Sr. Data Engineer, Clinical Solutions (Biotech/Pharma exp)- San Diego based

Position Overview

Neurocrine Biosciences is a leading neuroscience-focused biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. In this role, you will design, implement, and maintain data infrastructure and analytical solutions that support clinical trials and development programs. You will work closely with Clinical Operations, Biometrics, and IT teams to build scalable data models and transformation workflows in an environment that values collaborative innovation and regulatory excellence.

Key Responsibilities

• Collaborate with team members to develop and maintain data solutions for clinical stakeholders
• Empower scientists, researchers, and management with efficient access to high-quality data insights
• Maintain and create end-to-end solutions, including data ingression, modeling, and visualization
• Design and implement data models optimized for analytical querying, reporting, and ML workflows
• Solve challenges related to multi-model data sources, harmonization, and normalization
• Provide technical leadership in evaluating and implementing new tools and technologies
• Assist in management and selection of optimal data transfer approaches among different vendors
• Develop and deploy end-user facing solutions to production using SDLC best practices
• Create and maintain documentation to support development work, definitions, and business rules
• Adhere to regulatory guidelines (e.g., GxP, HIPAA, GDPR) and security policies in handling data
• Act as a data and analytical consultant to stakeholders on data utility issues
• Support the clinical team with planning and execution of clinical studies
• Perform other job-related duties as assigned

Required Qualifications

• Bachelor's Degree in Computer Science, Engineering, Bioinformatics, or a related field with 4+ years in an analytical capacity associated with report development/maintenance OR Master's Degree with 2+ years of relevant experience
• Demonstrated passion for solving complex problems with technology
• Excellent communication skills and ability to work with cross-functional teams
• Ability to manage multiple priorities to meet deadlines
• Prior bio/pharma experience is highly preferred, but not required
• Experience implementing production data models and analytical solutions
• Strong programming skills in Python and other modern programming languages
• Expertise in database design, SQL optimization, and data modeling patterns
• Expertise with cloud infrastructure and computing platforms, with the AWS ecosystem preferred
• Advanced knowledge of clean code principles, testing methodologies, GitHub, and CI/CD tools
• Advanced knowledge in data analysis, exploration, and visualization tools
• Experience with statistical concepts and methods (descriptives, probability, hypothesis testing)
• Familiarity with clinical data standards (CDISC, SDTM, ADaM) and GCP regulatory guidelines

Benefits & Perks

• Compensation: Annual base salary of $101,200.00 to $146,550.00
• Bonus: Target annual bonus of 20% of the base salary plus eligibility for an equity-based long term incentive program
• Retirement Savings Plan: With company match
• Paid Time Off: Vacation, holiday, and personal days, along with paid caregiver/parental and medical leave
• Health Benefits: Medical, prescription drug, dental, and vision coverage in accordance with plan terms