Systems & Technology), external vendors (CDMOs/CROs), and lead cross-functional technical teams.
- Flexibility and self-motivation, with the ability to adapt to shifting priorities and operate effectively with general direction in a fast-paced environment.
- Collaborative and accountable – recognizes success requires interdisciplinary thinking and teamwork; shares feedback and ideas, productively challenges own and others’ assumptions to facilitate better outcomes.
- Self-motivated, with a proven ability to work with general direction to meet objectives and timelines, managing multiple responsibilities in parallel.
- Flexible - adapts to change in a fast paced, rapidly developing environment.
- Curious and humble – seeks and welcomes input/expertise of others, continuous learner.
- Tenacious and resilient – is not easily overwhelmed by challenges, delivers on commitments.
- Operates with urgency, adept at building buy-in and driving alignment within and across teams, senior leadership, and external partners.
- Seeks the data, information, and support needed (internally and externally) to make efficient and informed decisions and meet objectives.
- Continuous learner – actively follows innovations in area of expertise, fosters innovative thinking, and adopts novel approaches that are fit for purpose.
- Reflective and self-aware.
Bonus Qualifications
- Exposure to cell therapy workflows (e.g., CAR-T, TCR, NK cells), live cell process dynamics, and biologic regulatory guidelines (ICH-GCP, FDA).
Obsidian is committed to equitable and transparent pay practices. The anticipated base salary range for this role is below. The actual base salary offered will be determined based on a combination of factors, including applicable qualifications, level of education, the depth of experience, unique skills, geographic location, internal equity, and/or business needs. The actual base salary offered will be in accordance with federal, state, and/or local wage requirements for the role’s location.
Our competitive compensation package includes an annual incentive bonus as a percentage of actual base salary and long-term incentives in the form of employee stock options, both of which are commensurate with the role’s level. We also offer a generous benefits package which includes comprehensive medical, dental, and vision coverage; company contributions to health savings and retirement accounts; ample paid time off; access to wellness programs; and rich career growth opportunities.
Anticipated Base Salary Range
$198,000—$242,000 USD
Obsidian is proud to be an equal opportunity employer, cultivating a welcoming and diverse environment. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other applicable legally protected characteristics.
Associate Data Analyst Job Roles in Massachusetts
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Search Associate Data Analyst Jobs in MassachusettsAssociate Data Analyst Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for associate data analysts in Massachusetts?
Boston-area employers with consistent sponsorship histories for data roles include Biogen, Moderna, Liberty Mutual, State Street, Fidelity Investments, and Mass General Brigham. Cambridge-based tech and biotech firms also file regularly. Sponsorship activity is concentrated among mid-to-large employers in life sciences, financial services, and healthcare, where data analysis roles carry clear degree requirements that support specialty occupation classifications.
Which visa types realistically fit associate data analyst roles in Massachusetts?
The H-1B visa is the most common path, classifying data analyst roles as specialty occupations requiring a bachelor's degree in statistics, computer science, mathematics, or a related field. H-1B1 visa applies to Chilean and Singaporean nationals. The E-3 visa covers Australian nationals in qualifying specialty occupations. F-1 students may work via OPT, and those with STEM-designated degrees can apply for a 24-month STEM OPT extension. EB-2 and EB-3 green card categories apply for longer-term sponsorship.
Which cities in Massachusetts have the most associate data analyst sponsorship jobs?
Boston and Cambridge account for the highest concentration of associate data analyst sponsorship activity, driven by major employers in biotech, healthcare, and finance. Waltham and Burlington host significant life sciences and technology office campuses. Worcester is an emerging secondary market with hospital systems and insurance companies hiring analytical talent. Most OFLC-certified positions for this role in Massachusetts trace back to the Greater Boston metro area.
How to find associate data analyst visa sponsorship jobs in Massachusetts?
Migrate Mate lists associate data analyst roles at Massachusetts employers with verified visa sponsorship history, searchable by location and role type. Filtering to the Greater Boston area surfaces active openings at biotech, financial services, and healthcare employers known to file for analytical positions. Migrate Mate's database focuses specifically on employers with documented sponsorship activity, which saves time compared to applying broadly and asking about sponsorship case by case.
What state-specific factors should associate data analysts consider when seeking sponsorship in Massachusetts?
Massachusetts has an unusually dense university ecosystem, including MIT, Harvard, Northeastern, and Boston University, which creates a strong F-1 OPT pipeline into local employers. Many Massachusetts biotech and healthcare employers have established internal immigration processes, making them more familiar with H-1B and STEM OPT procedures. Life sciences and fintech are the most active sponsoring sectors, and roles tied to regulated industries like healthcare data often require domain-specific degree alignment to support specialty occupation classification.
What is the prevailing wage for sponsored associate data analyst jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.