14 days old

Machine Learning Scientist

VA Boston Healthcare System
Boston, Massachusetts 02130
  • Job Type
  • Job Status
    Full Time
  • Shift
    1st Shift

VA Boston Healthcare System

Boston, Massachusetts

Come join us at the VA Boston Healthcare System (VABHS), New England's premier referral center for Veterans’ healthcare, and named among the Top 100 Places to Work in by the Boston Globe. The Massachusetts Veterans Epidemiological Research and Information Center (MAVERIC) in VABHS has a full-time Machine Learning Scientist opening for professionals passionate about serving Veterans and in designing and developing machine learning systems and methods for precision medicine, predictive analytics, and Learning Healthcare Systems. You will enjoy working with cutting-edge technologies in a strong collegial, friendly, and talented team of computer scientists, clinicians, statisticians, and informaticians. We collaborate frequently with partners at Harvard, BU, and other academic institutions, where many of us hold dual appointments.

Job Requirements

  • Core responsibilities

   Use machine learning methods to build predictive models of healthcare outcomes from the largest integrated medical records database in the United States, with comprehensive clinical information on over 22 million patients (2 trillion+ rows, 22,000+ columns of data), including large amounts of both structured and unstructured data

   Collaborate with a range of researchers, including clinicians, computer scientists and statisticians to design and execute analyses

   Develop improved methodology for using machine learning methods in relation to healthcare data

   Translate models into tools that can be deployed throughout the VA

   Publish papers on our findings, systems, and methodology

   Pitch in as necessary to extract and clean data in preparation for analysis

  • Additional responsibilities, depending on need and the skills of the candidate

   Large scale genomic data analyses using machine learning and other methods, using genomic data from the Million Veterans Program (genotype and/or sequencing data for 600,000+ Veterans and growing) and the Precision Oncology Program (solid tumor sequencing)

   Project management for larger machine learning projects




  • 5+ years experience with machine learning or applied statistics
  • 5+ years experience computer programming, with knowledge of Python, R or C++ preferred
  • M.S. or PhD (or equivalent experience) in Computer Science, Statistics, or Health related field
  • Strong understanding of the theoretical underpinnings of machine learning methods
  • Passion for advancing healthcare research and improving methodology in this area
  • Experience with electronic medical record data or clinical databases strongly preferred
  • Experience with molecular biology and/or genomics data is a plus
  • Experience using complex relational databases is preferred
  • Willingness to help extract and clean data in preparation for analysis is required
  • Strong communication and collaborative research skills required
  • Experience writing and publishing research is preferred
  • Ability to drive projects independently with moderate support
  • Detail-oriented
  • Supervisory or project management experience is a plus

This is a federal position, pay grade GS-13 (in Boston the range is $96,410-$125,334, depending on experience). A generous benefits package is included.

The VA is an equal opportunity employer. Women, people of color, and LGBTQ applicants are encouraged to apply. Those who are interested in pursuing an academic career are encouraged to apply and become an active member of our research team. Candidates must be US citizens.

Applicants should submit a cover letter and CV or inquiries to Nathanael.Fillmore@va.gov

Application Deadline: Monday, April 30, 2018

Include “Machine Learning Scientist Application” in the e-mail subject line.


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Machine Learning Scientist

VA Boston Healthcare System
Boston, Massachusetts 02130

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Machine Learning Scientist

VA Boston Healthcare System
Boston, Massachusetts

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