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Senior Data Scientist, Biologics Discovery

Job in Newark, Essex County, New Jersey, 07175, USA
Listing for: Scorpion Therapeutics
Full Time position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 109000 - 174800 USD Yearly USD 109000.00 174800.00 YEAR
Job Description & How to Apply Below

Senior Data Scientist (Biologics Discovery)
Position Summary

  • Design featurization and dataset curation for antibody/protein sequence, constructs, assay, and biophysical data.
  • Build and evaluate applied ML models; define evaluation frameworks to keep models trustworthy.
  • Collaborate with data-infrastructure partners and In Silico Discovery (ISD) to strengthen ISD’s molecular property models.
Key Responsibilities
  • Develop featurization and model-ready datasets.
  • Specify features/labels/aggregation levels with data engineers; preserve raw representations.
  • Curate, document, and version datasets for reproducibility and traceability.
  • Partner with ISD on standardized, traceable training datasets; align on DS vs. ISD ownership.
  • Frame ML problems around decision points in the DMTL cycle.
  • Work with ontology and MLOps teams to ensure consistent semantics and reliable model deployment.
  • Champion reproducibility, documentation, and responsible AI.
Qualifications Required
  • M.S. or Ph.D. in CS/ML/Computational Biology/Bioinformatics/Statistics or related field.
  • 2+ years applied ML (model development/evaluation/dataset curation) on complex scientific/biomedical data.
  • Proficiency in Python (PyTorch, scikit-learn) and SQL.
  • Experience converting heterogeneous experimental data into robust features/training sets; exposure to cloud training/data infrastructure.
  • Understanding of evaluation/validation, leakage, and distribution shift.
  • Ability to collaborate in a matrixed R&D environment.
Preferred
  • Biologics, antibody/protein sequence models, or protein language models.
  • Active learning, Bayesian optimization, or sequence-based generative models.
  • Familiarity with assay/biophysical data and develop ability endpoints.
  • MLOps, experiment tracking, model monitoring.
  • Ontologies/knowledge graphs for AI-ready datasets.
Benefits/Compensation (as stated)
  • Base pay range: $109,000–$174,800; annual performance bonus eligibility; medical/dental/vision/life and disability/other listed insurance.
  • Pension and 401(k) eligibility.
  • Vacation up to 120 hours/year; sick time up to 40 hours/year; holiday/floating holidays up to 13 days/work-personal-family time up to 40 hours/year.
Locations
  • Spring House, PA (strongly preferred), Titusville, NJ, or Raritan, NJ, USA; or Madrid, Spain. No remote option.
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Position Requirements
10+ Years work experience
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