Senior Scientist, Computational Biology

What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies to transform human health and sustainability?

Flagship Pioneering's venture creation engine has conceived and created companies such as Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), Sana Biotechnology (NASDAQ: SANA), Generate Biomedicines, and Tessera Therapeutics. Since its launch in 2000, Flagship has applied its unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $212 billion in aggregate value. To date, Flagship has deployed over $2.5 billion in capital toward the founding and growth of its pioneering companies alongside more than $19 billion of follow-on investments from other institutions. In 2021, Flagship Pioneering was ranked 12thglobally on Fortune’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies.

The Company:

Quotient Therapeutics, Inc. is a privately held, early-stage company developing a novel genomics platform and therapeutics for diseases with a large unmet need.

Position Summary:

We are seeking a computational biologist who wants to leverage transcriptomic and genomic data to identify new ways to treat human diseases. The candidate brings enthusiasm, intellectual curiosity, scientific rigor, and a deep-rooted desire to innovate.  The successful candidate will be the data science lead within our biology team, helping to design and analyze in vitro and in vivo validation experiments.

Key Responsibilities:

• Be an active member of a scientific team focused on the validation of novel targets, with the end goal of developing new therapeutics for diseases with large unmet needs
• Work on collaborative project teams to design disease specific experiments and analyze results to address underlying biological questions
• Develop and deploy statistical models to extract insight from transcriptomic and functional genomics experiments
• Communicate key findings to stakeholders across the company, in written and presentation formats
• Collaborate closely with other members across the organization

Qualifications: 

• PhD, or equivalent work-experience, in genmics or transcriptomics, computational biology, bioinformatics, or similar discipline is required
• 3-5 years of industry/post-doc experience working with transcriptomic and/or functional genomics data, with ability to process, analyze, and interpret these datasets
• Can write and interpret data analysis code
• Candidates with experience in (a) target validation or (b) human or cancer genomics analysis will be preferred
• Strong leadership, management, and collaboration skills
• Ability to work successfully in a matrix environment, prioritize and manage multiple tasks, integrate cross-functional issues and balance competing priorities effectively.
• A high degree of energy, accuracy and attention to detail, and a passion for creating transformative medicines for patients with serious diseases

Preferred Attributes:

• Experience with target validation in an industrial setting 

Location: Cambridge, MA 

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