Principal Business Analyst - Research Program Management

Regeneron Pharmaceuticals•Tarrytown, GA

1d•$114,800 - $187,400•Hybrid

About The Position

The Principal Business Analyst Research Program Management (RPM) will work collaboratively with Research Program Managers, Research & Preclinical Development scientists, as well as other IT stakeholders, to understand and document scientific drug discovery and data processes and translate these into requirements for the development of data and technology solutions that support Regeneron’s scientific mission. This role is based at our Tarrytown, NY location and requires 4 days onsite per week.

Requirements

Master’s degree in a life science with experience in computer science or information technology.
7+ years of experience in a research, pharmaceutical, biotechnology, or scientific laboratory environment.
Previous experience in the biotechnology and/or pharmaceutical industry is required.
Adept at using a variety of tools (e.g., Laboratory Information Management Systems, SQL databases, data and process modeling frameworks) in order to perform business analysis, elicit and document requirements, map data flows, and drive data quality improvements in a research-focused environment.

Nice To Haves

Previous experience with drug discovery program management, biological laboratory techniques, bioinformatics methods, relational database concepts, IT project and software development lifecycle methodologies, and managing or leading software development projects is preferred.

Responsibilities

Translate business strategies, goals, and objectives into clear requirements; document problem statements with quantifiable business value
Document “as is” and “to be” business processes; identify, verify, and document functional and non-functional requirements using standard methodologies and tools
Map information system connections and data flows between systems; identify data elements and provide data mapping and data dictionaries
Write SQL statements to investigate data; understand data lake principles and different database types
Maintain and prioritize the backlog of requests; ensure the development team has absolute clarity on requirements; manage business stakeholder expectations
Work with scientists and laboratory personnel to understand business processes and suggest improvements; partner with research scientists and technical teams to define system goals and requirements
Pursue data quality issues to root cause; collaborate with business and IT partners to address issues intelligently
Handle a variety of tasks, effectively solve problems with complex variables, and shift priorities as needed in a fast-paced research environment
Work alongside stakeholders to test solutions for accuracy and consistency of results.