Top Biotech Data Engineering Jobs in Boston, MA

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

The Data Engineer will develop and manage bioinformatics pipelines, optimize data processing, collaborate with scientists, and enhance data platforms for Pfizer's R&D.

The Principal Statistical Programmer leads project teams, ensuring accuracy in SAS programming, regulatory compliance, and effective communication among cross-functional teams.

The Manager, Data Science - Oncology will lead data engineering initiatives, optimize workflows, and support data projects, specifically in Oncology R&D. Responsibilities include developing data pipelines, managing a technical team, and collaborating with stakeholders to deliver data solutions.

The Data Solutions Engineer will design and deliver data and analytics solutions, manage data pipelines, and support cloud platforms while collaborating with various teams to improve data accessibility and operational efficiency.

The Data Architect will design data infrastructure for AI-native drug discovery, focusing on data models, ontologies, and data platform architecture to support scientific workflows and analytics.

The Data Architect Director will design and govern enterprise data architecture, support commercial analytics, and ensure seamless data integration across the organization.

The Senior Software Engineer designs and builds data products for genomics research, creating data pipelines, ensuring compliance, and collaborating with R&D teams.

The Statistical Programmer Contractor develops and validates SAS programming deliverables for clinical studies, ensuring compliance with project timelines and regulatory standards.

The Data Integration Engineer will manage data integrations and ETL processes for healthcare data, ensuring accuracy and accessibility for business users.