Top Healthtech Data & Analytics Jobs

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

The Pricing Data Analyst will manage workflows related to pricing operations, analyze data, monitor competitor activity, and communicate actionable insights to improve pricing strategy and decision-making.

The role involves developing statistical models and analyses to address client business issues, guiding decision-making with data insights and mentoring associates.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.

Lead analytical efforts across product domains, manage a team of analysts, develop tools for analytics at scale, and influence product strategy through insights.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

Lead end-to-end performance measurement in analytics, define core metrics, develop frameworks, and translate business needs into actionable insights while overseeing analytics products and fostering cross-domain collaboration.

The Senior Data Engineer will design and implement enterprise data architecture, oversee data modeling, ensure data governance, and automate workflows, while collaborating with cross-functional teams.

Manage provider data, improve databases, report and extract data for analyses, and assist with audits and quality improvement initiatives.

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.

Design and implement MDM solutions, analyze business and data requirements, create technical specifications, ensure code quality, and offer technical guidance on data management.