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

Scorpion Therapeutics; Spring House (PA); On-site; USD 117,000 - 201,000; Full time

Benefits offered by this job

Vacation 120 hrs/yr

Parental leave 480 hrs

Job summary

Scorpion Therapeutics in Spring House, PA, seeks a leader to shape scientific data products for AI-enabled drug discovery and development. You will design interoperable data assets connecting discovery, preclinical, clinical, safety, and real-world evidence, and build AI-ready data services, knowledge graphs, and feature stores.

Collaborate across teams to standardize metadata, governance, and FAIR data principles.

Qualifications

• Master’s or PhD in CS, data engineering, bioinformatics, biomedical informatics, or related fields.
• 5+ years in scientific data engineering, architecture, products, or life sciences informatics.
• Experience delivering enterprise-scale scientific data products for drug discovery or pharmacovigilance.

Responsibilities

• Define and execute a scientific data product strategy across discovery to real-world evidence.
• Design data integration frameworks and harmonization standards (SEND/SDTM/ADaM).
• Lead AWS deployment strategy and scalable data pipelines.
• Develop curated datasets, semantic-ready products, and feature stores.
• Establish metadata quality, lineage, and FAIR principles; monitor data quality.
• Build predictive AI/ML models to support translational safety decisions.

Skills

Data engineering

Data architecture

Life sciences informatics

Drug discovery

Education

Master's or PhD in CS/Data Eng/Bioinformatics

Tools

AWS

Data lakes/lakehouses

SDTM/ADaM/MedDRA

Job description

Position Summary

• Lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.
• Create scalable, interoperable, AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence; enable validated-biomarker data assets.
• Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI.
• Build AI reasoning models to support translational safety decision making.

Key Responsibilities

• Define and execute a scientific data product strategy across discovery, translational science, preclinical safety, clinical development, pharmacovigilance, and real-world evidence.
• Design data integration frameworks and harmonization strategies (SEND, SDTM, ADaM, MedDRA, Imaging, Omics, Biomarker, Pathology, Real-world data).
• Lead AWS deployment strategy; partner for scalable pipelines/services.
• Lead development of curated datasets, semantic-ready products, feature stores, metadata products, scientific data services, AI-ready assets.
• Define metadata/quality standards; implement lineage/provenance/traceability and FAIR; monitor quality.
• Build predictive AIML models for translational safety.

Required Qualifications

• Master’s or PhD in CS, Data Engineering, Bioinformatics, Biomedical Informatics, Information Systems, Computational Biology, or related.
• 5+ years in scientific data engineering/architecture/products/life sciences informatics.
• Enterprise-scale scientific data products; experience in drug discovery/development, clinical research, or pharmacovigilance.

Technical/Preferred

• Expertise: data architecture, modeling, product design, cloud-native platforms, metadata management, governance, predictive modeling.
• AWS; data lakes/lakehouses; distributed processing; APIs/services; cataloging/lineage.
• Familiarity: SEND/SDTM/ADaM/MedDRA; preferred FHIR/OMOP/DICOM/biomarker & omics standards.
• Preferred: knowledge graphs/semantic architectures/GraphRAG; AI-ready data products/feature stores; ontology-driven integration; regulated environments.

Preferred Skills

• Advanced Analytics, Critical Thinking, Data Analysis, Data Quality, Data Visualization, Strategic Thinking, Technical Credibility, Process Improvements, Workflow Analysis (plus data privacy standards/reporting/coaching).

Base Pay Range

• $117,000.00 - $201,250.00

Benefits (time off)

• Vacation 120 hrs/yr; Sick 40 hrs/yr (CO:48, WA:56); Holidays 13 days/yr; Work/Personal/Family up to 40 hrs/yr; Parental leave 480 hrs; Bereavement 240 hrs (immediate) / 40 hrs (extended); Caregiver 80 hrs (52-week rolling); Volunteer 32 hrs/yr; Military Spouse Time-Off 80 hrs/yr.