Postdoctoral position: Computational Biology

We seek a researcher to join our efforts to glean insights from large collections of images. There is much more information present in microscopy images than is commonly perceived by eye. We harvest this information, developing novel methods to characterize cellular populations at single-cell resolution. This work has the potential to transform how both the targets and therapies for disease are identified.

We aim to revolutionize the process of drug discovery in several projects, including:

• Identify the function of unknown genes and predict mutation impact, for personalized medicine
• Repurpose existing drugs to new diseases
• Identify new therapies for bipolar disorder and psychosis, based on cell morphology changes 
• Predict how new chemical compounds act in cells
• Predict and classify toxicity of compounds destined for clinical trials or agrochemical use

Ph.D. required, in a quantitative discipline such as Computer Science, Bioinformatics, Computational Biology, Physics, or Math. Large-scale data analysis experience is required, as is enthusiasm for biology/biomedicine. Must demonstrate outstanding personal initiative, organizational ability, communication skills, and teamwork. In your cover letter, please describe your overall career interests, why this work would suit you, and what you would aim to learn. Please include specific examples of data analysis projects you have undertaken, including links to sample Python/R notebooks demonstrating your skills. Apply online at Broad Careers. Starting stipend is $70,000; more if you have experience post-PhD.