Director/Senior Director, Computational Biology at Tango Therapeutics
Cambridge, MA, US
Position Summary:

As the Director of Computational Biology, you will lead, design and execute on a variety of high-dimensional computational and bioinformatics projects centered on target identification, drug discovery and translational development of oncology and immune-oncology programs. Your initial focus will be to develop novel analysis strategies to filter and distill multi-dimensional datasets, including TCGA, CCLE data as well as pathway knowledge to generate focused hypotheses that will drive target identification/validation and drug discovery. As part of this effort, you will develop cutting edge computational tools and work with informatics team to implement the analysis pipeline as well as build the supporting infrastructure, including data capture and construction of key databases. As one of the key early hires for the company, a critical component of the job will be close collaboration with internal discovery teams and external investigators. The Director of Computational Biology will be a critical thought leader in the company, collaborating closely with discovery and development scientists.


BA, MA, or PhD with 12 or more years of industrial or relevant academic experience
Strong understanding of cancer biology and cancer genetics with extensive experience in a wide range of sequencing technologies including next generation sequencing
Strong understanding of RNA-Seq and DNA-Seq analysis tools and methodologies, working experience with large dataset such as TCGA or CCLE
Deep, practical understanding of statistics
Demonstrated practical expertise with computational and bioinformatics technologies, algorithms and techniques
Proficient programming skills and computational analysis background. Experience with R, PERL or Python, SQL are desirable
Ability to apply and develop tools for integrative analysis and visualization of multi-dimensional datasets, integrating biochemical, cellular and genomic data using appropriate statistical methods to drive drug discovery projects
Ability to work effectively with internal and external collaborators to funnel emerging genomics discoveries to guide internal programs and identify partners/consultants to complement internal bioinformatics efforts
Exposure or working experience in Immunology and Immuno-oncology will be a plus
Excellent communication and writing skills
Proven leadership abilities
Highly motivated to contribute to exciting novel directions in personalized medicine