Top Healthtech Data Science Jobs

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

As a Staff Data Scientist at Sprinter Health, you will analyze clinical and operational data, design A/B experiments, and provide insights to improve care delivery and patient outcomes.

The Senior Data Scientist will lead the development of analytics products for revenue cycle operations, mentor junior team members, and ensure scalable data solutions. Responsibilities include building metrics frameworks, executing complex analyses using SQL and Python, and collaborating with engineering teams to enhance client insights and relationships.

The Senior Data Scientist will lead data science initiatives, collaborate with various teams, and drive business outcomes through data analysis and modeling.

As a Senior Data Engineer, you will build the Agentic AI platform, develop APIs, manage data pipelines, and support data science projects, focusing on large datasets and advanced technologies.

Drive causal and machine learning analyses to measure product feature impacts, develop KPIs, and create visualizations while collaborating with cross-functional teams.

The role involves leading a Biomarker Data Science team to develop innovative statistical methods, execute analyses on clinical data, and collaborate across teams to advance drug development.

Lead a team in developing computational methods for biomarker data analysis, collaborate with scientists, and execute statistical strategies for drug development.

The Principal Scientist will apply expertise in human genetics and statistical genetics to support new medicine development, perform complex analyses, and collaborate with multidisciplinary teams to address scientific questions.

As a Data Scientist, you will apply AI and machine learning to enhance regulatory workflows, analyze data, and build predictive models, collaborating with stakeholders and engineers to create impactful solutions.