Scientist I/II, Computational Biology

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Full time
Location: Cambridge
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Job offered by: Flagship Pioneering
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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? Company Summary: Quotient Therapeutics, Inc. is a privately held, early-stage company developing a novel genomics platform and therapeutics for diseases with a large unmet need. Quotient Therapeutics, Inc. was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. Position Summary: We are seeking a computational biologist who wants to leverage genomics data to identify new ways to treat human diseases. The candidate brings enthusiasm, intellectual curiosity, scientific rigor, and a deep-rooted desire to innovate in genomics. This role is based in the vicinity of Cambridge UK and hybrid work arrangements will be considered. Key Responsibilities: Be an active member of a scientific team focused on the design and deployment of genomic technologies, 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 genomics questions. Develop and deploy statistical models to assess databases for novel discoveries. Communicate key findings to stakeholders across the company, in written and presentation formats. Collaborate closely with other members across the organization. Requirements: PhD, or equivalent work experience, in cancer genetics, human genetics, statistical genetics, computational biology, bioinformatics, genomics or similar discipline is required. 0-5 years of industry/post-doc experience working with genomics data, with ability to process, analyze, and interpret genomic datasets. Can write and interpret data analysis code. Candidates with experience in (a) Target discovery or (b) Human or Cancer Genomics analysis will be preferred. Strong leadership, management, and collaboration skills. Excellent verbal and written communication. Ability to work successfully in a matrix environment, prioritize and manage multiple tasks simultaneously, 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. Location:

Cambridge, England What We Offer: A Crucible of Innovation : Dive into a world where your ideas matter. Our work environment is dynamic, encouraging creativity and out-of-the-box thinking. Professional Growth in a Supportive Environment : While we're small, our aspirations are big. You'll have the unique opportunity to grow with us, learning new skills and tackling diverse challenges every day. Competitive Compensation : We understand the value of our team. That's why we offer competitive salaries that match your expertise and contribution to our shared goals. Above Standard Facilities : Our labs and workspaces are more than just functional. Enjoy working in above-standard facilities that stand out in the start-up world. Located at the Heart of Biotech Innovation : Our location isn't just a place; it's a strategic advantage. Situated near Cambridge, you'll be at the crossroads of biotech innovation. Making a Difference : Here, your work transcends the ordinary. We're about making a tangible, positive impact on the world through our biotech advancements. Equality, Diversity, and Inclusion Aware : We're committed to creating a workplace where everyone feels valued and respected. Flagship Pioneering and our ecosystem companies are

committed to equal employment opportunity

regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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