Scientist, Machine Learning (Graph Neural Networks)

Company Summary:
FL74, Inc. is a privately held, well-funded, early-stage biotechnology company that leverages advances in machine learning to fundamentally change how we innovate in science and technology.

Flagship Pioneering is an innovation enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Since Flagship's founding in 2000, the firm has originated and fostered the development of nearly 100 scientific ventures resulting in $19 billion in aggregate value, 500 issued patents, and more than 50 clinical trials for novel therapeutic agents. These companies include Seres Therapeutics (NASDAQ: MCRB), Moderna, Syros Pharmaceuticals (SYRS), Rubius Therapeutics (RUBY), Axcella Health, Evelo Biosciences (EVLO), and Indigo Agriculture. FL74, Inc. is a highly dynamic, entrepreneurial, and innovation-driven organization seeking to hire an exceptional scientist to join our development team.

Position Summary:
FL74 is seeking a highly motivated computer scientist with a strong background in Machine Learning to play a vital role in the company's efforts to create an AI-driven innovation engine. The candidate must be independent, goal oriented, have excellent communication skills and be willing to work in a highly dynamic and fast-paced entrepreneurial environment.

Key Responsibilities:
  • Lead rapid development and validation of novel machine learning algorithms for classification, clustering, prediction, and generation of scientific data
  • Contribute to platform innovation and pipeline formulation
  • Work independently and as part of a collaborative team to design, plan, and execute experiments that support research activities, project goals and platform development
  • Close interactions with data scientists, subject matter experts, and business stakeholders
  • Monitor and evaluate developments in state-of-the-art of AI/ML/DL algorithm and research results
  • Write and present results to the team
Basic Requirements:
  • PhD or equivalent level of experience in a quantitative discipline (e.g. Machine Learning, Statistics, Computer Science, Mathematics, Physics, or related field)
  • Strong coding and software engineering skills in Python
  • Experience with ML tools and packages (e.g. Deep Graph Library, PyTorch, Snorkel, StanfordNLP, etc.)
  • *Not negotiable* Experience with graph neural networks
  • Experience with NLP/ML models (e.g. LSTMs, Transformers) and techniques (e.g. word and sentence embedding, topic modelling)
  • Broad ML perspective with demonstrated experience in algorithm innovation
  • Motivated, curious, execution focused, team oriented, with an ability to thrive in an entrepreneurial and multidisciplinary environment
Preferred Requirements:
  • Experience working with heterogenous graphs/networks
  • Experience working with time-series data
  • Familiarity with life-science literature and biomedical data
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.