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Pfizer Sr. Computational Biologist, Immuno in La Jolla, California

ROLE SUMMARY

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.

BASIC QUALIFICATIONS

  • 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.

PREFERRED QUALIFICATIONS

  • 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

  • #LI-PFE

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