Proteomics Specialist in Single Cell and Spatial Proteomics

The highly interdisciplinary and collaborative proteomics group at the Broad Institute of MIT and Harvard is looking for strongly motivated post-doctoral associates with relevant experience to step into exciting, highly visible and impactful roles in internationally-recognized efforts to develop, adapt and integrate microscopy-based imaging techniques to state-of-the-art proteomics technologies and tackle questions related to spatial biology, tissue organization and intercellular interactions.

An ideal candidate must have experience in cellular and tissue imaging including hands-on-microscopy, imaging automation and data analysis and willingness and aptitude to develop and apply robust technologies interfacing microscopy with tissue proteomics.
Successful candidates will work as part of an interdisciplinary team of clinicians, biologists, computational and proteomics scientists at the Broad and with an international group of renowned partner institutions. The anticipated projects aim to deeply characterize and understand the spatial diversity of proteomes and their post-translational modification in tissues and model systems. A key outcome for successful candidates is that they will become expert in state-of-the-art mass spectrometry-based tissue proteomics and data interpretation.

Candidates must have:

• An MD and/or Ph.D. In biology, biochemistry, or a closely related field
• Cellular and tissue imaging including hands-on microscopy, automation, and imaging data analysis.
• Experience with formalin-fixed paraffin-embedded (FFPE) tissue processing and/or laser capture microscopy
• Excellent scientific productivity, evidenced by high-quality research publications in peer reviewed journals.
• A track record of conducting independent and creative research.
• Excellent verbal and written communication skills

Practical skills and knowledge in one or more of the following areas are beneficial:

• State-of-the-art mass spectrometry-based proteomics
• Single-cell genomic or proteomic technologies
• Computational pathology skills and software knowledge
• Understanding of cell signaling pathways/networks
• Cell biology/ biochemical methods to understand protein function.
• Molecular biology/crispr-based genome editing
• Experience with Flow cytometry