Postdoctoral Positions in the Lab of Marinka Zitnik
The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Zitnik Lab are looking for a Postdoctoral Fellow for research in novel biomedical machine learning and data science methods. Biomedical data involve rich interactions that span from the molecular level to the level of connections between diseases in a patient and to the societal level encompassing all human interactions. These interactions at different levels give rise to a bewildering degree of complexity, which is only likely to be fully understood through data-driven and computationally enabled study. We are investigating machine learning for biomedical sciences, focusing on new methods for learning and reasoning over rich interaction data and on translation of these methods into solutions for biomedical problems. This scientific approach not only opens up new avenues for understanding nature, analyzing health, and developing medicines to help people but can impact on the way predictive modeling is performed today at the fundamental level.
Among others, possible research projects include:
- Representation learning for biomedicine in an effort to set sights on new frontiers in genomics, drug discovery, and precision health beyond classic applications of neural networks on image and sequence data.
- Network embedding methods in an effort to bridge the divide between basic science and patient data.
- Fusion of diverse data into knowledge graphs in an effort to combine biomedical data in their broadest sense to reduce redundancy and uncertainty and make them amenable to analyses.
- Next-generation algorithms for networks, focusing on large networks of interactions between biomedical entities and their applications to network biology and medicine.
- Contextually adaptive AI in an effort to advance algorithms to train more with less data and reason about never-before-seen phenomena as algorithms encounter new patients, diseases, or cell types.
We seek a highly-motivated candidate with strong research skills and background in machine learning and/or applications in bioinformatics and computational medicine. Candidates must have a Ph.D. or equivalent degree in a field relevant to biomedical data science, such as computer science, statistics, engineering, biomedical informatics or computational biology. Strong programming skills and experience with large-scale data analysis and deep learning frameworks are a plus.
The position is available immediately and can be renewed annually.
How to apply
Submit your application with a letter indicating your research interests and experience, a CV, names and email addresses of 2-3 references, and copies of two representative publications via email to firstname.lastname@example.org. We encourage applicants also to include links to any software they have developed.
Harvard Medical School is an Equal Opportunity/Affirmative Action Employer. Women and minorities are especially encouraged to apply.