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Senior Scientist, Quantitative Pharmacology and Pharmacometrics

Job in Plainsboro, Middlesex County, New Jersey, 08536, USA
Listing for: Genmab
Full Time position
Listed on 2026-08-14
Job specializations:
  • Science
    Data Scientist, Research Scientist
Job Description & How to Apply Below
Location: Plainsboro

Senior Scientist, Quantitative Pharmacology and Pharmacometrics

At Genmab, we are dedicated to building extraordinary futures, together, by developing antibody products and groundbreaking antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.

Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.

Does this inspire you and feel like a fit? Then we would love to have you join us!

The Senior Scientist, Quantitative Pharmacology and Pharmacometrics will contribute, under guidance, clinical pharmacology and pharmacometrics expertise to research and development programs, working closely with cross-functional program teams. In this role, the scientist will support the development, validation, execution, and interpretation of population PK, exposure-response, PK-PD, PBPK, time-to-event, survival, and disease progression modeling analyses to inform dose selection, regimen optimization, clinical trial design, and model-informed drug development across Genmab's pipeline.

This is an exciting opportunity to be part of a passionate, high-profile, high-impact Clinical Pharmacology & Quantitative Science team, and to work in a highly dynamic and collaborative setting, with opportunities for professional development.

Work arrangement:
This role offers flexibility to work away from the office for 20%–40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager.

Responsibilities:

  • Plan, conduct, document, and quality-check routine pharmacometrics analyses under guidance from senior team members.
  • Contribute to the development, validation, execution, and interpretation of population PK, exposure–response, PK-PD, PBPK, time-to-event, survival, disease progression models to support dose selection, regimen optimization, and trial design.
  • Prepare model code, diagnostics, tables, figures, reports, and presentations in a reproducible and well-documented manner.
  • Communicate the pharmacometrics analysis results to program teams to support data-driven decision making process.
  • Contribute quantitative clinical pharmacology and pharmacometrics content for regulatory submissions, including INDs, CTAs, and BLAs, and support responses to agency questions on modeling and simulation deliverables.
  • Support the advancement of quantitative clinical pharmacology and pharmacometrics capabilities, including model-informed drug development approaches, tools, workflows, and best practices.

Requirements:

  • PhD in Clinical Pharmacology, Pharmacokinetics, Pharmaceutical Science or related discipline.
  • Approximately 2+ years of relevant experience applying quantitative methods to drug development questions;
    Relevant academic, internship, postdoctoral, or industry experience may be considered.
  • Hands-on experience with pharmacometrics and data analysis tools such as NONMEM, Monolix, R, or similar software.
  • Ability to work with clinical and nonclinical data, perform model diagnostics, and generate clear, reproducible analyses.
  • Understanding of antibody therapeutics development, oncology, or immunology is considered beneficial.
  • Excellent written, verbal, and interpersonal communication skills, with the ability to explain quantitative concepts to multidisciplinary audiences.
  • Strong problem-solving skills, scientific curiosity, attention to detail, and the ability to thrive in a collaborative, fast-paced biotechnology environment.

For US based candidates, the proposed salary band for this position is as follows:

$---$

The actual salary offer will carefully…

Position Requirements
10+ Years work experience
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