The Harvard Medical School Laboratory of Systems Pharmacology is seeking a postdoctoral level computational biologist to work on a DARPA-funded project (www.darpa.mil/news-events/2018-11-28) to develop novel experimental and computational platforms that accelerate drug discovery in the area of pain and inflammation. The role will bridge the experimental and computational aspects of the project to identify possible drug targets by applying network-guided inference to phenotypic assays for pain modulators. The postdoc will be mentored by Dr. Peter Sorger and will work as part of an interdisciplinary team developing tools for automated reasoning to accelerate scientific discovery (indralab.github.io).
The ideal candidate will have prior experience in neurobiology or other fields related to pain and inflammation. Responsibilities will include integrating data generated across multiple labs and assays (imaging, electrophysiology, transcriptomics and proteomics), analyzing it with in-house software tools, and interpreting the results to prioritize follow-up experiments. Programming and data analysis experience in Python preferred.
Interested candidates should email CVs and other inquiries.