Principal Scientist, Data Science (Data Products, Integration & Analysis)

Position Summary

• Lead design, implementation, and evolution of scientific data products and integration strategies for AI-enabled drug discovery and development.
• Create scalable, interoperable, AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence.
• Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI.
• Work with scientific stakeholders, knowledge architects, AI engineers, and platform teams to deliver high-quality products supporting translational science and patient safety.

Key Responsibilities

• Define and execute scientific data product strategy (discovery, translational science, preclinical safety, clinical development, pharmacovigilance, real-world evidence).
• Design data integration/harmonization frameworks (SEND, SDTM, ADaM, MedDRA, Imaging, Omics, Biomarker, Pathology, real-world data).
• Lead AWS deployment strategy; partner on pipelines/data products; ensure security/governance/AI-readiness alignment.
• Develop curated datasets, semantic-ready data products, feature stores, metadata products, scientific data services, and AI-ready assets.
• Define metadata standards; implement lineage/provenance/traceability and FAIR; monitoring and quality controls.
• Build predictive AIML models for translational safety decision making.

Required Qualifications

• Master’s or PhD in CS/Data Engineering/Bioinformatics/Biomedical Informatics/Information Systems/Computational Biology/related.
• 5+ years in scientific data engineering/architecture/products or life sciences informatics.
• Enterprise-scale scientific data product delivery experience.
• Experience supporting drug discovery/development/clinical research/pharmacovigilance.
• Experience developing predictive models in these areas.

Preferred Qualifications

• Knowledge graphs/semantic architectures/GraphRAG; AI-ready products/feature stores; ontology-driven integration; cloud/platform partnerships; highly regulated scientific environments.

Skills (Required/Preferred listed)

• Advanced analytics
• critical thinking
• data quality/analysis/reporting/visualization
• data governance & metadata
• data architecture/modeling/product design
• cloud-native platforms
• predictive model development.

Benefits (time off)

• Vacation 120h/yr
• Sick time 40h/yr (48h CO; 56h WA)
• Holiday pay 13 days/yr
• Parental leave 480h (within one year)
• other stated leave options included.