More jobs:
Principal Scientist, Data Science; Data Products, Integration & Analysis
Job in
Horsham, Montgomery County, Pennsylvania, 19044, USA
Listed on 2026-08-30
Listing for:
Scorpion Therapeutics
Full Time
position Listed on 2026-08-30
Job specializations:
-
IT/Tech
Data Engineering, Data Scientist
Job Description & How to Apply Below
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.
- 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.
- 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.
- Knowledge graphs/semantic architectures/GraphRAG; AI-ready products/feature stores; ontology-driven integration; cloud/platform partnerships; highly regulated scientific environments.
- Advanced analytics
- critical thinking
- data quality/analysis/reporting/visualization
- data governance & metadata
- data architecture/modeling/product design
- cloud-native platforms
- predictive model development.
- 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.
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