Fellowship, internship, and employment opportunities will be posted here when they become available.  If you are interested in partnering with the LSP, please feel free to reach out to the LSP leadership on our Contact page.  Also, please follows us on Twitter and LinkedIn for current information.

Single Cell Core Scientific Director

The Single Cell Core @ HMS is seeking a Scientific Director to help bring the most current applications of single cell sequencing to the core and the HMS community. The mission of the Single Cell Core (SCC) is “To enable breakthrough discoveries at HMS labs by assisting in the design, execution and interpretation of single cell genomics assays, utilizing cutting-edge, state-of-the-art tools.” This is an exciting leadership opportunity for a scientist wishing to explore a career path in developing single cell sequencing technology and work creatively with users to design and execute their experiments.

Postdoctoral Fellow using Geographic Information Systems (GIS) to characterize the microenvironment of human tumors

Harvard Medical School seeks to recruit an outstanding postdoc to apply methods developed for the analysis of geographic and ecological features in GIS (Geographic Information Systems) to the understanding of human cancers.Human tumors are complex ecosystems involving cancer and immune cells as well as supporting tissues and vasculature in a complex three-dimensional tissue. This will involve applying geospatial analytics, spatial and spatiotemporal statistics, environmental image processing, and ecosystem modeling techniques to human tumor images collected using very recently developed methods. This is a joint appointment between the Harvard University Center for Geographic Analysis (CGA) and the Harvard Medical School Laboratory of Systems Pharmacology (LSP).

Lead Software Engineer in Cloud-based Data Management and Processing

We seek a lead software engineer to lead a project funded by the National Cancer Institute (NCI) that seeks to revolutionize how cancers are diagnosed and analyzed by building on-line cancer atlases combing high dimensional image and genomic data. The work is conducted as part of a multi-institution initiative and all software we release is open source. The project involves scientists and engineers in diverse disciplines based at Harvard, Dana Farber Cancer Institute, MIT, and the Broad Institute, providing a unique opportunity to participate in world-class research that impacts human health and security. More information about the project and an early version of a data browser on which a tumor atlas is being build can be found at https://www.cycif.org/; GitHub repositories and scientific publications are referenced at this site.