Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Postdoctoral Research Fellowship in AI for Cancer Drug Discovery
Prof. Marinka Zitnik invites applications for a Postdoctoral Research Fellowship position at Harvard University. The fellow will lead the design, development, and implementation of novel AI methods for the analysis of clinical and biomarker data in oncology.
Responsibilities
- Develop novel approaches in deep learning, graph AI, and transfer learning for cancer biomarker discovery, target identification, selection of drug combination partners, patient enrichment, and disease characterization.
- Collaborate closely with Roche computational and biomarker scientists through the “Roche Access to Distinguished Scientists Programme”.
- Benefit from a rich environment for education and career development at Harvard University.
Requirements
- PhD degree or equivalent in computational biology, biomedical informatics, computer science, statistics, or a closely related field.
- Background in one or more of the following areas: deep learning, computational biology, therapeutic science, cancer data science, and network science.
- Strong programming skills and experience with deep learning frameworks and its biomedical applications.
- Demonstrated ability to translate ideas to action and complete projects effectively.
- Multiple publications in top venues in data science, machine learning, and computational biology.
- Strong analytical and oral communication skills.
Nice to Have
- Experience in cancer data science or therapeutic science.
We Offer
- Competitive salary and excellent benefits package.
- Opportunities for collaboration and learning within Harvard Medical School and other Harvard schools, institutes, and centers.
- Mentorship by Roche computational and biomarker scientists.
About the Company
Harvard University is an Equal Opportunity Employer.
Application Process
The position is available immediately and can be renewed annually. Interested applicants should submit the following documents via email to Prof. Zitnik and use the subject line “Postdoctoral Fellowship in AI for Cancer Drug Discovery”:
- Cover letter describing your interest in the position, relevant experience, and career goals.
- Curriculum Vitae (include link to your academic webpage and links to software you developed).
- Two representative publications (e.g., published or unpublished manuscripts).
- Names and email addresses of three references.
We are currently reviewing applications for this position. Interested candidates are encouraged to submit their applications as soon as possible.
Faculty and Mentors
Dr. Marinka Zitnik is an Assistant Professor at Harvard with appointments in the Department of Biomedical Informatics, Broad Institute of MIT and Harvard, and Harvard Data Science. Dr. Zitnik has published extensively in top ML venues and leading scientific journals. She has organized conferences and workshops in graph representation learning, drug discovery, and precision medicine at leading conferences (NeurIPS, ICLR, ICML, ISMB, AAAI, WWW), where she is also on the organizing committees.
Dr. Daniel Marbach, a computational biologist and Principal Scientist Bioinformatics at Roche, will serve as mentor for the fellow, together with his team of scientists. Dr. Marbach has long been engaged in open science collaborations involving academia and industry as an organizer of multiple DREAM Challenges, which included hundreds of participating teams and were published in leading journals. Dr. Marbach is an expert in computational network biology and advanced analytics in drug discovery.