Postdoctoral Fellow, Quantitative Systems Pharmacology

At Pfizer, we apply science and our global resources to bring therapies to people that extend and significantly improve their lives. We strive to set the standard for quality, safety and value in the discovery, development and manufacture of health care products.

We seek a highly motivated individual with Ph.D. in systems biology/pharmacology modeling, biochemical engineering or other related field and a demonstrated track record in scientific publication. The postdoctoral fellow will be located in Cambridge (MA), a world-class center of pharmaceutical and biotech research. The individual will build quantitative systems pharmacology model(s) to yield an understanding of how inhibition of Janus Kinase (JAK) pathways correlates with efficacy and safety observations and to inform target selection and clinical trial design. The individual will work in a highly stimulating and multi-disciplinary environment and will have interactions with biologists, precision medicine scientists, clinical pharmacologists, clinicians and systems pharmacology modelers. In addition to building computational models, the individual will also have an opportunity to influence experimental designs towards data generation.

* Create a multi-scale systems model describing inhibition of JAK pathways based on literature data and in-house information * Develop linkage between in vitro JAK selectivity and resulting in vivo biomarker responses * Apply data mining tools to obtain information on intracellular pathways relevant to inflammatory diseases * Identify relevant data (in-vitro, in-vivo preclinical and clinical trial data) for model identification, optimization, and validation * Design experiments aimed towards generating data for model validation and testing of relevant hypotheses * Effectively communicate model results and outcomes to scientists in non-quantitative disciplines * Write scientific publications and present at internal and external scientific meetings

* Ph.D. degree in mathematics, engineering or other disciplines related to quantitative pharmacology or equivalent experience with a strong emphasis on biopharmaceutical modeling and simulation. * Previous experience in building systems biology/pharmacology models, including ordinary differential equation (ODE) based models is required.