The Sharpe lab is seeking a highly motivated individual to join our team as a Computational Biologist. This individual will be mentored by Dr. Arlene Sharpe, an expert in T cell biology and cancer immunology. The Sharpe lab uses cutting edge techniques including CRISPR/Cas9 genome editing, preclinical mouse models, and single-cell RNA sequencing to improve our understanding of T cell costimulatory pathways in health and disease. The individual will have the opportunity to participate in the analysis of both mouse and human genomic datasets, and identification of novel targets and pathways for cancer immunotherapy and autoimmunity. The individual will have the opportunity to work closely with experimental biologists to interpret and validate findings. The individual will join a pre-existing computational core within the lab, composed of at least one other associate computational biologist and experimental biologists with varying levels of computational experience, all of whom will be involved in day-to-day mentoring, training, and discussions. In addition, we have pre-existing collaborations with dedicated computational biology groups. This individual will have the opportunity to interact and learn from these groups and the larger community at Harvard Medical School and the Broad Institute.
The successful candidate should demonstrate initiative and be invested in the success of research projects. He/she will have enthusiasm for taking a hands-on, problem-solving approach, learning on the job, and collaborating with research scientists and associates in an informal collegial work environment imbued with intellectual rigor. He/she should possess an outstanding academic record and strong communication skills, demonstrate innovative and analytical thinking, and enjoy working in an interdisciplinary team. The successful candidate should have the ability to design algorithms, apply statistical methods, innovate ways to analyze, integrate, visualize, and interpret a wealth of systems data that will directly inform discovery experiments and target advancement projects, requiring development of core domain knowledge in genetics, molecular biology, immunology, and computational biology. The successful candidate also should demonstrate experience with multi-tasking and have the ability to work independently as well as part of a team, and possess meticulous work habits with careful attention to detail. This work will be central to several major research projects, and co-authorship on high-impact publications is expected.
this is a 15 month term position with possibility of extension, contingent on performance and continued funding for the position.
Masters degree in biological sciences or a related field required. 5+ years experience in a related area.
Background knowledge in computational biology preferred, but most important are strong computational and quantitative skills. Strong programming skills and experience in algorithm development (using Python, R, Matlab, etc.) Coursework in Statistics Excellent oral and written English communication skills Ability to solve complex problems
EQUAL OPPORTUNITY EMPLOYER: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Internal Number: 53669BR
About Harvard University Medical School
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.