Positions

Post Doctoral Researcher - Bioinformatics of Stem Cells and high dimensional data integration

We seek a creative computational biologist with experience in high dimensional data analysis and methods development. The ideal candidate will have a strong desire to manipulate and apply powerful methods that enable stem cell biologists to determine the key functions driving normal and pathological stem cell development and cancers.

Our group has developed a systems-level description of pathway activity that unifies functional interpretation of expression profiles. Using this, and other systematic referenced approaches to description of biological activity in the cell, we are classifying cancer and cell types to reveal the processes that define each cell type and cancer. In turn, comparison between normal and aberrant classified states allows us to infer the key processes that confer the disease state. By coupling these inferences together with regulatory and functional genome based information we are able to reveal key processes of disease initiation and progression. By working closely with members of the Harvard Stem Cell Institute, using public information and data from our collaborators we are able to determine key disease processes linked to normal and aberrant lineages of cell populations. We seek to apply this approach to better understanding of the pathways and therapeutic targets of melanomas, leukemias and gliomas.

This position is a fundamentally important one and we are seeking a highly motivated individual who relishes challenge and is not shy about diving into complex datasets. You should have an excellent working knowledge of a programing language - including R and scripting. A sound knowledge of statistics is an advantage.

Minimum of a year’s post doctoral experience preferred. Good publications, strong communication skills, and excellent writing skills essential.

apply directly to Win Hide - whideAThsph.harvard.edu