As a member of the Computational Sciences group this compuational biology expert will develop computational algorithms and statistical models to address a range of drug discovery challenges, particularly in the areas of phenotypic screening, mechanism of action elucidation, disease models and pharmacological response characterization, drug repurposing, and discovery of novel targeting mechanisms. (S)he will partner in the design of experiments for small molecule and functional genomic library screening and the analysis of subsequent data, the generation of machine learning models and the design of follow-up screening experiments. Work will include the development of methods to analyze multi-parametric assay results and the integration and interpretation of complex data sets, for example from high content screening, literature and pathway mining to elucidate mechanism of action and for hypothesis generation. The role will provide scientific domain knowledge in bioinformatics, computational biology and data science. The ability to develop, evaluate and implement new techniques will be critical. The successful candidate will have strong interpersonal and communication skills required to build networks and partnership with Research Unit and Partner Line teams.
* Partnership to deliver the Primary Pharmacology Group portfolio including projects supporting Cardiovascular & Metabolic disease, Inflammation and Immunology, Rare Diseases and Oncology
* Design of chemical and genomic libraries for screening campaigns
*Analysis of chemogenomic and directed library screening results, mining of compound annotations and design of follow-up experiments
* Perform computational analysis of high-dimensional multi-omics datasets (proteomics, genomics, pathways) and derive testable hypothesis to assist phenotypic deconvolution, mechanism of action elucidation, lead compound selection and characterization
* Work closely with primary pharmacology, hit discovery, and chemical biology groups to develop and validate proteomics applications
* Develop custom computational analysis methods as needed and provide ad-hoc support to cross-disciplinary project teams.
* Deliver testable hypotheses/insights from complex multidimensional data to inform mechanism of action determination in high quality presentations & publications
*Analysis and visualization of high-dimensional data sets
*Delivery of subject matter expertise for cross-functional teams within Pfizer WRD
*Ph.D. in bioinformatics, biostatistics, computer science or a related discipline
* Significant experience developing and applying Machine Learning and Statistical Models
* Experience in computational analysis and biological interpretation of mass spectrometry data
* Experience with chemical biology applications using quantitative mass spectrometry
* Experience with NGS, transcriptomics data
* Image based analysis and feature extraction
* Excellent track record of external publications and professional service
* 4-5 years of experience in the biopharmaceutical industry
*Outstanding teamwork and communication abilities
*Experience with complicated data types (proteomics, genomics, metabolomics, imaging, etc.)
*Fluency in one or more programming languages in the Unix environment, SQL and R
EEO & Employment Eligibility
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