Senior Scientist I (PK/PD Modeling)

Role Summary

Senior Scientist to provide mechanistic and translational modeling and project support in the QTAS group across disease areas, informing decision-making for primarily large but also small molecule projects from discovery through early development. Establish innovative translational modeling approaches, such as mechanistic PK/PD or systems modeling, and collaborate with Discovery, Development, and clinical pharmacology to translate assets from Discovery into early Development.

Responsibilities

• Develop and implement innovative, quantitative analyses and strategies for translational modeling across Discovery and Development projects
• Liaise with Discovery biology, pharmacology, toxicology, biomarker, QTAS 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 QTAS, 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 drug metabolism and pharmacokinetics (DMPK) and translational modeling and simulation
• Maintain awareness of emerging literature and science in computational approaches and applications

Qualifications

• Required: Bachelor’s, Master’s, or Doctorate in chemical, mechanical, or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or related field, with 10+ years of experience with a Bachelor’s, or 8+ years with a Master’s, or Ph.D. with no experience necessary
• Required: Hands-on experience with modeling software and programming languages including MATLAB/SimBiology, R, Python, WinNonLin/Phoenix, etc.
• Required: Understanding of small or large molecule drug modalities and relevant analytical methods for measuring drug and biomarker levels in preclinical and clinical samples
• Required: Passion for data analysis, solving technical problems and applying new technologies to advance scientific goals and enable informed decision-making
• Preferred: Publication record demonstrating PK/PD or systems modeling examples
• Preferred: Experience leading and collaborating across cross-functional teams with strong communication and presentation skills
• Preferred: Experience in experimental in vitro or in vivo biology
• Preferred: Interest in developing skills to support projects as a QTAS project representative in the future

Skills

• Proficiency with quantitative translational modeling approaches (PK/PD, systems pharmacology)
• Strong collaboration and communication skills across disciplines (Discovery, Clinical, DMPK)
• Data integration and knowledge generation to support target prioritization, biomarker selection, and study design
• Ability to translate complex modeling concepts to diverse audiences

Education

• Bachelors (B.S.), Masters (M.S.), or Doctorate (Ph.D.) in chemical, mechanical, or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or related field