Principal IT R&D Systems Analyst — Lab Informatics & AI

Neurocrine Biosciences; San Diego (CA); On-site; USD 133,000 - 182,000; Full time

Benefits offered by this job

Retirement plan with company match

Paid time off

Health benefits

Job summary

Neurocrine Biosciences leads the development and management of a state-of-the-art lab informatics software environment to support research, preclinical development, and technical operations. The role drives automated solutions that align with organizational goals and serves as a technical data steward for scientific data processing and governance.

The position involves directing system strategies, overseeing project delivery within budget, and guiding cross-functional teams to implement

Qualifications

• BS/BA in computer science or IT with 6+ years of relevant experience in a pharmaceutical environment.
• Master’s or PhD paths are noted as alternatives with corresponding experience levels, per job description.
• Experience supporting validated GxP applications for regulatory purposes is strongly recommended.

Responsibilities

• Leads development, implementation, and continuous improvement of non-GxP and GxP system projects (e.g., LIMS, ELN, BI) for data acquisition, tracking, processing, and advanced analytics.
• Guides data governance, data pipelines, data models, metadata structures, and semantics across systems.
• Acts as a technical data steward to ensure data quality and interoperability across cross-functional teams.
• Oversees cross-functional projects, manages release cycles, and communicates complex technical concepts to senior stakeholders.

Skills

Communication skills

Leadership

Project management

Analytical thinking

Problem solving

Education

BS/BA in computer science or IT

Job description

Neurocrine Biosciences leads the development and management of a state-of-the-art lab informatics software environment to support research, preclinical development, and technical operations. The role drives automated solutions that align with organizational goals and serves as a technical data steward for scientific data processing and governance.

The position involves directing system strategies, overseeing project delivery within budget, and guiding cross-functional teams to implement