Top Biotech Data & Analytics Jobs

This role involves owning demand forecasting models, conducting analyses, leading cross-functional projects, and communicating insights to stakeholders in a fast-paced healthcare setting.

The Senior Director of Biostatistics will lead the biostatistics team, drive statistical strategies, and ensure high-quality contributions to advance drug development.

The Director of Data Engineering will oversee the design, development, and maintenance of data infrastructure and pipelines, ensuring data quality and regulatory compliance while collaborating with various teams to support AI-driven innovations.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

As a Data Analyst at Flatiron's Evidence Solutions, you'll develop data models, conduct statistical analyses, ensure data quality, and provide actionable insights to support cancer care improvements.

The role involves building and scaling a scientific model platform at Benchling, integrating various AI models, and collaborating with users to optimize usage in biotech R&D.

Lead the implementation of evaluation frameworks for AI systems and clinical assessments, translate clinical evaluations into rubrics, and supervise a team of analysts and engineers.

As a Data Scientist Intern, you will analyze data, develop predictive models, collaborate with teams, and improve data quality while contributing to business insights.

The Databricks Data Engineer will build scalable data pipelines on the Databricks Lakehouse Platform for analytics and machine learning. Responsibilities include data ingestion, transformation, quality checks, and collaboration with teams to develop data models.

The Data Engineer will build and support ELT/ETL pipelines on Microsoft Azure, ensure data quality, and collaborate with various stakeholders to optimize data for analytics and reporting.