Top Biotech Data & Analytics Jobs

Lead Statistical Programmer needed to translate statistical analysis plans into R code, analyze real-world data, mentor junior staff, and improve analytical tools for oncology research.

As an Applied AI Data Scientist, you'll develop and validate AI systems to improve clinical data for oncology research, collaborate with stakeholders, and enhance data quality for impactful insights.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

The Senior Manager will drive performance tracking, reporting, and analytics to support commercial performance, collaborating with stakeholders to optimize reporting processes and generate insights.

Manage data operations, ensure data quality, lead client engagement audits, and support oncology research through effective data solutions.

Lead the Product Analytics & Data Science team, focusing on mentorship, stakeholder management, and executing data projects to drive insights and value.

Lead business analysis for customer-facing digital platforms, collaborating with teams to enhance user experience and drive engagement through data analysis and process mapping.

Responsible for building scalable data pipelines, transforming data using Python and SQL, and collaborating with teams to ensure data quality and successful analytics solutions.

Lead DMPK studies, design and manage in vitro and in vivo ADME assessments, represent the DMPK department on project teams, and mentor junior scientists.

The Principal Biostatistician leads statistical analysis for clinical programs, providing input on study design, data management, and regulatory compliance while mentoring junior team members.

The Global Senior Enterprise Architect aligns technology strategy with business goals, develops architectural standards, and communicates architecture solutions for manufacturing and quality processes in pharmaceuticals.

Develop neural decoders to enhance Brain-Computer Interfaces (BCIs) with machine learning solutions. Collaborate across teams to drive project execution.