Senior Scientist, Computational Genomics

Company Summary: We are building a new venture, FL122, pioneering genomic technologies at the intersection of human health and assisted reproduction. The company 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. These companies include Moderna (MRNA), Generate Biomedicines, Tessera Therapeutics, and Quotient Therapeutics. We are an equal opportunity employer. Position Summary: We are seeking a first Computational Genomics hire, who will conduct crucial research that will form the basis of the company’s scientific platform. As an early stage hire, you will operate with significant ownership, shaping analytical strategy from first principals, intersecting the fields of genomics, statistical genetics and statistical modeling. The role includes responsibility of the end-to-end delivery of computational research projects, including project design, implementation, interpretation and reporting results to senior leadership. We are looking for someone who is resourceful, is open to a rapidly changing, agile environment and has bias to action. The ideal candidate combines deep technical rigor with a growth mindset, pays attention to detail, and has a deep-rooted desire to achieve excellence. Being collaborative is key – the environment is an early stage startup, where all members of the team need to work closely together to break new ground in science. Key Responsibilities: Deliver computational research projects with a high degree of autonomy, including project design, implementation, interpretation and reporting results to senior leadership Collaborate with cloud engineers to set up the required infrastructure to process and store genomics datasets Integrate multiple NGS data types into coherent analyses, going from raw input files to variant calls and higher level analyses Develop probabilistic and Bayesian models that rigorously incorporate priors, uncertainty, and missing data to inform decision-making Interact with external advisors, leveraging their inputs and building high-quality relationships Requirements: Ph.D. in biology, statistics, genetics, computational biology or a related quantitative discipline with 5+ years of relevant post-academic or industry experience with an excellent research track record Deep expertise in the analysis of genomics data derived from Illumina sequencing platforms (expertise with additional sequencing technologies is a plus) Experience processing next-generation sequencing data end-to-end , from raw reads through alignment, QC, and variant calling Experience integrating and jointly analyzing multi-modal sequencing datasets , including DNA and RNA Expertise in statistical genetics, computing polygenic risk scores using published methods and adapting or extending these methods for novel applications Expertise in building probabilistic statistical models that explicitly account for uncertainty, prior information, and incomplete observations Comfort operating in fast-moving, ambiguous startup environments with high ownership and accountability At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact. We are an equal opportunity employer . All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We recognize that great candidates often bring unique strengths without fulfilling every qualification . If you have some of the experience listed above but not all, please app ... (truncated, view full listing at source)