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# Principal Business Analyst Science Data Portal

- **Company:** Regeneron
- **Location:** Tarrytown, NY, United States
- **Experience:** Expert
- **Salary:** $114,800.0 - $187,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Systems, Databases, Data Dictionary, Data Mapping, Data Systems, Data Visualization, Relational Databases, Database Queries, Laboratory Information Management Systems, Software Engineering, SQL Databases, Data Streaming, Tableau (Software), Large Language Models, Data Lakes, Information Technology, Spotfire, Databricks
- **Published:** July 18, 2026
- **Apply:** https://www.biospace.com/logon?PipelinedPage=%2Fjob%2F3062481%2Fprincipal-business-analyst-science-data-portal%3FAction%3DContinueJobApplication%23application-form

## About the Role

* Masters 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. We need someone who is adept at using a variety of tools (e.g., Laboratory Information Management Systems, SQL databases, data and process modeling frameworks, data visualization tools such as Spotfire or Tableau) in order to perform business analysis, elicit and document requirements, map data flows, model data solutions, and drive data quality improvements in a research-focused environment.
 * Previous experience with drug discovery program management, biological laboratory techniques, bioinformatics methods, relational database concepts, databricks, Large Language Models, IT project and software development lifecycle methodologies, and managing or leading software development projects is preferred.

## Description

The Principal Business Analyst Science Data Portal (SDP), will work collaboratively with Research & Preclinical Development scientists as well as other IT stakeholders, to understand and document scientific drug discovery data challenges and translate these into requirements for the development of data and technology solutions that help scientists to leverage their data for broader/deeper insights. Artificial Intelligence will be a large part of this process and of the solution landscape moving forward., * 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


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