Top Biotech Data Science Jobs

The Data Scientist supports AI-driven initiatives, conducts analytics, builds machine learning algorithms, and develops technical reports. They work with large datasets to drive business improvements and enhance patient lifetime value.

The Staff Bioinformatics Scientist will oversee data program deliveries, ensuring quality and enabling customer use of genomic data. Key responsibilities include technical ownership of projects, quality control, customer enablement, and creating reusable practices.

The Senior Scientist in Bioinformatics will analyze clinical biomarker data, perform statistical analysis, and collaborate with teams to support oncology trials.

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.

The Principal Statistical Programmer will oversee and deliver statistical programming for clinical trials, ensure high-quality data summaries, and support regulatory submissions while collaborating with CROs and other functions.

This role involves leading data science efforts in statistical programming, collaborating on clinical data analyses, and ensuring regulatory compliance while advancing analytical capabilities.

Analyze biological datasets using machine learning and deep learning, collaborate on research projects, and communicate findings through visualizations and reports.

This internship involves developing machine learning approaches for biological data, designing experiments, collaborating on research, and presenting findings.

The Principal Data Scientist will lead the development of AI-powered data science tools, collaborating with cross-functional teams to enhance clinical research and optimize trials. Responsibilities include designing scalable solutions, ensuring software reliability, and communicating insights effectively.

The Data Manager – AI Development coordinates data planning, collection, annotation, and governance for AI medical devices, ensuring data readiness and compliance.