Top Healthtech Data Science Jobs

The Data Scientist supports AI/ML solutions, conducts exploratory data analysis, implements machine learning models, and collaborates on data-driven projects.

Support the development of RNA-seq data analysis pipelines and machine learning models for biomarker discovery. Analyze datasets, optimize pipelines, and collaborate with scientists to interpret findings.

The Staff Data Architect at Heartflow will lead the data strategy, managing the architecture for databases and data lakes while ensuring compliance and performance of the system. Responsibilities include overseeing data modeling, database operations, and collaborating with engineering teams to enhance data processes for healthcare applications.

This role involves analyzing EHR and insurance claims data to define clinical outcomes, developing AI models, and collaborating with technical experts for manuscript preparation.

The Bioinformatics Scientist works on moderate to complex projects, analyzing data, leading research initiatives, and managing bioinformatics outputs in collaborative settings. Responsibilities include conducting experiments, preparing reports, providing technical input, and contributing to product development in diagnostics.

The Senior Data Scientist will manage data collection, design study protocols, train juniors, lead report development, and support innovative analytics tools.

The Lead Data Science Product Manager will lead AI initiatives, engage with executives, design AI solutions, and provide overall product leadership.

As a Data Scientist in the Innovation Team, you'll develop machine learning algorithms on molecular sequencing data to enhance cancer diagnostics and treatment, collaborating with diverse experts on high-impact projects.

As a Staff Data Scientist, you will address complex business challenges using AI and optimization algorithms, collaborate with engineering, define strategies, and implement data product frameworks.

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