About AbbVie AbbVie’s mission is to discover and deliver innovative medicines 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, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. Senior Scientist, Quantitative Translational Pharmacology The Quantitative Translational Pharmacology (QTP) group within Drug Metabolism, Pharmacokinetics & Bioanalytics (DMPK-BA) is searching for a Senior Scientist I/II to provide mechanistic and translational modeling and project support in all disease areas, informing decision-making in both small and large molecule projects from discovery through the early stages of clinical development. The candidate will establish innovative translational modeling approaches, such as mechanistic PK/PD or systems modeling, across disease and therapeutic areas, as well as provide DMPK-BA project support enabling translation of assets from Discovery into early Development. 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, DMPK-BA and clinical scientists to generate data and knowledge supporting the generation and implementation of translational models Establish and maintain effective collaborations with key peer and team stakeholders within DMPK-BA, Discovery and clinical to facilitate knowledge and data integration for target prioritization, biomarker selection, candidate selection, guidance in (pre)clinical study design, human dose prediction and calculation of therapeutic index Effectively communicate on strategies related to DMPK and translational modeling and simulation Maintain awareness of emerging literature and science in computational approaches and applications Qualifications Basic 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 least 10+ (B.S.), 8+ (M.S.), or 0+ (Ph.D.) years of pharmaceutical industry experience 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 Publication record demonstrating PK/PD or systems modeling examples is highly desired Must have strong communication skills and the ability to effecttively communicate with both internal and external stakeholders, and to audiences of diverse backgrounds 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 Passion for data analysis, solving technical problems and applying new technologies to further scientific goals and answer key scientific questions enabling informed decision-making Additional prior experience in an experimental in vitro or in vivo biology field is desired Preferred Qualifications: Doctorate (Ph.D.) in chemical, mechanical, or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or a related field, with at least 0-4 years of pharmaceutical industry experience Key Leadership Competencies: Builds strong relationships with peers and cross-functionally with partners outside of team to enable higher performance Learns fast, grasps the "essence" and can change course quickly when necessary Raises the bar and is never satisfied with the status quo Creates a learning environment, open to suggestions and experimentation for improvement Embraces the ideas of others, nurtures innovation and manages innovation to reality Significant Work Activities N/A Travel No Job Type Experienced Schedule Full-time Job Level Code IC Equal Employment Opportunity At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.