Statistical Position Supporting Systems Biology
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Max Kuhn ▴ 60
@max-kuhn-2554
Last seen 9.6 years ago
United States
Position: Statistician in a systems biology team focused on metabolic disorders such as diabetes and obesity. The position is part of a statistics group supporting Pfizer global research and development. Role and Responsibilities: The statistician will be an integral member of a systems biology team which develops and/or uses computational and statistical approaches to manage and derive knowledge of biological processes from large biological datasets (e.g., expression profiling, and other ?omics? sets). In this role, he/she will share accountability for achieving team goals focused on: * Drug target discovery * Early biomarker discovery * Pathway understanding and mechanistic insight Teams will consist of computational biologists, geneticists, statisticians and bioinformatics specialists. These statistician positions are unique in requiring a substantial working knowledge of biology. This is necessary in order to collaborate effectively with biologists in the design of appropriate experiments that will effectively elucidate the biological processes underpinning metabolic diseases. The statisticians? contributions to meeting team goals will come in the areas of experimental design, data analysis and data interpretation. They will also include assessment of the quality of external databases from a statistical perspective. Requirements: Minimum: * M.S. or Ph.D. in Statistics or Biostatistics * A minimum of two years statistical consulting experience in applying statistics to the understanding of biological systems, preferably in a laboratory science environment * Strong initiative, excellent interpersonal and communication (written and verbal) skills * Understanding of inference and probability; competence in contemporary linear modeling including mixed models, particularly longitudinal models; nonlinear regression; and predictive modeling (e.g. random forests, support vector machines). * Solid understanding of experimental design particularly as it applies to experiments producing high dimensional data (e.g. gene expression, proteomics and rtPCR) * Strong computational skills in R, S-plus or SAS * Biological knowledge including more than superficial understanding of cell and molecular biology and genetics. Preferred candidates will have: * Formal training in, or thorough understanding of, human physiology particularly metabolic systems and cardiovascular biology * Additional computing skills in scripting languages, such as perl, python, UNIX shell scripts or others. To Apply: Go to http://pfizer.com/careers/ and choose "Find a Career at Pfizer" on the left and click on "Apply". This position can be found by searching for Job ID 937467.
Genetics Proteomics Genetics Proteomics • 998 views
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