Post-doctoral fellowships targeting gene regulatory factors in cancer
Post-doctoral fellowships are available in the Ott Laboratory (ottlab.org) at the Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School – Boston, MA, United States. We are a team of dedicated scientists that use the disciplines of computational biology, chemistry, and functional genetics to define novel gene regulatory targets for cancer. Specifically, we are interested in developing early-stage chemical probes to target essential chromatin modulators and transcriptional regulators in lymphoid malignancies (leukemia, lymphoma, myeloma).
Chemical/molecular biology of essential gene regulatory factors in cancer
The lab is recruiting a post-doctoral molecular or chemical biologist with a significant interest in using functional/chemical genetic tools to probe the essential gene regulatory factors of lymphoid malignancies. The ideal candidate(s) will have a Ph.D., M.D., or M.D./Ph.D. in molecular biology, pharmacology, oncology, or related discipline. Familiarity with computational tools useful for genomics and epigenomics research is desirable. Available projects in the lab include understanding mechanisms of cancer cell dependency on lineage-defining gene regulatory factors and associated epigenetic machinery, high-throughput assay design and screening for novel chemical probes, functional genetic screening with gene editing technology to identify new therapeutic targets, and genome-wide chromatin structure analysis to understand gene regulatory malfunction in cancer cells.
Computational biology and biochemistry
The lab is recruiting a post-doctoral computational-based scientist with a significant interest in using computational tools to probe the essential gene regulatory factors of cancer cells. The ideal candidate(s) will have a Ph.D., M.D., or M.D./Ph.D. in computational biology/chemistry/biochemistry or related discipline. Expertise with one or more of the following is desired: analysis of 3-dimensional chromosome conformation datasets (HiC, HiChIP), genome-wide epigenomics/transcriptomics datasets (ChIP-seq, ATAC-sec, RNA-seq, single-cell omics), high-throughput in silico virtual ligand docking, in silico modeling protein:protein interactions.
Fellows in the laboratory have a high level of self-motivation, excellent communication skills, and the ability to work diligently and cooperatively with others. Successful applicants will be able to work independently, maintain high standards of laboratory safety, and display the intellectual curiosity required to effectively lead multidisciplinary projects.
Interested candidates should send a cover letter, CV, and the contact details of at least two references directly to:
Christopher Ott, PhD