Lead Data Science Products for AI-Driven Drug Discovery

Scorpion Therapeutics; Horsham (PA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Vacation time

Sick leave

Parental leave

Job summary

Scorpion Therapeutics is seeking a senior data product leader to design and evolve AI-ready data products for drug discovery and development. You will connect discovery, preclinical, clinical, safety, and real-world evidence through scalable data architectures and semantic reasoning.

Collaborating with scientists, knowledge architects, AI engineers, and platform teams, you will drive governance, provenance, and FAIR data practices while delivering predictive models to support translational

Qualifications

• Master’s or PhD in CS/Data Engineering/Bioinformatics/Computational Biology or related field.
• 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.

Responsibilities

• Define and execute data product strategy across discovery to real-world evidence.
• Design integration frameworks (SEND/SDTM/ADaM/MedDRA/Imaging/Omics).
• Lead AWS deployment strategy; ensure security/governance/AI-readiness.
• Develop curated datasets, feature stores, semantic-ready data products, and AI-ready assets.
• Define metadata standards; implement lineage/provenance/traceability and FAIR; monitor quality.
• Build predictive AIML models for translational safety decision making.

Skills

Advanced analytics

Critical thinking

Data quality/analysis/visualization

Data governance & metadata

Data architecture/modeling/product

Cloud-native platforms

Predictive model development

Education

Master’s or PhD in CS/Data Engineering/Bioinformatics/Computational Biology

Job description

Scorpion Therapeutics is seeking a senior data product leader to design and evolve AI-ready data products for drug discovery and development. You will connect discovery, preclinical, clinical, safety, and real-world evidence through scalable data architectures and semantic reasoning.

Collaborating with scientists, knowledge architects, AI engineers, and platform teams, you will drive governance, provenance, and FAIR data practices while delivering predictive models to support translational