Postdoctoral Research Fellow - Quantitative Pharmacology and Pharmacometrics- Hybrid

Be a part of the legacy: Postdoctoral Research Fellow Program

Our Research Laboratories’ Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery.

Position Overview:

The Quantitative Pharmacology and Pharmacometrics (QP2) Department of our company's Research Laboratories in West Point, PA is seeking a curious and collaborative Postdoctoral Scientist with a strong interest in developing quantitative models to enable the field of HIV treatment and prophylaxis. Developing new HIV therapies (oral and injectable) require a deep understanding of in vitro and preclinical translation to the clinical targets and subsequently the clinical success of the therapy. The project will focus on analyzing available in vitro, preclinical and clinical PK data and creating relevant mathematical models such as model based meta-analysis, viral dynamics modeling, population PK analysis and/or PKPD analysis to assess trends and translation. The relevant models and recommendations would be impactful in various aspects including lead compound selection, efficacy projection, long term safety consideration, updating our understanding of exposure-response, and selecting relevant partners for combination treatment for HIV.

As a Postdoctoral Research Fellow in Quantitative Pharmacology and Pharmacometrics, you will work with a collaborative team of scientists in quantitative pharmacology, discovery, and quantitative biology. All Postdoctoral Research Fellow work with a dedicated mentor, collaborate with experienced scientists, and are fully integrated into the larger Quantitative Pharmacology and Pharmacometrics group.

Responsibilities include but are not limited to:

Curate literature (either by self or in collaboration with external collaborators) to inform and develop key datasets needed for analysis

Apply various modeling techniques to address translational questions for HIV drug development

Collaborate across the scientific network within our company's laboratories

Invest in your professional and scientific development

Attend and actively participate in internal and external scientific symposiums and meetings/seminars

Write and review publications and manuscripts

Education Minimum Requirement:

Candidates must currently hold a PhD or will you have completed your PhD within the next year

Degree in statistics / biostatistics, mathematics / applied mathematics, computational biology / chemistry, pharmacokinetics (PK) and pharmacodynamics (PD), pharmaceutics, chemical / biomedical engineering, or a related field.

Required/Desired Experience and Skills:

Skills in experimental design, mathematical problem solving, critical data analysis/interpretation, or statistics

Mathematical [or mechanistic] modeling using R, Matlab, or other similar programing language

Experienced with data interpretation/analysis, mathematical modelling

Scientific writing (demonstrated by publication record) and verbal skills. 

Preferred Experience and Skills:

Experience with tackling problems in new field of research

HIV disease area understanding

Model based meta-analysis (MBMA), Population pharmacokinetic (PopPK), viral dynamics modeling (VDM) and/r pharmacokinetic-pharmacodynamic (PKPD)

Experience working in multidisciplinary teams that include clinicians and biologists.