22 days ago
Institution/Company:

Broad Institute of MIT and Harvard, Imaging Platform

Location:

Cambridge

, Massachusetts

 United States

Job Type:

Postdoctoral

Degree Level Required:

PhD

Apply now
Description:
Funded postdoc positions in the Carpenter-Singh lab in Cambridge MA USA (Broad Institute of Harvard and MIT), paying $70,000 (or more with years of experience post-PhD) with a flexible start date.

There are two projects:
– Rapidly identifying disease phenotypes from rare disease variants, and drugs to reverse their impact (as part of the NIH IGVF Consortium https://www.youtube.com/watch?v=8RcsC4a2Ews&list=PLJG0u60zazOtRAwamVGhaJ6eGqh-HASvw&index=6)
– Using Cell Painting, transcriptomics, and proteomics data to predict the toxicity of drugs and agrochemicals (as part of the OASIS Consortium https://oasisconsortium.org)Both projects will have copious data produced by this time next year!

Learn more here and apply: https://docs.google.com/document/d/1R5kSSUX4A3x0CZYsTUdUtxPJYHRwZ04SIl5G06_MrlQ/preview

Responsibilities:

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
Qualifications:

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.

Additional Information:

About us: Our lab’s mission is to uncover biological knowledge by developing advanced methods to quantify and mine the rich information in images. We love working as a team towards scientific goals: discovering the inner workings of biological systems and influencing patient treatment. We love making open-source software that impacts the world. We are conscientious and enjoy a professional, no-fuss environment, and are passionate about what we do while frowning on workaholism.

Keywords:

Postdoctoral position

Computational Biology

Broad Institute of Harvard and MIT

Carpenter-Singh laboratory

Biomedical research

Data Science

High-throughput imaging

CellProfiler software

Image analysis

Drug discovery

Cell Painting

Deep learning

Python/R notebooks

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