Top Healthtech Data Science Jobs

Own the analytical strategy for a digital primary care program by defining KPIs, building dbt data models, maintaining the Snowflake/Fivetran/dbt stack, and delivering analytics, forecasting, revenue modeling, dashboards, and AI-assisted workflows. Translate patient, EHR, clinical, and operational data into actionable insights for product, care delivery, operations, leadership, health systems, and payers.

Develop data science and optimization solutions for drug pricing, analyzing complex datasets and building production-oriented workflows in Python and SQL. Deploy machine learning models, develop CI/CD pipelines, use GCP and Vertex AI, and collaborate on Gurobi-based optimization algorithms. Translate technical findings into business decisions while partnering with cross-functional stakeholders and contributing to squad-based delivery and future leadership responsibilities.

Develop AI-enabled supply risk analytics using machine learning, probabilistic modeling, Monte Carlo simulation, forecasting, anomaly detection, and Generative AI. Build interactive applications, data pipelines, agentic workflows, and reporting automations using Python, SQL, Databricks, AWS Glue, and related tools. Collaborate with global Supply Chain, Quality, Procurement, and Business Continuity stakeholders to translate risk questions into actionable insights while following responsible AI, data privacy, quality, testing, and agile development practices.

Own end-to-end data science projects, including customer discovery, statistical analysis, predictive modeling, Python and SQL development, Databricks pipelines, AI-enabled analytics, quality checks, and customer presentations. Build reusable data assets at claims-data scale and contribute to Bonfire’s AI-powered products. The role requires rigorous analysis, strong communication, customer empathy, and comfort working with ambiguous problems.

Leads advanced data science and machine learning initiatives for healthcare payment integrity, including fraud, waste, and abuse detection, anomaly identification, predictive modeling, statistical analysis, dashboards, and recovery investigations. Provides technical leadership, mentors analysts, integrates production analytical solutions, collaborates with legal and business stakeholders, and presents findings to leadership. Requires healthcare expertise, advanced SQL and programming skills, and knowledge of claims, billing, reimbursement, and program integrity.

Develop member-level predictive models and longitudinal analyses for CMS Health Outcomes Survey measures and Medicare Advantage Star Ratings. Analyze survey drivers, trajectories, sampling, response rates, case-mix adjustments, and statistical significance. Build data pipelines and dashboards, validate methodologies, deploy models with engineering teams, and translate findings into clinical and operational interventions. Collaborate with Stars, clinical, care management, compliance, legal, and survey vendor stakeholders to ensure CMS-aligned outcomes and reporting.

Lead the data science function, owning machine learning strategy, predictive models, healthcare analytics, DBT data marts, and executive dashboards. Analyze claims, eligibility, pharmacy, EMR, HIE, clinical, and operational data to identify high-risk patients, evaluate clinical interventions, and improve patient and provider engagement using AI and LLMs. Collaborate with clinical, operations, and technology teams while leading data science staff in a fast-growing healthcare organization.

Supports planning, coordination, tracking, reporting, and delivery of research projects involving scientific and technical teams. Responsibilities include milestone and resource tracking, meeting facilitation, status communications, dashboard and documentation maintenance, grant accounting and billing reports, issue escalation, and operational follow-through. The role supports projects involving data science, genetics, genomics, and software development while coordinating stakeholders, timelines, deliverables, and project records.

Develop NLP, LLM, and machine learning pipelines to abstract clinical concepts from structured, unstructured, and multimodal healthcare data. Query healthcare source systems, curate and validate AI-ready datasets, support patient phenotyping and real-world evidence analyses, and deliver HIPAA-compliant data products. Collaborate with product and engineering teams, communicate findings to technical and clinical audiences, and improve data quality for customer AI applications. The role is remote with occasional quarterly travel.

Tenure-track Assistant Professor teaching data science and analytics courses while conducting funded research in machine learning, statistical modeling, data mining, omics, bioinformatics, and population health. The role requires interdisciplinary teaching, publication, service, and contributions to health equity and community-engaged research.