Broad Institute

The Carpenter–Singh laboratory at the Broad Institute of Harvard and MIT is seeking a postdoctoral researcher to lead efforts in analyzing a first-of-its-kind toxicology dataset.

Go to https://broad.io/mlcbpostdoc to see this posting with hyperlinks to our papers/webpages.

As leaders of the OASIS Consortium, which brings together 40 pharmaceutical/agrochemical companies, government agencies, academic labs and non-profit organizations, we aim to develop novel approaches for predicting liver toxicity to reduce reliance on animal testing and increase the accuracy of safety assessment. The dataset includes high-dimensional readouts including Cell Painting, transcriptomics and proteomics.

This project encompasses:
- Developing predictive models for liver toxicity using multi-modal data
- Assessing concordance between rat and human cell responses
- Comparing and combining multi-omic data to predict liver toxicity

Our lab pioneered Cell Painting, a leading image-based profiling assay used worldwide to quantify biological processes. Our open-source CellProfiler software, cited in over 19,000 papers, has enabled discoveries leading to several clinical trials. We also launched a major Cell Painting consortium with ten pharmaceutical companies to produce the largest public Cell Painting dataset. Through OASIS, we are creating the largest public dataset combining Cell Painting, transcriptomics, and proteomics for toxicity assessment.

Ph.D. required in one of the following:
- Computational field (Data Science, Computer Science, Computational Biology, Bioinformatics, Cheminformatics, or related) with data science experience in toxicology or related biomedical domains
- Toxicology or Pharmacology with familiarity with data science concepts and applications

Expertise in tox-related databases, ADME/DMPK principles, regulatory frameworks for safety assessment, and analysis of large-scale and/or high-dimensional biological data is highly desired. The ideal candidate will demonstrate outstanding initiative, organizational ability, communication skills, and experience working in collaborations, especially large ones.

In your cover letter, please describe your relevant expertise (tox and computational), and interest in developing alternative methods for safety testing, including relevant data analysis projects with code samples. Apply online at Broad Careers. Starting stipend is $70,000; more with post-PhD experience.

About us: Our mission is to uncover biological knowledge by developing advanced methods to quantify and mine the rich information in images. We work as a collaborative team making discoveries to influence patient treatment. Our lab offers a professional, conscientious environment passionate about driving scientific progress.

PS: Fancy living in the UK instead? Join the Ewald lab at EMBL-EBI (https://ewaldlab.org/contact/) who is collaborating on this project!