Data Scientist Salary in Boston

Data science in Boston occupies an extraordinary niche in the national market: the city's unmatched concentration of biotech and pharmaceutical companies, academic medical centers, and research institutions creates demand for data scientists who can work at the frontier of clinical analytics, genomics, and real-world evidence generation—work that is both intellectually demanding and extremely well-compensated. The median data scientist salary here reflects Boston's 145 cost-of-living index and the premium that life sciences employers (Biogen, Moderna, Vertex, Takeda, Alnylam) pay for data scientists who can navigate FDA regulatory frameworks, clinical trial data pipelines, and survival analysis models that inform drug development decisions. The academic-to-industry pipeline is uniquely powerful in Boston: Harvard Medical School, MIT's CSAIL, and Dana-Farber's bioinformatics groups produce PhDs who transition into industry with immediate technical credibility, raising the talent bar and establishing high compensation expectations. R&D-heavy roles at pharma companies often compensate above standard tech data science rates, particularly for specialists in Bayesian statistics, biostatistics, or computational biology. Beyond life sciences, Boston's SaaS ecosystem (HubSpot, Klaviyo, DraftKings) offers applied data science roles focused on marketing attribution, user behavior modeling, and experimentation at scale. Equity at Boston's growth-stage biotech startups can be substantial—particularly for scientists who join pre-Phase 2 trial companies. Negotiation angles: a publication record or clinical trial analytics experience adds 15–20% to offers in the life sciences segment. SQL, Python, R, and statistical modeling fluency are baseline; survival analysis and causal inference expertise differentiates meaningfully.