Principal Scientist, Data Science (Data Products, Integration & Analysis)
Scorpion Therapeutics
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.
- Design integration/harmonization frameworks (SEND, SDTM, ADaM, MedDRA, imaging, omics, biomarker, pathology, real-world data).
- Lead AWS-deployed implementation strategy; ensure alignment with enterprise architecture, security, governance, and AI readiness.
- Develop curated/semantic-ready datasets, feature stores, metadata products, scientific data services, and AI-ready assets; define onboarding/transformation/validation/publication patterns.
- Define metadata/data quality standards; implement lineage/provenance/traceability and FAIR principles.
- Build predictive AIML models to support translational safety decision-making.
- Partner with scientific and technical stakeholders to translate scientific questions into scalable solutions.
- 5+ years in scientific data engineering/architecture/products or life sciences informatics.
- Experience designing enterprise-scale scientific data products; supporting drug discovery/development, clinical research, or pharmacovigilance.
- Experience developing predictive models in those domains.
Vacancy posted 2 days ago
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New York, NY3 days ago
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