Top Healthtech Data Science Jobs

Senior technology leader owning enterprise BI, analytics, data science, and AI strategy. Leads BI, Data Science, and ML Engineering teams; drives model development, MLOps, governance, regulatory compliance (HIPAA/CMS), generative AI adoption, vendor decisions, and executive reporting to improve clinical, financial, and operational outcomes.

As a Senior Data Scientist, you'll lead projects leveraging data to enhance healthcare outcomes, mentor team members, and align data efforts with business goals.

Design and build predictive models, AI tools, and data visualizations for CMS healthcare initiatives. Analyze quantitative and qualitative data (Medicare claims, public datasets, web analytics), perform feature engineering, anomaly detection, and provide insights to support product design and price-transparency tools. Collaborate with designers, product owners, and engineers in an agile environment.

Senior individual contributor who builds statistical models and experiments to optimize acquisition, conversion, retention, and lifetime value. Partners with Product, Marketing, and Engineering to define data requirements, analyze A/B tests, perform cohort and funnel analyses, communicate findings to stakeholders, and mentor junior team members while contributing to analytics best practices.

Design and deploy advanced analytical models and dashboards (Power BI, Celonis) to generate supply-chain insights. Analyze large datasets, define KPIs, partner cross-functionally to build data foundations (SQL, Snowflake, HANA VDMs), lead process mapping and automation initiatives, and drive measurable operational improvements.

Develop ML methods for biological data analysis, collaborate with scientists, integrate diverse data modalities, and drive innovations in disease modeling.

Partner with business stakeholders to define analytics problems, prepare and join large datasets, build and automate models, interpret results, and present recommendations. Manage multiple projects, provide peer review and coaching, document procedures, and support process improvement across cross-functional teams.

Design and run advanced statistical and machine learning analyses on large healthcare datasets to evaluate programs, inform policy, and produce visualizations and reports. Collaborate with clinical, policy, and IT teams, ensure data quality and privacy compliance, mentor junior analysts, and translate findings into actionable recommendations to improve care delivery.

Build and evolve AI systems to enhance investment insights, integrating models and optimizing outputs for professional investors in a fast-paced environment.

As a Senior AI/Data Science Engineer, you'll develop algorithms and collaborate with engineering teams to create innovative product features, ensuring robust deployment and optimizing performance for healthcare applications.