Top Healthtech Data Science Jobs

Contribute to forecasting, matching, scoring, and machine learning systems powering a healthcare marketplace. Responsibilities include querying and wrangling Snowflake data with SQL, supporting A/B tests, applying statistical analysis, validating models, collaborating on MLOps and production deployment, and presenting findings to technical and non-technical audiences.

Provides strategic internal consulting on AI and data science initiatives across pharma commercial and product R&D teams. Advises senior leaders, designs AI/ML architectures, promotes enterprise platform reuse, influences platform roadmaps, and ensures compliance with GxP, privacy, and healthcare regulations. Guides multiple projects, mentors data scientists, develops analytical strategies, and advises on scalable model deployment, monitoring, and production performance.

Own and improve Arlo’s healthcare underwriting model using large-scale claims data. Develop evaluation frameworks, engineer predictive features, test machine learning architectures, and validate model improvements through backtesting focused on medical loss ratio and pricing competitiveness. Monitor predictions and policy outcomes, identify bias and risk-estimation gaps, and partner with actuaries and ML engineers to deploy reliable models at scale.

Lead growth data science for emerging healthcare products by defining measurement frameworks, analyzing funnels, designing experiments, building predictive models and segmentations, and creating reliable data foundations, dashboards, and self-service tools. Partner with Marketing, Product, Engineering, Design, and Data Science to optimize acquisition, engagement, conversion, launches, and product growth.

Lead the end-to-end development, deployment, monitoring, and optimization of machine learning models supporting healthcare operations. Translate business goals into measurable data science objectives, design impact experiments, maintain reliable production ML systems, monitor model health and drift, manage incident response, and guide technical strategy. Mentor data science and ML engineering teams while partnering with Product, Engineering, and leadership. The role also involves healthcare data, real-time systems, EHR integrations, and improving operational efficiency.

Build data filtering and curation pipelines for VLM and classifier training sets, develop model-based data-quality signals, design clinical evaluation methodology for radiology report generation, maintain clinical benchmarks, validate model-based evaluators against radiologist judgment, and implement continuous evaluation and regression testing across the research stack.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

The Research Intern will assist in data curation, exploratory analysis, and implementation of machine learning models in healthcare applications.

The Data Scientist supports AI-driven initiatives, conducts analytics, builds machine learning algorithms, and develops technical reports. They work with large datasets to drive business improvements and enhance patient lifetime value.

Provide analytics and data-driven insights for CoverMyMeds clients, prioritize work that drives commercial outcomes, build relationships with account teams, apply statistical and predictive methods, monitor portfolio health, deliver client-facing visuals and recommendations, support complex requests and escalations, and inform strategic decisions across product, analytics, and operations.