Learning single cell dynamics Postdoctoral Fellow
Opening for a Postdoctoral Research Fellow to join the Gibson Lab at Harvard Medical School (HMS), Brigham and Women’s Hospital (BWH), and the Broad Institute of MIT and Harvard. We leverage tools from machine learning (ML) and control theory to better understand biological systems. While specific research questions may evolve over time, a key hallmark of our work is the careful co-design of computational and experimental models. Biological systems are simply too complex to be probed through either paradigm alone.
This specific project is focused on learning single cell dynamics from longitudinal (single cell or bulk RNA sequencing) data. You will have the freedom to explore different modeling approaches and inference paradigms. One initial approach could be to translate our model for learning microbial dynamics at scale MDSINE2 to handle RNA transcripts. Integration of multiple data modalities (e.g. bulk/single cell + spatial) will also be explored. Of auxiliary interest is the investigation of whether pseudotime based dynamics (inferred from individual time points) recapitulate actual dynamics as inferred from longitudinal data. For this work you will have access to some unique computing resources we have on premises in our department (32 A100s, 40 H200s, and more planned). We also have the capacity to perform in vitro or in vivo validation of model predictions.
Qualifications
- PhD from a quantitative discipline or direct experience with the research topic in the posting
- Solid programming skills in Python; you will need to be able to develop efficient implementations and apply your work to real data
- Strong publication track record
- Ability to reside in the U.S. and legally work in the country.
About the lab and fellow appointment
The Gibson Lab is physically located in the Division of Computational Pathology at BWH. All fellows have a triple appointment at BWH, HMS and the Broad. If necessary to conduct you work an official appointment at MIT can also be secured. For more information please go to the lab website: https://gibsonlab.io
Applications Process
Submit: (1) cover letter or research statement; (2) curriculum vitae; (3) two most relevant publications; (4) names and contact information of three individuals who can serve as references to: Travis Gibson, tegibson@bwh.harvard.edu. If you wish to chat briefly over Zoom before submitting materials to learn more details about our ongoing work, please inquire about this possibility