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Principal Research Scientist - Modeling and Simulation

Job in Irvine, Orange County, California, 92713, USA
Listing for: ISoP Weekly Digest
Full Time position
Listed on 2026-01-27
Job specializations:
  • Research/Development
    Research Scientist, Clinical Research, Data Scientist
  • Healthcare
    Clinical Research, Data Scientist
Job Description & How to Apply Below

Overview

Abb Vie s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit  Follow X, Facebook, Instagram, You Tube, Linked In and Tik Tok.

Principal

Research Scientist – Modeling and Simulation

The Principal Research Scientist – Modeling and Simulation is an onsite role based out of our Irvine, CA location. As a member of multidisciplinary teams, this individual will contribute both Pharmacokinetic and Modeling and Simulation (M&S) expertise to lead efforts to build in silico drug models that describe the relationship(s) between exposure (drug, antibody, biomarker) and response (pharmacodynamic) for both desired and undesired effects.

These models will support formulation development as well as early-stage clinical development activities utilizing various sources of data from both nonclinical models and humans. This scientist should be proactive, inquisitive, a self-starter who is eager to learn and thrives in a fast pace and independent environment, with a desire to interact as a modeling and simulation expert with matrix project teams.

Specific responsibilities include:

  • Apply PK and PK/PD modeling/simulation to guide the design and execution of in vivo preclinical animal experiments and/or early-stage clinical trials.
  • Identify opportunities to apply and develop modeling and simulation strategies across the R&D portfolio, with a focus on ophthalmology and aesthetics/dermatology.
  • Integrate M&S knowledge to contribute to optimizing translational sciences strategies.
  • Analysis of PK/PD data, both clinical and nonclinical, through the use of sophisticated mathematical and statistical modeling and simulation tools to support dose selection, study design and proof-of-concept.
  • Identify and monitor vendors and consultants or engage internal resources as appropriate to meet project deliverables.
  • In collaboration with other stakeholders, conduct and integrate data analyses and summarize modeling outcomes to support IND, CTA, IMPD, NDA, and BLA filing and regulatory correspondences.
  • Exploratory analyses and non-conventional modeling beyond systemic drug development with a focus on locally-administered/acting products.
  • Maintain awareness of current technologies in PK/PD and PBPK modeling.
  • Develop close and effective partnerships with other nonclinical and clinical pharmacology/PKPD and biomarker scientists, safety scientists, research scientists, clinicians and project teams.
  • Design and provide scientific oversight of preclinical PK/TK studies
  • At project level, establish and maintain effective collaborations with key stakeholders to facilitate data integration for biomarker selection, candidate nomination/selection, and human dose prediction
Qualifications
  • BS with typically 14+ years of experience OR MS with typically 12+ years of experience OR PhD with typically 6+ years of experience in Pharmaceutical Sciences, Quantitative Pharmacology, Biomedical/Chemical Engineering, Pharmacometrics or related field
  • 2+ years of experience in PK/PD modeling & simulation, quantitative pharmacology, and/or applied population PK in the pharmaceutical industry.
  • Academic and/or industry experience in either physiologically-based pharmacokinetic (PBPK) modeling or population PK/PKPD modeling.
  • Strong knowledge of biology (mechanism of action)/pharmacology, clinical immunology, protein sciences, statistics, and pharmaceutical development
  • Ability to learn new areas of biological sciences and build on solid foundation of quantitative skills to develop models.
  • Data manipulation and programming skills and ideally with the use of programs such as SAS, R, S+ or similar programs.
  • Experience using Phoenix WNL, Gastro Plus, and Sim Cyp
  • Scientific publications in area of specialization.
  • Effective written and verbal communication skills.
  • Strong ability to collaborate with others.
  • Ability to keep…
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