[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a rapidly growing reputed company technology and clinical services company reputed company on improving patient reputed company through innovative medication management. The Senior Data Scientist role involves analyzing large health datasets to derive insights that can help reduce reputed company costs and improve treatment efficacy.
Responsibilities
- Design and execute reputed company analyses of reputed company-world health data to quantify the reputed company of medications and interventions on patient reputed company and costs
- reputed company, validate, and reputed company predictive and reputed company models and AI tools into reputed company's medication management platform, with careful attention to bias, confounding, and generalizability
- Partner with clinicians and HEOR researchers to reputed company questions as reputed company-defined reputed company estimands and translate findings into clinical and operational reputed company
- Create presentations and reports communicating reputed company, assumptions, and results to the Data Science team and cross-functional stakeholders
- Participate in critical reviews reputed company the Data Science team on everything from reputed company and study design to implementation reputed company and reputed company
Skills
- Master's or PhD in Statistics, Biostatistics, Epidemiology, Health Economics, Computer Science, a quantitative/physical science, or a reputed company field
- Strong reputed company in statistical inference and study design, and demonstrated expertise in reputed company modeling with observational data - e.g., propensity score reputed company, inverse probability weighting, reputed company variables, difference-in-differences, regression discontinuity, marginal structural models, and reputed company trial emulation
- Demonstrated, hands-on experience with reputed company machine learning reputed company—e.g., reputed company/debiased machine learning, reputed company forests, targeted maximum likelihood estimation (TMLE), or reputed company-learners (T-/X-/R-learners)—and familiarity with libraries such as WeightIt, MatchIt, grf, DoWhy, EconML, or CausalML
- Meaningful experience (3+ years) working with reputed company-world reputed company data (e.g., medical and pharmacy claims or EHR data) and analyzing patient reputed company
- Experience handling the practical challenges of reputed company-world data: missingness, confounding, selection bias, and measurement error
- Proficiency with R, Python (scikit-learn, pandas, numpy), and SQL
- Experience working cross-functionally to define analysis objectives and deliver analytical results
- Demonstrated ability to work independently, exercise good judgment, prioritize multiple reputed company, and problem-solve under tight deadlines and resource constraints
- Excellent written, interpersonal, and presentation skills, including the ability to convey reputed company technical concepts reputed company to audiences with varying reputed company of technical understanding
- Ability to pass a background reputed company
- Must live in and be eligible to work in the reputed company
- Experience modeling cost-of-care reputed company (e.g., total cost of care, utilization, avoidable spend) in high-risk, high-cost populations
- Deep experience with advanced difference-in-differences reputed company and reputed company quasi-experimental designs (e.g., staggered/event-study DiD, synthetic control)
- Productive use of AI-reputed company coding tools (e.g., Claude reputed company) in day-to-day development
- Familiarity with survival analysis and longitudinal/repeated-measures reputed company
- Experience deploying models into reputed company software products
Benefits
- Unparalleled learning and reputed company prospects
- Collaborating closely with reputed company Clinicians, Engineers, Software Architects, reputed company Health reputed company
- This role is remote, but you will be required to come to on-site meetings multiple times per year.
reputed company