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Scientist Preclinical Model Jobs (NOW HIRING)

Halozyme

Senior Principal Scientist 1

San Diego, CA · On-site

The Senior Principal Scientist 1 brings expertise in subcutaneous (SC) drug delivery and familiarity with preclinical models in both large and small animals. They engage with several Halozyme ...

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Scientist Preclinical Model information

What is the difference between Scientist Preclinical Model vs Research Scientist?

AspectScientist Preclinical ModelResearch Scientist
Required credentialsTypically requires a PhD in life sciences or related fieldUsually requires a PhD or Master's degree in a relevant discipline
Work environmentLaboratories focused on animal models and preclinical testingVaried settings including labs, academia, or industry research
Employer and industry usagePharmaceutical, biotech, and research institutionsUniversities, research institutes, and industry

The Scientist Preclinical Model specializes in developing and testing animal models for drug development, while the Research Scientist conducts broader scientific investigations across various fields. Both roles require advanced degrees and laboratory expertise, but their focus areas and work environments differ significantly.

What are popular job titles related to Scientist Preclinical Model jobs?

For Scientist Preclinical Model jobs, the most frequently searched job titles are:

Infographic showing various Scientist Preclinical Model job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

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

Spring House, PA • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

$117K - $201K/yr

Other

PTO

Posted 11 days ago

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.
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