Postdoctoral Positions in the Lab of Isaac Kohane ("Zaklab")

Areas of focus

  • Cancer treatment response
  • AI to automate patient diagnosis

Cancer treatment response
Summary

Rare individuals with aggressive cancers will have long-term lasting response to therapy even when most do not. We are trying to understand why. DBMI Professor and Chair Isaac Kohane seeks a postdoctoral fellow to lead the genomic analyses of these individuals (including somatic and germline genome). In the course of the analyses you will work with a small team, including scientists in the pharmaceutical industry, that will help integrate other analyses of these individuals.

Requirements
  • Experience with NGS bioinformatics analyses
  • Experience with R or Python scripting
Apply

Send email to admin@zaklab.org


AI to automate patient diagnosis
Summary

Join a project to automate diagnosis using artificial intelligence so that both patients and doctors can improve the accuracy and clinical value of diagnostic decision-making. Be a member of a multidisciplinary biocomputing team and contribute to a public-facing project.

Requirements
  • Expertise in machine learning required.
  • Familiarity with embeddings helpful but not required.
Apply

Send email to admin@zaklab.org.


Harvard Medical School is an Equal Opportunity/Affirmative Action Employer.

Women and minorities are especially encouraged to apply.