Massachusetts General Hospital

Postdoctoral fellowships in cancer proteomics

MGH Cancer Center

Boston, MA, MA, United States

The Haas Laboratory (https://www.massgeneral.org/cancer-center/clinical-trials-and-research/center-for-cancer-research/investigators/haas-lab) at the Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA, United States, is seeking highly-motivated candidates for two postdoctoral positions. We are leading experts in the field of quantitative mass spectrometry-based proteomics, and we are seeking candidates for two distinct projects.

Project 1: Identify cancer vulnerabilities suitable for personalized cancer treatment strategies.  We have developed a method to use quantitative proteomics for high-throughput mapping of global protein-protein interactions landscapes (interactomes) (Lapek et al. (2017) Nat. Biotechnol. 35(10):983-989).  Dysregulation of the interactome is a hallmark of cancer, but the specific functional consequences are poorly understood.  This project aims to map dysregulations of specific protein-protein interactions in cancer to identify those that can be exploited for treatment. Candidates with a PhD or MD/PhD in biology, biochemistry, chemistry, oncology, immunology, or a related field are encouraged to apply. Strong technical expertise in biochemistry and molecular biology is required. Experience in working with mouse models is desired. Candidates with experience in mass spectrometry-based proteomics are preferred but the experience is not required. Candidates should show a strong interest in learning new techniques and an interest in working with big datasets.

Project 2: Early cancer detection through plasma proteomics.  High-throughput proteomics has the potential to revolutionize early detection of cancer.  We seek to develop new methods in high-throughput mass spectrometry-based proteomics for the mapping of blood plasma samples with the goal of identifying biomarkers for early detection of cancer.  The optimal candidate has a PhD in chemistry, physics, engineering, machine learning, computational sciences, or a related field. Candidates should have a strong background in programming. Experience in working with mass spectrometers is desired. Candidates should show a strong interest in working with large datasets and on biological and clinical questions.

We are a multi-disciplinary team across biology, chemistry, and bioinformatics, and the lab is equipped with multiple state-of-the-art, high-performance mass spectrometers. The laboratory is supported by several funding sources from NIH and industry.

Interested candidates should send a cover letter, their CV, and contact information of at least two references to Wilhelm Haas (HaasPostdocSearch@mgh.harvard.edu).

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Postdoctoral fellowships in cancer proteomics