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.
