Carpenter Lab

Sabbaticals

We welcome professors to our group as visiting scientists for sabbaticals. Please contact imagingadmin(at)broadinstitute.org for more information.


Postdoctoral opening [PDF]

The Carpenter laboratory (a.k.a. Imaging Platform) at the Broad Institute of Harvard and MIT has an opening for a highly motivated postdoctoral researcher with a strong record of accomplishment in computational research, specifically, a record of machine-learning–related publications in top-tier conferences or journals.

Our lab develops and applies methods for extracting quantitative information from high-throughput biological images. We are best known for creating and maintaining the open-source CellProfiler project, launched more than 100,000 times per year around the world by biologists quantifying biological processes in images. We collaborate with dozens of biomedical research laboratories to identify disease states, potential therapeutics, and gene functions from microscopy images.

We seek a postdoctoral researcher to join our efforts to glean insights from large collections of images. This work is based on the hypothesis that there is much more information present in microscopy images than is commonly perceived by eye. We aim to harvest this information through profiling, developing novel methods to characterize cellular populations at single-cell resolution such that similarities and differences among treatments can be described productively. This work has the potential to transform how both the targets and treatments for disease are identified.

We are testing these ideas in several projects, including:

The ideal candidate will have a very strong computational background and a high level of comfort distilling knowledge from messy data and messy questions. Communicating clearly with the biology domain experts is critical for success in this role. Experience with biological data and imaging data is preferred, as are software development skills (we tend to use Python). Although the major focus of this effort involves machine learning and large-scale data mining, there will be some opportunity for research on image processing algorithms if desired.

To apply: Please send CV and letter describing interests to downing@broadinstitute.org.


Associate Computational Biologist

The Carpenter laboratory (a.k.a. Imaging Platform) at the Broad Institute of Harvard and MIT has an opening for a highly motivated associate computational biologist.

The Imaging Platform develops and applies methods for extracting quantitative information from high-throughput biological images. We are best known for creating and maintaining CellProfiler, an open-source program that is launched more than 90,000 times per year by biologists around the world. We collaborate with dozens of biomedical research laboratories to identify disease states, potential therapeutics, and gene functions from microscopy images.

We seek an Associate Computational Biologist to join our efforts to glean insights from large collections of images. The work is based on the hypothesis that there is much more information present in microscopy images than is commonly perceived by eye, and that we know very little about the appropriate targets for many diseases. We aim to harvest this information through profiling, and we are working to develop novel methods that can characterize cellular populations at single-cell resolution such that similarities and differences between the mathematical models correspond to the biological differences between the populations of cells. We are applying these ideas to several projects, including:

The Broad institute provides a vibrant interdisciplinary research environment with close links to MIT, Harvard and the Harvard-affiliated hospitals in the Boston area. Your intellectual contributions will be used and recognized across the vast global network of researchers in the biomedical fields.

Characteristic duties

Together with other members of our data analysis team, you will:

Requirements

To apply: Please send CV and letter describing interests to downing@broadinstitute.org.