Sr. Principal Scientist - Computational Biology

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.

As part of the Computational Sciences Center of Emphasis, apply and develop advanced analysis and mining approaches of large-scale 'omics and genetics data to inform target selection for the treatment of inflammation and/or autoimmune disease. In addition to performing computational analyses of complex multidimensional data sets, the successful candidate will be responsible for designing pre-clinical experiments, working with counterparts in the Research Unit, with the shared goal of discovering novel and differentiated therapeutic agents.

* Deliver computational analyses of high-dimensional data sets from model systems, molecular profiling data, and clinical trials to identify novel targets through the translation of bioinformatics data. * Design preclinical laboratory experiments to test hypotheses/insights from complex multidimensional data analyses to inform target selection * Partner with senior leadership in Inflammation and Immunology Research Unit to devise strategies for impactful computational efforts, consistent with the RU priorities and needs. * Manage computational project teams to deliver agreed-upon analyses and experimental designs in a timely fashion * Propose and lead external collaborations that secure access to innovative computational methodologies and/or relevant data sets to advance our ability to understand disease pathophysiology from large-scale molecular and phenotypic data

**EDUCATION AND EXPERIENCE:** * PhD in Computer Science, Applied Mathematics, Biological Sciences, relevant natural sciences required, 4-7 years relevant experience applying quantitative approaches to solving biological problems, ideally in a pharmaceutical, biotech or comparable context. * TECHNICAL SKILLS REQUIREMENTS: * Strong background in human biology/medicine with knowledge of disease pathophysiology for inflammation and immunology. * Demonstrated experience in design, execution and interpretation of in vivo and/or in vitro biological experiments. * Demonstrated expertise in delivering insights/hypotheses from complex multi-dimensional biological data in a biomedical context. * Demonstrated experience applying computational approaches to deliver insights/hypotheses, e.g. multivariate, Bayesian and machine learning approaches. * Pharmaceutically relevant experience or formal training in computational chemistry/biology, computer science or medicine * Demonstrated ability for sound experimental design for in-silico experimentation/workflows required, in addition to ability to effectively interface with Research Unit biologist to communicate/discuss results, ideas, and follow-up experiments. * In depth knowledge of relevant public and proprietary databases, methods and tools. * Exceptional communication skills (oral and written) as demonstrated by publications & presentations.