Senior Research Support Associate, Machine Learning and Health Data, Health 0.0

Job Description

The MIT Media Lab requires a senior research support associate to work at the intersection of machine learning, bioinformatics and computer vision. Candidates with a strong computer science and data sciences background with interest in solving grand challenges in health and medicine are encouraged to apply. Candidate will work closely with Dr. Pratik Shah, students and research staff within the Health 0.0 research program at The Media Lab that creates novel intersections between engineering, medical imaging, machine learning, and medicine to improve health outcomes for patients

This appointment is for the term of one year with possibility of extension based on funding and research priorities. 


  • Training novel machine learning models for classification, prediction and analysis of bioinformatics, microbiology and health diagnostic datasets;
  • Supporting other group members, Ph.D. students, and undergraduate researchers.


  •  B.S. in computer science;
  • Training in using bioinformatics, or computational biology tools and datasets; machine learning software development and engineering practices, including TensorFlow, Caffe and Torch; GPU programming, including OpenCL and CUDA;
  • Experience with software development practices, including git-based version control and continuous integration; 
  • Expertise in sparse matrix algebra and machine learning;
  • Training in statistics and substantial experience in the application of statistical methodologies, including generalized linear models, to biological research;
  • Demonstrable expertise in programming (e.g., Perl/Python, BioPerl, Java, R, MySQL);
  • Expertise in UNIX-based computational environments;
  • Ability to work effectively and productively in a diverse, team-based environment.

To apply, go to and search for job ID# 16776 (direct link).

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