Head of Genomic Data Science – FL86

Company Summary:
FL86, Inc. is a privately held, early-stage company developing a novel genomics platform and therapeutics for diseases with a large unmet need.

FL86 was founded by Flagship Pioneering, an innovation 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. These companies include Seres Therapeutics (NASDAQ:MCRB), Moderna (MRNA), Syros Pharmaceuticals (SYRS), Rubius Therapeutics (RUBY), Axcella Health, Evelo Biosciences (EVLO), and Indigo Agriculture.

Position Summary:
We are seeking a Head of Genomics Data Science to build and lead a state-of-the-art genomic data platform. The candidate brings enthusiasm, intellectual curiosity, scientific rigor, and a deep-rooted desire to innovate in genomics.

Key Responsibilities:

• Lead the Genomics Data Science team to enable research and development activities, prioritizing and allocating resources to achieve company goals.
• Collaborate closely with platform and development teams
• Rapidly build a team and develop the talent pipeline
• Identify and integrate relevant structured and unstructured functional and genomics datasets into FL86’s database
• Develop and deploy statistical models to assess database for novel discoveries
• Foster collaborations across Flagship Pioneering companies, academia, and CROs
• Initially, significant hands-on method development and analysis

Requirements:

• Ph.D. or equivalent in human genetics, statistical genetics, computational biology, bioinformatics, genomics or similar discipline.
• 7+ years post-Ph.D. experience in computational biology with outstanding skills in bioinformatics, genomics, genetics, large-scale data analysis, and statistical model building, as evidenced by presentations and publications.
• Preferred experience in data infrastructure development, data management, and software engineering
• 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