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Volunteer Data Science Jobs in Boston, MA (NOW HIRING)

Moderna Therapeutics

Data Scientist

Cambridge, MA · On-site

$122 - $195/hr

Utilize data science and software engineering best practices in day-to-day work, including ... Competitive healthcare, plus voluntary benefit programs to support your unique needs * A holistic ...

Moderna, Inc.

Data Scientist

Cambridge, MA · On-site

$121K - $194K/yr

Utilize data science and software engineering best practices in day-to-day work, including ... Competitive healthcare, plus voluntary benefit programs to support your unique needs * A holistic ...

RXinsider LTD.

Data Scientist

Cambridge, MA · On-site

$122 - $195/hr

Utilize data science and software engineering best practices in day-to-day work, including ... Competitive healthcare, plus voluntary benefit programs to support your unique needs * A holistic ...

Moderna Therapeutics

Data Scientist

Cambridge, MA · On-site +1

$121K - $194K/yr

D.in Computer Science, Biological Engineering, Computational Biology,Biostatistics,Applied ... Competitive healthcare, plus voluntary benefit programs to support your unique needs * A holistic ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific ... As an employee of MIT, you can also take advantage ofother voluntary benefits, discounts and perks.

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific ... As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific ... As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

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Infographic showing various Volunteer Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Principal Scientist, Data Science (Data Products, Integration & Analysis)

Scorpion Therapeutics

Cambridge, MA • On-site

$180 - $240/hr

Other

PTO

Posted 4 days ago

Job description

Position Summary
  • Lead design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.
  • Create scalable, interoperable, AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence; enable validated-biomarker data assets.
  • Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI.
  • Partner with scientific stakeholders, knowledge architects, AI engineers, and platform teams to define the future-state scientific data ecosystem and deliver high-quality products.
Mission
  • Build and operationalize AI-ready scientific data products for seamless integration, harmonization, and reuse across the drug discovery/development lifecycle.
Key Responsibilities
  • Define and execute data product strategy across discovery, translational science, preclinical safety, clinical development, pharmacovigilance, and real-world evidence.
  • Design data integration/harmonization (SEND, SDTM, ADaM, MedDRA, imaging, omics, biomarkers, pathology, real-world data).
  • Lead AWS deployment strategy; deliver scalable pipelines/products; ensure security/governance/AI-readiness alignment.
  • Develop curated datasets, semantic-ready products, feature stores, metadata products, scientific data services, and AI-ready assets.
  • Define metadata standards and quality frameworks; implement lineage/provenance/traceability and FAIR principles; monitor quality controls.
  • Build predictive AI/ML models for translational safety decision making.
Required Qualifications
  • Master's or PhD in CS, Data Engineering, Bioinformatics, Biomedical Informatics, Information Systems, Computational Biology, or related discipline.
  • 5+ years experience in scientific data engineering/architecture/products or life sciences informatics; enterprise-scale product delivery.
  • Experience in drug discovery/development/clinical research/pharmacovigilance and building predictive models in these domains.
Technical Expertise
  • Data architecture, modeling, product design, cloud-native platforms, metadata management, data governance, predictive model development.
  • AWS platforms; data lakes/lakehouses; distributed processing; APIs/data services; data cataloging/lineage solutions.
  • Familiarity with SEND/SDTM/ADaM/MedDRA.
Preferred Qualifications/Skills
  • Knowledge graphs/semantic architectures/GraphRAG; AI-ready products and feature stores; ontology-driven integration; experience with cloud/external platform teams; regulated scientific environments.
  • Preferred familiarity: FHIR, OMOP, DICOM, biomarker/omics standards.
  • Preferred skills: Advanced Analytics, Critical Thinking, Data Analysis, Data Quality, Data Science, Data Visualization, Digital Fluency, Process Improvements, Strategic Thinking, Workflow Analysis.
Benefits (time off)
  • Vacation: 120 hours/year; Sick: 40 hours/year (CO 48; WA 56); Holiday incl. Floating Holidays: 13 days/year; Work/Personal/Family Time: up to 40 hours/year; Parental Leave: 480 hours; Bereavement: 240 hours (immediate)/40 hours extended family; Caregiver Leave: 80 hours (52-week rolling period); Volunteer Leave: 32 hours/year; Military Spouse Time-Off: 80 hours/year.
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