Principal/Senior Scientist, Statistical Genetics
Cambridge, England
Applications have closed
Flagship Pioneering, Inc.
We are Flagship Pioneering We are a biotechnology company that invents platforms and builds companies that change the world. CEO Chats from the Flagship…Principal/Senior Scientist, Statistical Genetics
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), and Editas Medicines (NASDAQ: EDIT). 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:
FL86, Inc. is a privately held, early-stage company developing a novel genomics platform and therapeutics for diseases with a large unmet need.
Position Summary:
- Lead statistical genetics effort to leverage population genetics in the setting of a novel genomics platform to gain and integrate insights into complex disease biology across multiple different therapeutic areas to successfully drive programs in support of the discovery platform.
Responsibilities:
- Oversee data set curation including UKBB, FinnGen, and usage of the GWAS catalog and OpenTargets to derive population genetics insights into diseases and traits of interest
- Perform and interpret GWAS, exome sequencing, and WGS analyses across multiple disease areas
- Use innovative genomic analyses and their application to complex human traits
- Work with computational colleagues to integrate germline genetics datasets with other modalities including bulk RNAseq, scRNA seq, and other more novel modalities
- Use Mendelian randomization to elucidate causal mechanisms, pathway information and other functional data to prioritize effector genes and causal mechanisms and information across multiple traits or variants to generate insights
- Critically review and provide feedback on analyses plans, results and summaries to ensure they are accurate and reliable. Identify potential problems and propose remedies or refinements
- Collaborate with computational and biology colleagues to leverage insights derived from statistical genetics for program decision making
- Identify and manage external collaborations and consultants
Qualifications:
- PhD with 7+ years of experience in statistical genetics and analysis and interpretation of large data sets
- 5+ years of industry experience preferred
- Demonstrated scientific knowledge of disease biology, experimental design and execution, translation of genotype phenotype associations to mechanism
- Deep understanding of the role of statistical genetics in drug discovery across multiple different therapeutic areas
- Demonstrated ability to: i) to establish clear key priorities, ii) objectively assess complex data sets, iii) make informed decisions and to take action in the face of uncertainty.
- Ability to manage multiple projects and balance a broad set of priorities
- Ability to work both independently and collaboratively in a team-oriented, fast-paced environment
- Excellent oral and written communication skills across all levels within an organization and with external partners
Preferred Attributes:
- Ability to effectively and seamlessly multi-task and prioritize across multiple exploratory areas, with complex strategies and accelerated timelines.
- Team player and mentor
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biology Drug discovery Mendelian Randomization PhD Ruby Statistics
Perks/benefits: Startup environment
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