The Massachusetts General Hospital Department of Pathology is looking for exceptional candidates to join the Computational Pathology Research Group. The successful candidates will join an interdisciplinary team working in Cancer Biology, with a particular focus on integration of large datasets including genomic scale next-generation sequencing data, single cell RNAseq, ATACseq, multiomics, and epigenetics applied to basic, translational, and clinical research. The successful candidate will be part of the Molecular Pathology Research Unit (https://www.massgeneral.org/pathology/research) and will interact with faculty in both MGH Pathology and the MGH Center for Cancer Research. This is a vibrant research environment comprising computational, experimental, and clinical groups that have access to large repositories of patient samples, data sets, and laboratory-based collaborators.
PRINCIPAL DUTIES AND RESPONSIBILITIES
Projects will include integration of cancer genome, transcriptome, and epigenome data; analysis and pipeline development for single cell sequencing platforms (RNAseq, ATAC-seq, multiomics, Velocity trajectory analysis); interrogation of clinical samples and materials from basic and translational research. Typical responsibilities will include applying and developing algorithms for the analysis of next-generation sequencing data (DNA, RNA ChIP-seq, ATAC-seq), single cell data sets, developing integrated data visualization and analysis tools and producing robust software solutions.
In person and hybrid work options will be available to qualified applicants. Off site, entirely remote working will be considered but not preferred.
Please email a curriculum vitae, list of publications, three references, and brief statement of computational research interests as a single PDF to:
Computational Pathology Staff Scientist
c/o Ms. Susan Smith
Molecular Pathology Unit
Massachusetts General Hospital
149 Thirteenth Street, Room 6133
Charlestown, MA 02129
Qualifications SKILLS AND COMPETENCIES REQUIRED
Strong programming skills (e.g., R, Python, MATLAB, C++), experience in algorithm development and knowledge of statistics and computational data analysis are required. Knowledge of cancer biology/genetics is preferred.
Candidates will be expected to have an MS, PhD, and/or MD with an established focus on computational biology; outstanding academic records; and strong communication skills. Two years post-doctoral research experience in an academic or industry setting is preferred.
EEO Statement Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.Partner's Healthcare is acting as an Employment Agency in relation to this vacancy.
MGH Institute of Health Professions, founded by Massachusetts General Hospital in 1977, is an innovative and independent graduate school in Boston that is a member of Partners HealthCare. A progressive leader in developing comprehensive models of health care education, the MGH Institute prepares advanced practice professionals in the fields of nursing, physical therapy, occupational therapy and communication sciences and disorders through a distinctive combination of academic study, clinical practice, and research. More than 1,200 students are enrolled in graduate level and certificate programs, with an increasing number of courses available online. The Institute is accredited by the New England Association of Schools and Colleges (NEASC).