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Research Scientist I​/II, Bioanalytical Sciences & Assay Development

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Iambic
Full Time position
Listed on 2026-09-14
Job specializations:
  • Research/Development
    Research Scientist, Pharmaceutical Science/ Research, Biotech Research, Drug Discovery
Salary/Wage Range or Industry Benchmark: 114000 - 156000 USD Yearly USD 114000.00 156000.00 YEAR
Job Description & How to Apply Below

Job Summary

We are seeking a highly motivated Research Scientist, Bioanalytical Sciences & Assay Development to join our drug discovery team. This scientist will develop and implement mass spectrometry-based assays and bioanalytical workflows supporting Hit Identification (HitID), ADME/DMPK characterization, and physicochemical property assessment. A key focus will be the development and application of MS-based screening approaches for HitID, including Affinity Selection Mass Spectrometry (ASMS) and other MS-based capabilities.

Job Summary

We are seeking a highly motivated Research Scientist, Bioanalytical Sciences & Assay Development to join our drug discovery team. This scientist will develop and implement mass spectrometry-based assays and bioanalytical workflows supporting Hit Identification (HitID), ADME/DMPK characterization, and physicochemical property assessment. This scientist will work at the interface of experimental science, automation, and AI-driven molecular design, generating high-quality data that inform compound optimization and enable rapid design-make-test-learn cycles.

This position will be based in our San Diego Headquarters.

Key Responsibilities
  • Develop and implement MS-based assays and screening workflows for HitID, including ASMS and other MS-based approaches.
  • Develop fit-for-purpose bioanalytical and biochemical assays supporting screening, hit confirmation, and compound characterization.
  • Develop and execute in vitro ADME/DMPK assays, including metabolic stability, permeability, protein binding, and related endpoints.
  • Develop physicochemical property assays, including solubility, logD/lipophilicity, ePSA, and related measurements.
  • Develop and optimize LC-MS/MS bioanalytical methods and troubleshoot assay performance, sensitivity, selectivity, matrix effects, and reproducibility.
  • Develop automated and high-throughput assay workflows to improve capacity, turnaround time, and data quality.
  • Support operation and troubleshooting of MS and LC/MS instrumentation and associated laboratory automation.
  • Generate high-quality experimental datasets that support AI/ML-driven compound design and optimization.
  • Collaborate with biology, screening/HitID, medicinal chemistry, DMPK, and computational/AI teams to design assay strategies and translate experimental results into actionable insights.
  • Evaluate new assay technologies, MS methodologies, automation solutions, and data workflows to expand drug discovery capabilities.
Qualifications
  • Ph.D. in Bioanalytical Chemistry, Mass Spectrometry, Chemical Biology, Drug Metabolism/Pharmacokinetics, Pharmaceutical Sciences, Biochemistry, or a related discipline, with approximately 0-5 years of relevant experience; or an M.S. with significant relevant industry experience.
  • Strong foundation in mass spectrometry, bioanalytical science, and assay development, preferably with hands-on LC-MS/MS experience.
  • Demonstrated experience developing, optimizing, and troubleshooting bioanalytical, biochemical, or screening assays.
  • Strong understanding of quantitative assay design, experimental controls, data quality, and troubleshooting.
  • Strong scientific problem-solving and collaboration skills, with an interest in connecting experimental data with AI/ML-enabled drug discovery and molecular design.
Preferred Qualifications
  • Experience with MS-based screening or HitID approaches, including ASMS or related technologies, is highly desirable.
  • Experience with in vitro ADME/DMPK and/or physicochemical property assays such as solubility, logD, and ePSA is preferred.
  • Experience with SCIEX, Agilent, Thermo, or comparable MS/LC-MS platforms is desirable.
  • Experience with laboratory automation, high-throughput screening/experimentation, or automated data processing is a plus.
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