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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