Postdoctoral Fellow, Computational Biology:
The Petti lab in the Brain Tumor Research Center at Massachusetts General Hospital (https://pettilab.mgh.harvard.edu/) is seeking to fill a post-doctoral research position in computational biology/single-cell genomics. We use computational approaches to analyze, integrate, and interpret genomic data — particularly single-cell RNA-sequencing, spatial transcriptomic, and exome sequencing data — to better understand intratumoral heterogeneity, gene regulatory networks, and the immune microenvironment in human cancer. The postdoctoral scholar will be involved in projects that use cutting-edge techniques to address topics such as the interplay of genetic, transcriptional, spatial, and immunological heterogeneity in brain tumors (e.g. meningioma, glioblastoma, pituitary adenomas, and brain metastases). Opportunities to initiate and lead projects, develop new analytic methods, publish, participate in ongoing group projects, and be co-mentored by faculty collaborators are plentiful. Individuals seeking to apply for this position should have a doctoral degree in computational biology, bioinformatics, genomics, computer science, statistics, biology, genetics, genomics, or a related field, with a solid background in both programming and biology. Applicants must be comfortable working on a UNIX/Linux operating system, program in R and either Python or Perl, and have experience with command-line bioinformatics tools. Some background in machine learning and/or statistics is strongly preferred. Interested applicants should submit a curriculum vitae to apetti@mgh.harvard.edu.
Postdoctoral Fellow, Integrated Wet-lab and Computational Biology:
The Petti lab in the Brain Tumor Research Center at Massachusetts General Hospital (https://pettilab.mgh.harvard.edu/) is seeking to fill a post-doctoral research position in single-cell cancer genomics. We use genomic techniques such as single-cell RNA-sequencing, spatial transcriptomics, and genome sequencing — to better understand intratumoral heterogeneity, gene regulatory networks, and the immune microenvironment in human cancer. The postdoctoral scholar will be involved in projects that use cutting-edge techniques to address topics such as the interplay of genetic, transcriptional, spatial, and immunological heterogeneity in brain tumors (e.g. meningioma, glioblastoma, pituitary adenomas, and brain metastases). This position is ideal for someone who would like to combine wet-lab work (data generation) with computational analysis. Opportunities to initiate and lead projects, develop new analytic methods, publish, participate in ongoing group projects, and be co-mentored by faculty collaborators are plentiful. Individuals seeking to apply for this position should have a doctoral degree in genetics, genomics, cell biology, molecular biology, computational biology, immunology, or a related field. Experience in single-cell library generation, cell culture, flow cytometry, microscopy, and next-generation sequencing library preparation is preferred. Demonstrated ability and experience in data analysis using Python and/or R is desirable. Interested applicants should submit a curriculum vitae to apetti@mgh.harvard.edu.
Bioinformatics Research Technician:
The Petti lab in the Brain Tumor Research Center at Massachusetts General Hospital (MGH) (https://pettilab.mgh.harvard.edu/) is seeking a motivated Research Technician to assist in the organization, analysis, and interpretation of large-scale genomic data, with an emphasis on single-cell RNA-sequencing, spatial transcriptomic, and exome sequencing data. Current projects address topics such as the interplay of genetic, transcriptional, spatial, and immunological heterogeneity in brain tumors such as glioblastoma, meningioma, pituitary adenomas, and brain metastases. The technician will work in a highly collaborative environment, involving extensive interaction with faculty, molecular biologists, computational biologists, programmers, and clinicians. This position will assist in developing and conducting research projects, including experiment design, data management, data analysis, and documentation of results. Please see full description here. Interested applicants should submit a curriculum vitae to apetti@mgh.harvard.edu.