Computational Biologist/Bioinformaticist, Immuno-Oncology - Cambridge, MA | Biospace
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Computational Biologist/Bioinformaticist, Immuno-Oncology

Jounce Therapeutics

Cambridge, MA
Posted Date:
Position Type:
Full time
Job Code:
Required Education:
Areas of Expertise Desired:

Job Description

We are seeking an experienced Computational Biologist/bioinformatics scientist to be part of the growing Translational Genomics team at Jounce. This position will play a key role in the development of novel immune-therapies. The successful candidate will help build the company’s bioinformatics capabilities focusing on analysis of internal data and public databases to support mechanism of action studies, indication selection and predictive biomarkers for therapeutic candidates in the Jounce pipeline. The ideal candidate will also have established skills in RNAseq or mid-density platform analyses and familiarity with pathway analyses and gene signature generation.

Analyzing expression data and mutation/CNV and NGS data sets.
Mining public databases and internal datasets to determine expression patterns to classify tumors
Developing and building gene expression signature profiles
Participating in disease focused translational biomarker programs and clinical biomarker assessment
Performing integrative analysis of gene expression, flow cytometry, protein, and drug response data for baseline and post-dose biomarker discovery
Working effectively in cross-functional project teams in a multi-disciplinary environment


PhD in systems biology, computational biology, or bioinformatics or equivalent experience required with 5-8 years of progressive scientific experience is required.
Proficient in the identification, download, manage, and analysis of high-dimensional data sets
Analysis of mRNA expression from various platforms such as Fluidigm, high throughput PCR, NanoString, and RNAseq to support pipeline programs
Experience with MATLAB, R, or Python and/or relational databases such as Oracle, SQL Server or MySQL are essential
Experience in investigating oncology, immunology, inflammation, cancer immunotherapy, or infectious disease modeling strongly preferred
Experience with machine learning and Bayesian learning & classification tools, as well as network modeling is preferred.
Experience in single cell sequencing analysis algorithms is a plus
Excellent oral and written skills
Proven ability to work in cross-functional teams to integrate computational biology approaches to advance R&D programs

To apply, please visit our website at