Data Product Architect for AI-Driven Drug Discovery

Scorpion Therapeutics; New Jersey; On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Vacation time

Sick time

Holiday pay incl. floating

Parental Leave

Bereavement Leave

Volunteer Leave

Job summary

Scorpion Therapeutics seeks a senior leader to design and evolve scientific data products for AI-enabled drug discovery and development. You will create scalable data products connecting discovery, preclinical, clinical, safety, and real-world evidence.

Responsibilities include defining integration frameworks (SEND, SDTM, ADaM, MedDRA, omics, imaging), leading AWS deployments, and building data services with provenance and FAIR principles.

Qualifications

• Master’s or PhD in a relevant field as listed.
• 5+ years in scientific data engineering, architecture, or life sciences informatics.
• Experience designing enterprise-scale scientific data products for drug discovery, translational science, or pharmacovigilance.

Responsibilities

• Lead design, implementation, and evolution of scientific data products and integration strategies.
• Define and execute scientific data product strategy across discovery to real-world evidence.
• Lead AWS-deployed implementation strategy with governance and AI readiness.
• Develop curated datasets, feature stores, and metadata products for AI-ready assets.
• Define metadata standards, lineage, and FAIR principles.
• Build predictive AIML models to support translational safety decisions.
• Partner with stakeholders to translate scientific questions into scalable solutions.

Skills

Scientific data engineering

AI/ML in drug discovery

Education

Master’s or PhD in CS, Data Eng, Bioinformatics, Biomedical Informatics, Information Systems, Computational Biology

Tools

GraphRAG

Job description

Scorpion Therapeutics seeks a senior leader to design and evolve scientific data products for AI-enabled drug discovery and development. You will create scalable data products connecting discovery, preclinical, clinical, safety, and real-world evidence.

Responsibilities include defining integration frameworks (SEND, SDTM, ADaM, MedDRA, omics, imaging), leading AWS deployments, and building data services with provenance and FAIR principles.