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

Position Summary

• Lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.
• Create scalable, interoperable, AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence; enable validated-biomarker data assets.
• Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI.
• Build AI reasoning models to support translational safety decision making.

Key Responsibilities

• Define and execute a scientific data product strategy across discovery, translational science, preclinical safety, clinical development, pharmacovigilance, and real-world evidence.
• Design data integration frameworks and harmonization strategies (SEND, SDTM, ADaM, MedDRA, Imaging, Omics, Biomarker, Pathology, Real-world data).
• Lead AWS deployment strategy; partner for scalable pipelines/services.
• Lead development of curated datasets, semantic-ready products, feature stores, metadata products, scientific data services, AI-ready assets.
• Define metadata/quality standards; implement lineage/provenance/traceability and FAIR; monitor quality.
• Build predictive AIML models for translational safety.

Required Qualifications

• Master’s or PhD in CS, Data Engineering, Bioinformatics, Biomedical Informatics, Information Systems, Computational Biology, or related.
• 5+ years in scientific data engineering/architecture/products/life sciences informatics.
• Enterprise-scale scientific data products; experience in drug discovery/development, clinical research, or pharmacovigilance.

Technical/Preferred

• Expertise: data architecture, modeling, product design, cloud-native platforms, metadata management, governance, predictive modeling.
• AWS; data lakes/lakehouses; distributed processing; APIs/services; cataloging/lineage.
• Familiarity: SEND/SDTM/ADaM/MedDRA; preferred FHIR/OMOP/DICOM/biomarker & omics standards.
• Preferred: knowledge graphs/semantic architectures/GraphRAG; AI-ready data products/feature stores; ontology-driven integration; regulated environments.

Preferred Skills

• Advanced Analytics, Critical Thinking, Data Analysis, Data Quality, Data Visualization, Strategic Thinking, Technical Credibility, Process Improvements, Workflow Analysis (plus data privacy standards/reporting/coaching).

Base Pay Range

• $117,000.00 - $201,250.00

Benefits (time off)

• Vacation 120 hrs/yr; Sick 40 hrs/yr (CO:48, WA:56); Holidays 13 days/yr; Work/Personal/Family up to 40 hrs/yr; Parental leave 480 hrs; Bereavement 240 hrs (immediate) / 40 hrs (extended); Caregiver 80 hrs (52-week rolling); Volunteer 32 hrs/yr; Military Spouse Time-Off 80 hrs/yr.