Senior Manager, Quantitative Systems Pharmacology

Описание вакансии

As a Quantitative Systems Pharmacologist, your main role will be in scoping, developing and applying mechanistic disease progression and systems pharmacology models at Gilead. In this role, you will have opportunities to inform multiple aspects of the drug development process including optimizing drug candidates through mechanistic simulation, dose/target optimization, identifying biomarkers for clinical programs, and recommending doses, regimens and subpopulations for inclusion into clinical trial design. Further areas of focus include reverse translation of clinical findings and development of platform models to support combinations and inform portfolio development strategy.

Responsibilities

• Develop QSP models for one or more disease areas incorporating available in-house and published data
• Regularly communicate with cross-functional teams to develop and periodically update modeling strategy to ensure timely and impactful execution of modeling goals
• Present model findings to clinical teams and incorporate feedback as needed
• Provide expert guidance across teams as needed
• Contribute to regulatory documents using the appropriate level of documentation and reproducibility
• Maintain accurate records including data, assumptions, parameter values, model changes, etc. while developing models
• Proactively identify opportunities for applying or adapting QSP models to support portfolio and project needs
• Develop and maintain reusable software tools as needed to support and streamline QSP efforts
• Author manuscripts describing model development and findings as needed
• Present modeling work externally at conferences and working groups
• Mentor junior scientists on areas related to QSP, if needed

Required Experience and Skills:

• Proficiency in mathematical and computational skills needed for QSP modeling work, including but not limited to ordinary differential equations, linear algebra, statistics, optimization, and parameter inference
• Relevant education in computational/systems biology, physics, engineering, or computer science
• Proficiency in relevant software and programming languages which may include python, R, C++, Julia, or MATLAB and MATLAB SimBiology (preferred)
• Basic understanding of molecular and cellular biology including for example concepts from immunology, oncology, virology, cellular signaling, etc.
• Basic understanding of concepts of drug development
• 3+ years of relevant experience and a PhD or PharmD degree

Preferred skills:

• Experience with QSP software and Bioinformatics tools for informing QSP models
• Familiarity with other modeling techniques: ABMs, PDEs, SDEs, SSA, graph theoretical methods, information theoretical methods, Boolean networks, etc.
• Familiarity with methodologies for Bayesian parameter inference
• Expert knowledge in one or more relevant disease areas (oncology, inflammation, virology)
• Machine learning and AI expertise (LLMs, classical methods for regression or classification)
• Application development experience (e.g. in MATLAB AppDesigner)
• Experience with pharmacokinetic/pharmacodynamic modeling in small molecules and biologics or other pharmacometric modeling experience
• Familiarity with drug development and clinical pharmacology in a pharmaceutical company setting