Pfizer Sr. Computational Biologist, Immuno in La Jolla, California
We are looking for a talented and highly motivated Computational Biologist/Bioinformatics Scientist to contribute to the discovery of novel immune oncology targets and biomarkers. This is an exciting opportunity to join a team of computational scientists working closely with biologists to advance development of new IO therapies by analyzing and interpreting multi-omics high-throughput data. The scientist will be responsible for identifying biomarkers and mechanisms of action for IO therapies from pre-clinical data and translating these findings to strategies for patient selection. The scientist will be responsible for processing, analyzing, and integrating data from diverse platforms: RNA-seq, WES, FACS, single cell sequencing, T-cell receptor repertoire (TCR) profiling, CYTOF, CRISPR, and other high throughput technologies.
Work within an interdisciplinary team of molecular and computational biologists to integrate, interpret, and mine high-throughput immune phenotyping, genomics, and in vivo response data from pre-clinical experiments.
Implement and/or develop methods and algorithms to analyze data from different platforms like scRNAseq, FACS, Nanostring, TCR sequencing, CYTOF, CRISPR, and others.
Analyze high-throughput data from pre-clinical studies supporting development of novel IO therapies.
Analyze and mine public and internal multi-dimensional patient data for indications selection for new IO therapies.
Provide timely analysis and interpretation of experiments from preclinical models.
Support pre-clinical bioinformatics needs
Use and develop automated methods to support large-scale bioinformatics analysis.
Process NGS alignment, transcript quantitation, variant calling, other data types as required.
Internalize and analyze public datasets from data repositories or publications to inform new IO therapies development.
Monitor and evaluate analytical aspects of new and emerging computational immune oncology techniques.
Develop tools for data sharing and visualization.
Present scientific and technical data to both internal and external colleagues in a clear and cohesive manner.
Share and communicate all aspects of data analysis, tools, and methods developed.
Enable adoption of new methods and tools.
Contribute towards publication of scientific methods and findings.
Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related fields with 2+ years of post-degree experience or equivalent.
Fluency in programming and scripting languages such as (R, Perl, Python, or Java) in UNIX/LUNIX environment.
Experience processing and interpreting high-volume genomics data.
Experience in immune oncology or immunology research.
Experience in computational methods for analysis of computational immune oncology data such as RNA-seq, deconvolution, TCR repertoire sequencing, neoantigen prediction, or FACS analysis.
Experience in integrative omics analysis, next generation sequencing, data mining, pathway analysis, statistics is desirable.
Experience in analyzing and interpreting single cell sequencing data is desirable.
Experience with application of machine learning techniques to genomics analysis.
Strong scientific understanding of molecular biology, immunology, and genomics.
Ability to work independently in a multidisciplinary, fast-paced, dynamic, and results-oriented environment
Ability to present data to a multidisciplinary audience in a clear and cohesive manner.
Excellent teamwork, time management, and organizational skills.
Other Job Details
Eligible for Relocation Package
Eligible for Employee Referral Bonus
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Research and Development