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Scientist II, DMPK

Immunome, Inc.
Full-time
Remote friendly (Bothell, WA)
United States
$132,274 - $159,338 USD yearly
Clinical Research and Development

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Role Summary

The Scientist II, DMPK will contribute to the design and execution of nonclinical pharmacokinetics/ADME strategies to support oncology drug candidates from discovery through development. This role will partner closely with cross-functional teams to deliver high-quality data that informs decision-making and regulatory submissions. Reporting to the Executive Director, ADME, the Scientist II will work on multiple modalities, with a strong emphasis on ADC programs.

Responsibilities

  • Design and execute stage-appropriate DMPK/ADME studies to support candidate selection, clinical development, and regulatory submissions.
  • Collaborate with cross-functional teams to ensure integration of DMPK considerations into program strategy and timelines.
  • Analyze PK, TK, and PKPD data, perform modeling and simulation, and provide clear interpretation to inform program decisions.
  • Participate in Translational Sciences and Development team activities, contributing scientific expertise in DMPK.
  • Represent the ADME function at internal and external meetings, in collaboration with senior scientists, communicating timelines, data, and implications effectively.
  • Maintain awareness of evolving best practices and regulatory expectations in DMPK sciences.

Qualifications

  • PhD in a relevant discipline with 0–2 years of industry experience in DMPK/ADME, or MS with 5+ years relevant industry experience.
  • Experience with ADCs required; additional experience with small molecules, monoclonal antibodies, or other modalities preferred.
  • Hands-on expertise in PK/TK analysis, PKPD modeling, and study design.
  • Knowledge of both non-regulated and regulated bioanalysis.

Skills

  • Strong problem-solving skills with the ability to manage multiple projects in a fast-paced environment.
  • Excellent communication skills, with the ability to present complex scientific data clearly to diverse audiences.
  • Collaborative approach with the ability to work across disciplines to achieve program goals.
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