Senior Scientist I - PK/PD modeling

Company: AbbVie
Location: South San Francisco
Posted on: February 26, 2026

Job Description:

Company Description About AbbVie AbbVie'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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description The Quantitative, Translational and ADME Sciences (QTAS) group issearching for a Senior Scientist to provide mechanistic and translational modeling and project support in all disease areas, informing decision-makingfor primarilylarge, but also smallmolecule projects from discovery through theearly stagesof clinical development. The candidate willestablishinnovative translational modeling approaches, such as mechanistic PK/PD or systems modeling, across disease and therapeutic areas, as well as provideQTASproject support enabling translation of assets from Discovery into early Development.The position requires close collaboration with Discovery and Development project teams, clinical pharmacology, and other stakeholders, to develop and execute QTAS and PK/PD strategies necessary tofacilitatethe advancement of our pipeline. Key Responsibilities: Develop and implement innovative, quantitative analyses and strategies for translational modeling across Discovery and Development projects Liaise with Discovery biology, pharmacology, toxicology, biomarker,QTASand clinical scientists to generate data and knowledge supporting the generation and implementation of translational models Establish andmaintaineffective collaborations with key peer andteam stakeholders withinQTAS, Discovery andClinical tofacilitateknowledge and data integration for target prioritization, biomarker selection, candidate selection, guidance in (pre)clinical study design, human dosepredictionand calculation of therapeutic index Effectively communicate on strategies related todrug metabolism and pharmacokinetics (DMPK)and translational modeling and simulation Maintain awareness of emerging literature and science in computational approaches and applications Qualifications Qualifications Bachelors (B.S.), Masters (M.S.), or Doctorate (Ph.D.) in in chemical, mechanical, or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or a related field, with at 10 years of experience and Bachelors Degree, OR 8 years of experience and Masters Degree., or Ph.D.and no experience necessary. Hands-on experience with relevant modeling software and programming languages including MATLAB/SimBiology, R, Python, WinNonLin/Phoenix, etc. is required Understanding of small or large molecule drug modalities and relevant analytical methods for measuring drug and biomarker levels in preclinical and clinical study samples is highly desired Passion for data analysis, solving technical problems and applying new technologies to further scientific goals and answer key scientific questions enabling informed decision-making Publication record demonstrating PK/PD or systems modeling examples is highly desired Highly-motivated, self-driven and results-oriented person with excellent communication and presentation skills, capable of both leading and being lead High degree of flexibility in adapting to different projects and personalities as well as excellent networking and relationship-building skills (both internal and external) required Must have strong communication skills and the ability to effectively communicate with both internal and external stakeholders, and to audiences of diverse backgrounds Prior experience in an experimental in vitro or in vivo biology field is desired Interest in developing skills to support projects as a QTAS project representative in future is highly desired Preferred Qualifications: Doctorate (Ph.D.) in chemical, mechanical, or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or a related field, with 1-3 years of pharmaceutical industry experience Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law: The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemay ultimatelypay more or less than the posted range. This range may be modified in thefuture. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees. This job is eligible to participate in our short-term incentiveprograms. Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employee remains in the Company's sole andabsolutediscretion unless and until paid andmay be modified at the Companys sole and absolute discretion, consistent withapplicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

Keywords: AbbVie, Richmond , Senior Scientist I - PK/PD modeling, Science, Research & Development , South San Francisco, California