Scientist, Machine Learning

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Irfa******

  • United States 
  • Last Update: 16.07.2019 at 12:00

Job Type
Full Time
Start
ASAP
Duration
6 Month +
Place
Cambridge, MA, US
Country
United States

Category


General Administrative

Description


Job description

Company Summary

The latest Flagship Pioneering company is a privately held, early-stage company developing a platform for decoupling complex interactions between organisms to solve global challenges in human health and sustainability. FL65 leverages a multidisciplinary approach that integrates tools ranging from multi-omics and machine learning to synthetic biology and precision agriculture. FL65 was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, funds, and develops first-in-category life sciences companies. Flagship Pioneering has created over 40 groundbreaking companies over the past fifteen years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Seres Therapeutics (NASDAQ:MCRB), Moderna, Syros Pharmaceuticals (SYRS), Rubius Therapeutics (RUBY), Axcella Health, Evelo Biosciences (EVLO), and Indigo Agriculture.

Position Summary

We are seeking a creative, motivated Research Scientist with experience developing machine learning models to answer complex biological questions around the role of the metabolome in health and disease. The role will involve independently developing novel machine learning algorithms, implementing them as python code, and contributing to a growing codebase of such models. The successful candidate will support and work closely with other scientists, as well as the Flagship Pioneering team to rapidly advance the scientific program.

Responsibilities

  • Lead design, development, and successful implementation of novel machine learning algorithms for classification or regression models of biological and chemical data
  • Manage and contribute to codebase
  • Oversee, mentor, and train research associates
  • Maintain scientific and technical expertise through familiarity with scientific literature, attending conferences, and developing relationships with thought leaders
  • Work closely with an entrepreneurial, highly-collaborative, interdisciplinary team and actively contribute to creating, shaping and executing the scientific vision of the company
  • Jump in and help with whatever is needed to get the job done: we are in this together!

Preferred Qualifications

  • Ph.D. in computer science, statistics, computational biology, bioinformatics, or closely related field, or MS with 3 years of experience in industry
  • A record of publication in machine learning venues such as conferences and journals
  • Experience with cheminformatic and bioinformatics toolkits and libraries, such as RDKit or Biopython
  • Expertise in python programming
  • Understanding of biology and genetic, proteomic, and molecular datasets
  • Experience working with deep learning models, probabilistic graphical models, or other machine learning models of high-dimensional biological data
  • Self-motivated and curious with strong desire to both learn from and teach others
  • Outstanding communication and interpersonal skills

Seniority Level

Mid-Senior level

Industry

    • Biotechnology

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