Flagship Pioneering is a biotechnology company that invents and constructs platform companies that transform the world. We bring together the best scientific minds with entrepreneurial company developers and gather capital to enable them to make daring leaps. Those vast jumps in human health and sustainability multiply scientific progress in various fields from cancer detection and treatment to nature-affirming agriculture.
What separates Flagship is our ability to bolster biotechnology by merging life science innovation, company establishment, and capital investment under a single entity in a largely unprecedented manner. Our scientific founders, entrepreneurial leaders, and professional capital managers are each aligned around a systematized process that allows us to innovate and change for the benefit of people and the planet.
Numerous companies that Flagship has established have tackled mankind’s most pressing issues: vaccinating billions of individuals against COVID-19, curing stubborn diseases, enhancing human health, preventing illness, and feeding the world by augmenting the resilience and sustainability of agriculture.
Flagship has been acknowledged twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have had a positive social and environmental impact through actions that are part of their core business strategies, and has twice been named to Fast Company’s annual list of the World’s Most Innovative Companies.
Position Summary:
Our AI Research Scientist Interns will work on central problems in machine learning and their application to biological issues. They will collaborate closely with a multi-disciplinary team of ML scientists to design and implement innovative ML tools with biological impact and assess their strengths and deficiencies. This is an exciting chance to become part of a speedy, highly dynamic entrepreneurial atmosphere.
Key Responsibilities:
Collaborate with a multi-disciplinary team of ML scientists to conduct basic research at the crossover of ML and biology.
Cultivate a data-centric and process-oriented work philosophy by learning and maintaining best practices for software development, data management, and infrastructure.
Communicate scientific approach and results via presentations to a multidisciplinary audience.
Basic Requirements:
Current master's degree or Ph.D. student in computer science or machine learning, or in a related field with experience with ML research and applications
Fluency in Python and conventional ML tools and packages
Attention to detail and ability to create clean, well-documented code
Familiarity with Git
Motivated and team-oriented, with the ability to thrive in a multi-disciplinary setting
Must be able to think independently and work collaboratively
Preferred Requirements:
Familiarity with AWS, GCP, or similar cloud-computing services.
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.
Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.