Senior Data Scientist, Healthcare AI

Take a Seat Tech; Boston, Northern (MA, KY); Hybrid; USD 165,000 - 205,000; Full time

Benefits offered by this job

Equity

Full US benefits

Hybrid in Boston

Job summary

Take a Seat Tech in Boston is seeking a Senior Data Scientist to own analytical work shaping product predictions and confidence. You will lead modelling across clinical, claims and operational healthcare datasets, and mentor the team in rigorous standards.

The role blends clinical insight with advanced ML, requires Python or R, SQL, and strong experimentation tooling; hybrid in Boston with robust US benefits and equity.

Qualifications

• Deep statistical and machine learning grounding, with published or peer-reviewed rigour welcomed.
• Experience with healthcare data structures such as EHR extracts, claims or registry data is a strong advantage.
• Fluency in Python or R, SQL and modern experimentation tooling.
• Ability to explain analytical trade-offs to clinicians, executives and regulators.

Responsibilities

• Lead modelling work across clinical, claims and operational healthcare datasets.
• Design experiments and validation strategies that stand up to clinical and payer scrutiny.
• Translate ambiguous clinical questions into measurable modelling problems.
• Mentor mid-level data scientists and set analytical standards across the team.

Skills

Statistical & ML foundations

Explain analytical trade-offs

Tools

Python

R

SQL

Experimentation tooling

Job description

This is a senior data science role inside a Boston healthcare AI company, owning the analytical work that decides what the product predicts and how confidently it does so.

What you will do

• Lead modelling work across clinical, claims and operational healthcare datasets.
• Design experiments and validation strategies that stand up to clinical and payer scrutiny.
• Translate ambiguous clinical questions into measurable modelling problems.
• Mentor mid-level data scientists and set analytical standards across the team.

What we are looking for

• Deep statistical and machine learning grounding, with published or peer-reviewed rigour welcomed.
• Experience with healthcare data structures such as EHR extracts, claims or registry data is a strong advantage.
• Fluency in Python or R, SQL and modern experimentation tooling.
• Ability to explain analytical trade-offs to clinicians, executives and regulators.

Package

$165,000 to $205,000 base, plus equity and full US benefits. Hybrid in Boston.