Top Biotech Data & Analytics Jobs

As a Biostatistics Summer Associate, you will conduct causal inference analyses, collaborate in projects, and apply statistical knowledge in real-world settings.

As a Salesforce Business Analyst, you will distill stakeholder needs into business requirements, manage regulatory risks, and support software development processes for GRAIL's Salesforce platform.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

Build and maintain scalable ETL pipelines and storage for multimodal clinical and NLP data; ensure data quality, security, and compliance; implement synthetic-data generation and real-time model evaluation infrastructure; create dashboards and documentation to support AI research and monitoring.

Design and execute biostatistical components for clinical development from first-in-human through Phase 4. Collaborate with clinicians and scientists on study design, analysis, reporting, and regulatory-compliant statistical activities. Prepare reports, presentations, manuscripts, and contribute to methodology research and team strategy.

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.

Lead clinical data management for Tango's outsourced trials from planning through database lock. Oversee CRO partnerships, data standards (CDASH/SDTM), database design, edit checks, UAT, data quality metrics, vendor oversight, and cross-functional collaboration to ensure timely, high-quality clinical datasets.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Associate Director will support corporate partnerships and fundraising for Remix Therapeutics, conducting analyses and preparing communications for stakeholders.

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.