Top Biotech Data Science Jobs

The intern will collaborate with statisticians to conduct analysis using AI and machine learning techniques, implementing models and analyzing clinical data.

Lead data analysis for drug discovery in neuroscience, integrating diverse datasets and collaborating with cross-functional teams to develop therapeutic candidates and validate targets.

The role involves building bioinformatics and ML pipelines, analyzing multi-omics data, mentoring, and collaborating across teams to develop actionable insights and scientific breakthroughs.

The Associate Director of Data Science will lead quality data science initiatives, develop strategies for product quality control, provide analytical insights, and support regulatory compliance in a biotechnology setting.

The Data Science Manager will lead projects, enhance reporting solutions, mentor junior analysts, and collaborate on business analytics and data visualization.

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 Associate Director leads data science projects focused on marketing optimization and AI-driven decision-making, collaborating across departments and ensuring alignment with business goals.

The Bioinformatics Engineer II role focuses on developing and improving single cell analysis tools in Trailmaker, collaborating across the full stack, and mentoring teammates.