Pfizer Sr. Computational Biologist, Oncology Drug Discovery in La Jolla, California
We seek a talented and highly motivated computational biologist to join a team that supports oncology drug discovery by developing and applying innovative analytical tools and methodology with a focus on multi-omics and single cell genomics. This is an exciting opportunity to make an impact at all stages of drug discovery including target identification, translational research and clinical development in a dynamic, collaborative and inter-disciplinary environment. The successful candidate will have a combination of strong computational and biological background, with proven capability of solving complex problems by creating innovative analytical solutions.
Develop and apply state of the art computational approaches for spatial transcriptomics, RNA-Seq, ATAC-Seq and other high-dimensional multi-omics data analyses.
Collaborate with experimental biologists to support technology development for transcriptomics and epigenomics profiling for application in clinical and translational research.
Contribute to data integration efforts and perform data mining analyses to identify novel drug targets and biomarker hypotheses and derive insights into drug resistance and mechanism of action.
Contribute to data analysis and publication efforts in cross-interdisciplinary clinical genomics studies that aim to elucidate drug resistance mechanisms and immune response to standard-of-care therapies.
Contribute to the development of pipelines and systems for data analysis, integration and management.
PhD or equivalent in bioinformatics, computational biology or a closely related field.
Strong skills in scientific programming (R, Python, Perl) in UNIX/LINUX environment and algorithm development.
Proven record of scientific rigor and success in applying state-of-the-art computational approaches to solving biological problems, preferably in cancer biology and medicine.
Strong background in high-dimensional, multivariate data analysis and biostatistics/machine learning methods.
Demonstrated skills and experience in multi-omics data analysis (whole exome/genome sequencing, bulk-tumor and single-cell RNA-Seq), with deep knowledge of high throughput molecular profiling.
Ability to multi-task, effectively communicate (oral and written) and work in multidisciplinary teams.
Postdoctoral or work experience in biopharmaceutical industry and academia.
Experience in spatial transcirptomics, epigenomics or single cell sequencing data analysis.
Experience in developing web-based applications and databases.
OTHER JOB DETAILS
Eligible for Relocation Package
Eligible for Employee Referral Bonus
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Research and Development