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

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

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.

Key Responsibilities

• - Define and execute scientific data product strategy across discovery research, translational science, preclinical safety, clinical development, pharmacovigilance, and real-world evidence.
• - 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.

Required Qualifications

• - Master’s or PhD in CS, Data Engineering, Bioinformatics, Biomedical Informatics, Information Systems, Computational Biology, or related discipline.
• - 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.

Preferred Qualifications

• - Knowledge graphs/semantic architectures/GraphRAG; AI-ready data products/feature stores; ontology-driven integration.
• - Partnering with cloud providers/external platform teams; regulated scientific environments.

Benefits (time off)

• - Vacation (120 hrs/yr); Sick time (40 hrs/yr; CO 48; WA 56); Holiday pay incl. floating (13 days/yr); Work/Personal/Family Time (up to 40 hrs/yr); Parental Leave (480 hrs/1 year); Bereavement Leave (240 hrs immediate family; extended 40 hrs/yr); Caregiver Leave (80 hrs/52-week period); Volunteer Leave (32 hrs/yr); Military Spouse Time-Off (80 hrs/yr).