Senior Principal Scientist, Computational Biology, Biomedical Informatics
Pfizer's Worldwide Medical and Safety is looking for a transdisciplinary Biomedical Informatics Scientist with a specialty in Omics and Genetics to provide leadership in projects focused on population health, precision medicine, genomics, disease drivers that contribute to health disparities and outcomes. The incumbent will work closely with WMS leadership and scientists to deliver high quality data analysis, in a variety of therapeutic areas within the Institute of Translational and Equitable Medicine (ITEM). ITEM spans three key dimensions: Science, Development, and Medical, and leverages science, large scale data sets, and translational expertise to close gaps in health disparities and outcomes. In addition to data analysis the incumbent will support the development of proposals, internal documents and external publications. The ideal candidate will have broad expertise in working with large-scale data sets covering disease target identification, advanced data analysis, gene signatures, omics, biomarkers multi-cohort analysis and computational science.
Drive projects that require expertise in GWAS, Omics, genetic profiling and large data sets.
Collaborate and partner closely with cross-functional leaders, scientists, and epidemiologists across research units to design and analyze large and complex data sets that inform disease drivers, health disparities and outcomes.
Develop and apply innovative quantitative and statistical methods to help drive biomedical informatics and precision medicine programs within Pfizer.
Ensure rigorous quantitative approaches are taken to ensure high quality data that will be utilized in protocols, analysis plans, regulatory documents and manuscripts.
Understands precision medicine, target biology, gene signatures, omics, biomarkers multi-cohort analysis study endpoints and development of fit-for-purpose informatics models.
Ph.D and/or M.D degree in Biomedical Informatics or comparable quantitative field with 7+ years of relevant experience.
Expert in GWAS, Omics, genetic profiling and large data sets.
Broad range of experience in biology and precision medicine is essential.
Understanding of translational science, equitable medicine, disease drivers.
Understanding of data linkage between genomic data and electronic healthcare records data.
Capability to provide quantitative and statistical direction to cross-functional teams.
Guide hypotheses that will be tested with statistical rigor.
Technical competence in managing large data sets and statistical techniques.
Strong written and verbal communication skills.
The ability to work as part of a team and work collaboratively with medical/safety colleagues and research scientists.
Strong bioinformatics and computational skills, programming in R, SAS, Python and other related bioinformatics software.
Mathematics background a plus.
Technical competence and ability to become expert in health equity research.
Familiarity with HPC and/or Cloud based computational environments.
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
Additional Job Information:
Relocation Support Available
Eligible for Employee Referral Bonus
Locations: New York, NY; Cambridge, MA; Collegeville, PA; US Remote
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EEO & Employment Eligibility
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