AI Scientist for Genomics Data Innovation
1 week ago
Quotient Therapeutics, Inc. is a pioneering company developing a novel genomics platform and therapeutics for diseases with large unmet needs.
About Flagship PioneeringFlagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products transforming human health or sustainability.
Job DescriptionWe are seeking an experienced Lead AI Scientist to leverage genomics data, artificial intelligence, and computational methods to identify new ways to treat human diseases.
The successful candidate will be based in Cambridge, England, and have permission to work in the UK.
Key Responsibilities:- Develop and deploy computational methods using AI/ML to further our scientific and therapeutic goals.
- Lead a small team of AI/ML scientists and software developers.
- Collaborate with our wet lab team to tailor experimental design for AI/ML applications.
- Collaborate with our data infrastructure team to ensure optimal data management for AI/ML applications.
- Be an active member of a scientific team designing histology and genomics experiments for developing new therapeutics.
- Communicate key findings to stakeholders in written and presentation formats.
- PhD in genomics, computational biology, or a similar discipline.
- 3-7 years of industry experience applying AI/ML to genomics data and/or target discovery.
- Experience in genomic data analysis, target identification, and designing new AI/ML approaches is preferred.
- Strong leadership, management, and collaboration skills.
- High proficiency in writing Python code or equivalent.
- Ability to work successfully in a matrix environment, prioritize tasks, and balance competing priorities effectively.
The estimated annual salary for this role is around £90,000 - £120,000, depending on experience. Benefits include a comprehensive compensation package, opportunities for professional growth, and a dynamic work environment.
Why Join Us?At Flagship Pioneering, we recognize there is no perfect candidate. We encourage applicants with diverse backgrounds and experiences to apply. Our ecosystem companies are committed to equal employment opportunity and strive to build inclusive teams.
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