Company: Flagship Pioneering

TITLE: Consultant, Graph Database

TIME COMMITMENT: 10-20hrs/week

LOCATION: Cambridge, MA

Company Summary:

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 (MCRB), Moderna (MRNA), Syros Pharmaceuticals (SYRS), Rubius Therapeutics (RUBY), Axcella Health (AXLA), Evelo Biosciences (EVLO), and Indigo Agriculture.

Position Summary:

This is a part-time position. We are seeking a highly motivated computer scientist with extensive experience working with Graph Databases to play a vital role in the company’s efforts to create an AI-driven platform that fundamentally changes the way we innovate in science and technology. 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:

  • Build and maintain in-house graph databases
  • Use the graph databases in addition to other types of data to design, plan, and execute proof-of-concept experiments
  • Thought partner during the ideation process
  • Write and present results to the team

Basic Requirements:

  • PhD, master’s or bachelor’s degree in a quantitative discipline (e.g. Machine Learning, Statistics, Computer Science, Mathematics, Computational Biology or related field)
  • Extensive experience with graph-structured data
  • Proficiency in at least one mainstream graph database (e.g. Neo4j) and its query language
  • Strong coding and software engineering skills in Python
  • Motivated, curious, execution focused, team oriented, with an ability to thrive in an entrepreneurial and multidisciplinary environment

Preferred Requirements:

  • Experience working with heterogenous networks
  • Extensive experience designing and executing Cypher queries in Neo4j
  • Experience with machine learning tools and packages for graph-structured data (e.g. Deep Graph Library, PyTorch, Snorkel, GraphSAGE, etc.)

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