Sr. Data Scientist, Clinical Data Solutions | Onsite San Diego HQ

Neurocrine Biosciencesis a leading biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering developing and commercializing life-changing treatments for patients with under-addressed neurological psychiatric endocrine and immunological disorders. The companys diverse portfolio includes FDA-approved treatments for tardive dyskinesia chorea associated with Huntingtons disease classic congenital adrenal hyperplasia hyperphagia in patients with Prader-Willi syndrome endometriosis* and uterine fibroids* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For more than three decades we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science. For more information visit and follow the company onLinkedInX Facebook and YouTube. (*in collaboration with AbbVie)

This role is responsible for developing deploying and maintaining scalable data pipelines analytical data products and automation solutions that enable clinical teams to design run monitor and analyze clinical trials while optimizing for safety efficacy quality and efficiency. This role works cross-functionally with medical and technical professionals in Clinical Development Clinical Operations Biometrics and IT to transform complex clinical and operational data into useful outputs for exploration decision-making and early risk identification.

Our ideal candidate is a self-starter with a passion for building practical analytical tools strong technical depth applied statistical judgment and the ability to deliver production-ready solutions across controlled clinical technology environments.

• Collaborate with Clinical Development Clinical Operations Biometrics and medical teams to support the design execution monitoring and reporting of clinical trials

• Develop and maintain data pipelines analytical products and dashboards that make clinical and operational data more accessible consistent reliable and actionable

• Identify and build operational metrics statistical signals risk indicators and decision-support tools that help stakeholders detect emerging site study vendor country or workflow risks early enough to intervene

• Translate complex clinical and operational questions into practical technical solutions including data ingression transformation modeling visualization monitoring and consumption through readily accessible tools and technologies

• Serve as a technical resource for statistical and numerical methods resource for the team helping determine whether observed differences trends outliers or anomalies are meaningful actionable or likely noise

• Apply programming statistics visualization and analytical techniques to support clinical trial oversight data quality review operational performance monitoring patient stratification predictive modeling and exploratory analysis

• Develop and enhance AI-enabled biomarker translational and digital measurement solutions that improve clinical review automation risk detection and decision support

• Provide technical guidance and support to team members promoting best practices for data organization code development and analytical techniques for scalable solution design

• Build and maintain production solution stacks across controlled multiple environments using Git pull requests code review CI/CD release documentation and change control practices

• Optimize analytical solutions and cloud-based infrastructure to improve performance reliability usability security scalability and cost efficiency

• Maintain enhancement backlogs technical documentation data definitions business rules validation evidence and solution roadmaps to support deployed products and future improvements

• Bachelors degree in Data Science Computer Science Engineering Bio/Pharma Development or related field and 4 years in an analytical capacity supporting development and maintenance of solutions OR

• Masters degree in Data Science Computer Science Engineering Bio/Pharma Development or related field and 2 years as noted above OR

• PhD or equivalent in Data Science Computer Science Engineering Bio/Pharma Development or related field and applicable academic or applied experience as noted above

• Demonstrated passion for practically solving complex clinical operational and technical problems with scalable technology

• Prior bio/pharma CRO medical device healthcare technology or similar regulated industry experience highly preferred

• Advanced proficiency in Python R or other mainstream programming languages

• Proficiency in SQL relational database design and data modeling

• Proficiency with data platform products such as Databricks/Snowflake

• Proficiency with data exploration and visualization tools such as Tableau Power BI R Shiny Streamlit or similar frameworks

• Strong practical understanding of statistics including hypothesis testing confidence intervals regression correlation trend analysis outlier detection variance and distinguishing meaningful signal from noise

• Experience with statistical analysis software and tools such as SAS R JMP SPSS Python or similar platforms

• Experience with AI/ML generative AI NLP model evaluation human review and responsible AI practices

• Experience with clean code principles testing methodologies Git/GitHub branching pull requests code review versioning and collaborative development workflows

• Experience with cloud infrastructure cloud computing platforms infrastructure-as-code concepts CI/CD environment management monitoring logging and scalable deployment patterns

• Experience with CDISC standards clinical data flows GCP regulatory guidelines and regulated clinical development processes preferred

• Experience with machine learning AI predictive modeling patient stratification operational risk modeling and responsible use of AI in clinical data analysis

• Familiarity with clinical data capture trial management randomization systems clinical operations data Real World Data EHR and wearable data sources

• Familiarity with GxP validation change control audit trails data integrity privacy/security compliance standards and how those expectations are implemented in controlled technology environments

• Ability to work as part of a team communicate complex analytical and technological concepts to non-technical peers and manage multiple priorities to meet deadlines

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Neurocrine Biosciences is an EEO/Disability/Vets employer.

We are committed to building a workplace of belonging respect and empowerment and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications dont line up to exactly what we have outlined in the job description.

The annual base salary we reasonably expect to pay is $103300.00-$141000.00. Individual pay decisions depend on various factors such as primary work location complexity and responsibility of role job duties/requirements and relevant experience and addition this position offers an annual bonus with a target of 20% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match) paid vacation holiday and personal days paid caregiver/parental and medical leave and health benefits to include medical prescription drug dental and vision coverage in accordance with the terms and conditions of the applicable plans.