Job Description
We are seeking a dynamic and innovative Machine Learning Associate to be a critical part of our origination team. This role offers a unique blend of responsibilities, with a 50:50 focus on both the development of our business unit and the origination/operation of new companies. The ideal candidate will be someone who thrives on challenges, is open to exploring wild ideas, and is equally motivated to drive forward both high-risk and lower-risk projects. A significant aspect of this role involves acting as a bridge between the Pioneering Business Unit and Pioneering Intelligence, a division of Flagship focused on AI.
Key Responsibilities:
Origination and Operation of New Companies:
- Contribute to and lead Flagship model explorations to rapidly assess interesting areas of science, with an AI/ML focus, and develop novel, actionable and high value venture hypotheses
- Outline key scientific questions to enable venture hypotheses and develop experimental plans to rapidly create value and pressure test ideas
- Identify, build, and maintain relationships with appropriate academic KOLs and thought experts, i.e., introducing them to the Flagship model, getting early buy-in, vetting/validation and de-risking key concepts of venture hypotheses
- Manage & lead scientific team (internal or external) and daily research. Manage operational tasks, including establishing lab facilities, purchasing, HR, real estate acquisition, etc.
- Become institutional subject matter expert and transfer to active company team. Stay up to date on the literature, conferences, funding opportunities, and new developments
Business Unit Development:
- Assist in the development and implementation of a machine learning vision that aligns with the overarching objectives of the business unit and Flagship Pioneering.
- Collaborate in organizing training opportunities to educate our teams on the capabilities of ML.
- Support ML-driven explorations by providing feedback to identify novel opportunities and ensure scientific rigor.
- Contribute to the growth of ML-support roles within the business unit.
- Aid in evaluating the potential of AI to enhance the speed and quality of explorations.
Interface with Pioneering Intelligence:
- Act a key liaison between the business unit and Pioneering Intelligence, ensuring seamless communication and collaboration.
- Identify and highlight company needs to Pioneering Intelligence.
- Stay updated with the latest advancements and offerings from Pioneering Intelligence and evaluate their potential applications within the business unit and associated companies.
Qualifications:
- A PhD or equivalent in Computer Science, Data Science, Machine Learning, or a related field.
- Experience in biotech, computational biology, or a related industry. Experience in a start up environment and demonstrated passion for entrepreneurship preferred
- Strong analytical and problem-solving skills.
- Ability to work on multiple projects simultaneously and prioritize tasks.
- Excellent communication and interpersonal skills, especially in liaising between different divisions.
- A passion for innovation and a willingness to explore uncharted territories.
What We Offer:
- A dynamic and innovative work environment.
- Opportunities to work on groundbreaking projects at the intersection of biotech and machine learning.
- A platform to grow, learn, and make a significant impact in the biotech industry.
At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.
Company Info.
Flagship Pioneering
Flagship Pioneering is an American life sciences venture capital company based in Cambridge, Massachusetts that invests in biotechnology, life sciences, health and sustainability companies. Portfolio companies include Moderna, Indigo Agriculture, Inari Agriculture and Novomer.
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Industry
Biotechnology Research
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No. of Employees
500
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Location
Cambridge, MA, USA
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Website
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