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 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.
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, single cell RNAseq, proteomics.
Internalize (or design) and apply fit-for-purpose computational approaches to understand immune dysfunction in patients and work towards hypotheses for therapeutic mechanisms.
Actively support project teams reaching milestone decisions in key immune related disease areas, such as ulcerative colitis, Crohn’s disease, rheumatoid arthritis, fibrosis.
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.
Actively shape and support one or more of our ongoing external collaboration with key opinion leaders in relevant disease areas.
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.
Ph.D. in Computational Biology, Biological Sciences, Bioinformatics, Computer Science, Applied Mathematics or other natural science required;
4+ years relevant experience applying quantitative approaches to solving biological problems, preferably in a pharmaceutical, biotech or comparable context.
Proficiency in programming, scripting, querying or statistical analysis languages such as R, python, perl, unix.
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.
Experience with reproducible workflow approaches such as Jupyter Notebooks or R Markdown.
Experience or 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.
EEO & Employment Eligibility
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Other Job Details:
Last Date to Apply for Job: October 3, 2018
Eligible for Relocation Package
Eligible for Employee Referral Bonus
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.