Principal AI Scientist
Posted on 12/14/2023
INACTIVE
Flagship Pioneering

501-1,000 employees

Originates biotech ventures for health and sustainability
Company Overview
Flagship Pioneering stands out as a leader in the biotechnology industry, having originated and nurtured over 100 scientific ventures, including high-profile companies like Moderna and Indigo Agriculture. The company's culture is rooted in developing transformative products for human health and sustainability, as evidenced by their creation of platform companies like Generate Biomedicines and Tessera Therapeutics. Their competitive edge lies in their ability to explore new frontiers in genetics, as demonstrated by their recent unveiling of Quotient Therapeutics, a venture aimed at creating transformative medicines.
Venture Capital

Company Stage

N/A

Total Funding

$6.4B

Founded

2000

Headquarters

Cambridge, Massachusetts

Growth & Insights
Headcount

6 month growth

6%

1 year growth

15%

2 year growth

56%
Locations
Cambridge, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Analysis
CategoriesNew
AI & Machine Learning
Requirements
  • PhD in genomics, computational biology, or similar discipline is required
  • 3-7 years of industry experience applying AI to genomics data and/or target discovery
  • Candidates with experience in (a) genomic data analysis, (b) target identification, and (c) designing new AI/ML approaches will be preferred
  • Strong leadership, management, and collaboration skills
  • High level of proficiency in writing python code or equivalent
  • Excellent verbal and written communication
  • Ability to work successfully in a matrix environment, prioritize and manage multiple tasks simultaneously, integrate cross-functional issues and balance competing priorities effectively
  • A high degree of energy, accuracy and attention to detail, and a passion for creating transformative medicines for patients with serious diseases
Responsibilities
  • Work with the wider scientific team to define a vision for leveraging AI/ML to further our scientific and therapeutic goals
  • Develop and deploy AI approaches necessary to implement this vision, both directly and via leading a small team
  • Collaborate with our data infrastructure team to ensure the data management framework is optimised to use internal and external data for AI/ML
  • Collaborate with our wet lab team to tailor experimental design, particularly around image collection, is optimised for application of AI/ML
  • Be an active member of a scientific team focused on the design of histology and genomics experiments, with the end goal of developing new therapeutics for diseases with large unmet needs
  • Communicate key findings to stakeholders across the company, in written and presentation formats
  • Collaborate closely with other members across the organization