← Back to jobs

Remote job

Senior Research Scientist

Data Scientist Full-time Permanent United States

Job details

$104,000 - $143,000 per year Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Design and conduct rigorous research to assess the clinical, utilization, and financial performance of healthcare programs using large, complex datasets. The role combines epidemiology, statistics, and causal inference with practical analysis of program outcomes, turning broad or uncertain questions into evidence that supports clinical, operational, and strategic decisions. Findings must be communicated clearly, with appropriate explanation of methods and limitations.

Responsibilities - Design and execute observational and experimental studies, including evaluations of clinical outcomes, service use, and financial performance. - Apply causal inference, epidemiologic, and statistical methods to estimate program impact and produce credible evidence. - Analyze medical and pharmacy claims, enrollment, and operational data to identify performance drivers, gaps, and opportunities. - Translate ambiguous business or clinical questions into defined hypotheses, analytical plans, and study designs. - Partner with clinical, operational, financial, and business teams to turn findings into recommendations for program design, strategy, contracting, and improvement. - Prepare reports, presentations, and executive readouts, explaining methods, implications, and analytical limitations to technical and nontechnical audiences. - Independently choose appropriate methods, manage competing priorities, and maintain rigor, accuracy, and reproducibility.

Requirements - Master’s degree or PhD in epidemiology, biostatistics, economics, statistics, health services research, clinical informatics, or a related quantitative field. - At least three years applying statistical, epidemiologic, econometric, or related methods to large datasets. - Strong grounding in causal inference and study design, including observational research, comparative effectiveness, and randomized trials. - At least three years working with large datasets using Python, PySpark, R, SAS, or comparable tools. - Strong analytical judgment and structured problem-solving skills, including the ability to frame ambiguous clinical or business questions for rigorous analysis. - Ability to select appropriate methods, communicate insights clearly, and connect research to operational and strategic objectives.

Benefits and work setup The position is remote, with occasional travel for training or meetings. A dedicated, interruption-free workspace is required to protect sensitive health information. The posting lists a base pay range of $104,000–$143,000 per year, an incentive plan, and benefits including health coverage, retirement savings, paid time off, parental and caregiver leave, disability coverage, and life insurance. Pay may vary by location and qualifications.

Skills detected in the listing

PythonStakeholder ManagementAzureMachine Learning
Detected Nov 6, 2026
Last verified Nov 12, 2026

Hidden Jobs Access

Unlock application links

Read the full job details for free. An active Hidden Jobs Access subscription is required to open the original application link.

Weekly

FREE $6.99/week after trial
  • Original application links
  • Full access to all MCP features
  • Cancel anytime

Monthly

$35.99 $17.99 /month
  • Original application links
  • Full access to all MCP features
  • 35% cheaper than weekly

Lifetime

$99.99 $49.99 /forever
  • Original application links
  • Full access to all MCP features
  • One-time payment
Hidden Jobs gives subscribers direct access to original application links
Offer ends in 00:00:00 Your profile-fit rate expires at midnight