Top Healthtech Data Science Jobs

Lead enterprise HR data science strategy and team to build predictive, diagnostic, and prescriptive models, employee listening, and knowledge management. Embed responsible AI and analytics into HR products and workflows, ensure methodological rigor and governance, partner with senior leaders to measure impact, and scale global data science services.

Lead development and deployment of predictive, risk-scoring, and optimization models for behavioral health using claims and clinical data. Define data science infrastructure, perform deep analytics, translate models into client-facing impact and dashboards, and lead cross-functional product and client engagements.

Lead healthcare-focused data science projects from concept to deployment. Develop and deploy advanced ML, NLP, and generative AI models using Python and GCP (Vertex AI, BigQuery, Dataflow). Collaborate with clinicians, present findings to stakeholders, mentor junior data scientists, and ensure team follows AI/data science best practices.

Lead and deliver complex data science and engineering projects: design data models and scalable pipelines, build and productionize statistical and ML models (Python/R), perform data integration and quality work, generate actionable insights for executive stakeholders, and provide domain leadership in Payment Integrity/FWA.

Lead client-facing data science for external reporting, automating QBRs, recurring reports, and RFP analyses. Build and own client SLAs and foundational external metrics, partner with Sales and Customer Success, represent Foodsmart in client conversations, and leverage dbt, BI, and AI-native tooling to scale reporting and validation.

As a Staff Data Scientist, you will lead data initiatives, partnering across teams to apply statistical methods and improve mental health care outcomes by translating data into actionable insights.

Lead a data science team to build and deploy production ML and decision systems for matching, scheduling, forecasting, and operational prioritization. Partner with Product, Engineering, and Operations to define problems, deploy AI-enabled workflows, establish evaluation and monitoring standards, and coach a high-performing team while remaining hands-on on critical projects.

The Vice President of Data Science oversees AI-driven clinical insights and predictive modeling, leading a team to develop novel AI signatures from clinico-genomic data. Responsibilities include strategy execution, model governance, and collaborative efforts across multiple departments to enhance precision medicine.

The Data Scientist will lead the development of data products that enable AI-driven insights, ensuring compliance and optimizing processes across CMC workflows.

Lead advanced statistical modeling and analytics for healthcare/public-sector clients. Define analytical approaches, build and productionize ML models, oversee ETL/ELT pipelines, ensure data governance for sensitive datasets, and translate results for non-technical stakeholders while consulting directly with government clients.