We are looking for creative, energetic, and collaborative computational biologists to join our interdisciplinary team to understand the function of the genome, to map the cellular states in a body, and to elucidate the transcriptional control mechanisms underlying developmental processes and diseases. We currently have multiple openings at the Postdoctoral Fellow and Bioinformatic Analyst levels in the following areas.
1. Single Cell Analysis. Develop novel methods for analyzing, visualizing, and integrating single-cell resolution imaging data containing spatially resolved transcriptomic, morphological, chromatin, and/or functional information. Integrate sequencing- and imaging-based data types. Develop and maintain robust, efficient, and user-friendly software packages. Collaborate with basic and clinical scientists to solve various biomedical questions using single-cell analyses.
2. Cancer Epigenetics. Develop novel methods/software for analyzing and visualizing high-dimensional, multi-scale epigenomic data. Engage in collaborations with cancer biologists and physicians to investigate mechanisms underlying cancer initiation, progression, and treatment response.
Our long-term goal is to develop systems biology approaches to gain mechanistic insights into development and cancer. More details about our research can be found at the following website: ds.dfci.harvard.edu/~gcyuan/.
We encourage candidates with diverse background to apply. The applicant may either hold a PhD degree in quantitative science with strong interest to develop computational methods for solving biomedical problems, or hold a PhD/MD degree in biology/medicine with strong interest to develop/apply systems biology approaches. The ideal candidates will have strong programming and communication skills and prior experience in analyzing omic scale data. The level of the position is commensurate to past experience and career development goals.
Please send a cover letter, updated CV, and the contact information of two references to Dr. Guo-Cheng Yuan