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Computational Biologist

Pfizer


Location:
Cambridge, MA
Date:
04/28/2017
Job Code:
1047560-1852
Pfizer
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Job Details

Job Title Computational Biologist

JobID 1047560-1852

Location: Cambridge, MA

Description *About Pfizer*

A career at Pfizer offers opportunity, ownership and impact.All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.



*Role Description*

The rapid growth of high-dimensional datasets at all levels of granularity together with broader availability of powerful computational methods offer new opportunities for science-based drug discovery. The Inflammation & Immunology research unit is capitalizing on this emerging science with an embedded computational group working in close collaboration with experimentalists.The Computational Biologist will work closely with colleagues within the Systems Immunology function as well as project teams and partner lines to inform the I&I drug discovery pipeline based on integration and analysis of omics scale datasets, e.g. RNASeq, genetics, FACS/cyTOF.The Computational Biologist will internalize (or design) and apply fit-for-purpose computational approaches to understand immune dysfunction in patients and work towards hypotheses for therapeutic mechanisms.The Computational Biologist will actively support project teams reaching milestone decisions in key disease areas, such as ulcerative colitis, Crohn's disease or rheumatoid arthritis.The Computational Biologist will support the integration of actionable information from several partner lines within Pfizer. This will include information from human genetics studies, internal clinical studies and electronic medical records. The Computational Biologist will actively shape and support one or more of our ongoing external collaboration with key opinion leaders in relevant disease areas. The Computational Biologist position offers an opportunity to execute science-based drug discovery within one of the world's leading developers of human therapeutics, at the Pfizer Biomedical Institute based in the Cambridge Innovation Hub.



*Responsibilities*

Deliver computational analyses of high-dimensional datasets such as RNAseq, NGS or FACS/cyTOF from model systems, disease systems, clinical data and, molecular profiling databases to understand disease biology, potential drug targets and specific genetic variants.Identify novel computational methods, data sources, and external collaborations that will grow capabilities in computational systems immunology and benefit the I&I mission.Become an integral part of project teams in the I&I unit and support milestone decisions in key disease areas such as ulcerative colitis, Crohn's disease or rheumatoid arthritis based on quantitatively analyzed results from available omics data sets.Coordinate the integration of actionable information from several partner lines within Pfizer. This will include information from human genetics studies, internal clinical studies and electronic medical records. Lead internal/external collaborations that secure access to innovative computational methodologies and/or relevant datasets to advance our ability to understand disease pathophysiology from large-scale molecular and phenotypic data.



*Qualifications*

Ph.D. in Computational Biology, Biological Sciences, Bioinformatics, Computer Science, Applied Mathematics or other natural science required; 5 years relevant experience applying quantitative approaches to solving biological problems, preferably in a pharmaceutical, biotech or comparable context.Curiosity about biological and pathological processes and mechanisms, esp. with an immunological and inflammatory focus.Background in human biology/medicine, with some knowledge of disease pathophysiology in immunological and inflammatory diseases highly preferred.Demonstrated expertise in delivering insights and hypotheses from complex multi-dimensional biological data in a biomedical context.Demonstrated experience in designing and applying computational approaches to deliver insights and hypotheses, e.g., multivariate, Bayesian and modern machine learning approaches.Proficiency in programming, scripting, querying or statistical analysis languages such as R, python, perl.Experience with reproducible workflow approaches such as Jupyter Notebooks or R Markdown.Experience and interest in modern data science analysis infrastructure, such as Spark, Hadoop, or data lakes.Demonstrated experience in design, execution and interpretation of in vivo and/or in vitro biological experiments, especially RNAseq or other NGS and FACS/cyToF.Pharmaceutically relevant experience or formal training in computational biology, bioinformatics, 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.Excellent communication skills (oral and written) as demonstrated by publications & presentations.PHYSICAL/MENTAL REQUIREMENTS Primarily sitting at a desk and moving through offices. Light travel load. No extra-ordinary requirements.Ability to perform complex data analysisAbility to design, internalize and apply new computational techniques and tools Ability to learn new areas of disease biology



*EEO & Employment Eligibility*

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.#LI-SA1





*Computational Biologist*
*Cambridge, Massachusetts*
*1047560-1852*


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