Lead Data Scientist - Healthcare
Tiger Analytics · United States · US
Clinical Data Science
Remote
Not yet analysed
Demand88
Career growth85
Healthcare fit55
Remote potential65
5-year outlook
Senior/lead healthcare data science roles are likely to remain well-compensated and in demand as AI adoption grows, though exact figures depend on location, firm, and total compensation structure.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
full-time
Date found
2026-10-03
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying only if you have strong data science/ML experience plus healthcare domain exposure; clinicians without a technical portfolio will likely be screened out.
Who should apply
Clinician-data scientists, physician-informaticists, clinical data scientists, or healthcare professionals with 8+ years in ML/data science roles.
CV angle
Frame clinical and healthcare experience as domain expertise for claims, patient, provider, and operational data; highlight forecasting, deep learning, GenAI/XAI, Python/SQL, cloud, and stakeholder leadership.
Skills to highlight
- Forecasting
- Time Series Analysis
- Deep Learning
- Generative AI
- Explainable AI
- Python
- SQL
- Healthcare Data Analytics
- Stakeholder Communication
- Technical Leadership
Role summary
Lead data science initiatives for healthcare clients, building forecasting and Generative AI/explainability models, analyzing healthcare datasets, mentoring junior scientists, and ensuring data privacy compliance.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.