Senior Scientist - PKDM (NAMs-Based Translational ADME Sciences)
Amgen
Full-time
Remote friendly (South San Francisco, CA)
United States
Clinical Research and Development
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Role Summary
Senior Scientist - PKDM (NAMs-Based Translational ADME Sciences)
Responsibilities
- Lead the development and qualification of high-fidelity, human-relevant in vitro models, including 3D cultures and microphysiological systems, to assess drug disposition, biotransformation, and pharmacodynamic effects.
- Design and execute experimental strategies that integrate quantitative endpoints, enabling correlation of exposure and response across NAMs and traditional models.
- Advance throughput and data scalability by implementing assay miniaturization, plate-based automation, and high-content imaging workflows.
- Apply deep cell biology expertise to refine parenchymal–stromal co-culture systems and incorporate complementary analytical endpoints to define cellular phenotype and pharmacodynamic response.
- Characterize responses using flow cytometry, multiplexed analytical sampling, confocal microscopy, and live-cell imaging (e.g., Incucyte).
- Adopt computational tools and quantitative data pipelines to streamline analysis of complex kinetic and imaging datasets.
- Collaborate across disciplines to define mechanism-based PK liabilities, support dose selection hypotheses, and guide preclinical-to-clinical translation.
- Communicate findings clearly and effectively to inform cross-functional teams and drive data-driven decision-making in a fast-paced R&D environment.
Qualifications
- Basic Qualifications: Doctorate degree in Biomedical Engineering, Pharmacology, Systems Biology, Cellular & Molecular Biology, Biophysics, or a related discipline (and relevant post-doc where applicable); or Master’s degree and 3 years of relevant industry experience; or Bachelor’s degree and 5 years of relevant industry experience.
- Preferred Qualifications:
- 2+ years of postdoctoral or industry experience applying 3D cellular or microphysiological systems to study drug disposition or disease biology.
- Demonstrated experience in cell model and/or MPS device fabrication, culture, and integration with analytical readouts.
- Working understanding of pharmacokinetic principles for small and large molecules and of preclinical ADME processes (absorption, distribution, metabolism, and excretion).
- Familiarity with bioanalytical and imaging techniques supporting quantitative in vitro pharmacology.
- Strong communication, data interpretation, and collaboration skills; ability to synthesize complex data into actionable insights for multidisciplinary project teams.
- Demonstrated ability to innovate, adapt, and deliver in a dynamic research environment.
Skills
- 3D organoid and microphysiological system platforms
- In vitro pharmacology assays, flow cytometry, imaging, and data analysis
- Quantitative data integration across NAMs and traditional models
- Co-culture system design and biomarker endpoints
- Computational data pipelines and statistical interpretation