Senior Biotech Data & Process Analyst

Regeneron Pharmaceuticals, Inc (USA); Village of Tarrytown (NY); On-site; USD 100,000 - 160,000; Full time

Job summary

Regeneron Pharmaceuticals, Inc (USA) is seeking a Principal Business Analyst for Velocigene to translate scientific Lab and data processes into clear IT requirements. You will document as-is and to-be processes, map data flows, and collaborate with researchers and IT teams to define system goals and deliver data-driven improvements.

The role emphasizes data quality, backlog management, and strong written and verbal communication across technical and scientific stakeholders in a fast-paced

Qualifications

• Master’s degree in life sciences with IT experience.
• 5–8+ years of experience in a research, pharmaceutical, biotechnology, or scientific laboratory environment.
• Biotech/pharma industry experience is required.
• Experience with LIMS, SQL, and data modeling to drive data quality in research environments.
• Experience with biological laboratory techniques and IT project lifecycles is preferred.

Responsibilities

• Translate business strategies into clear, actionable requirements.
• Document problem statements with measurable business value.
• Map data flows and information system connections between systems.
• Write SQL statements to investigate data and support data lake concepts.
• Maintain and prioritize the backlog to ensure clarity for the development team.
• Collaborate with scientists and IT partners to define system goals and requirements.
• Address data quality issues by identifying root causes and coordinating fixes.

Skills

Communication skills

Independent and team work

Analytical thinking

Adaptability

Education

Master’s degree in life sciences with IT experience

Tools

LIMS (Laboratory Information Management Systems)

SQL databases

Data modeling frameworks

Job description

Regeneron Pharmaceuticals, Inc (USA) is seeking a Principal Business Analyst for Velocigene to translate scientific Lab and data processes into clear IT requirements. You will document as-is and to-be processes, map data flows, and collaborate with researchers and IT teams to define system goals and deliver data-driven improvements.

The role emphasizes data quality, backlog management, and strong written and verbal communication across technical and scientific stakeholders in a fast-paced