Research Fellow

Mass General Brigham • Boston, MA

3d • Onsite

About The Position

Epigenetic and transcriptional regulation of gynecologic cancers The St. Laurent Lab at the Brigham and Women’s Hospital and Dana Farber Brigham Cancer Center in Boston is recruiting multiple Postdoctoral Fellows. Our lab investigates the fundamental mechanisms driving gynecologic cancer development, specifically focusing on the interplay between epigenetic and transcriptional regulatory processes. We provide training in liquid handling robotics and automation, epigenomics, utilizing clinical samples, ex vivo models, murine models, high throughput sequencing technologies and bioinformatic data analysis. This research will provide postdoctoral fellows with a unique skill set at the intersection of cancer biology, chromatin organization, epigenetics, and translational research. We are seeking translationally-minded scientists eager to conduct research with a direct impact on improving patient outcomes. As part of the Gynecologic Oncology Division at Brigham and Women's Hospital, Dana-Farber Brigham Cancer Center, and the Dana-Farber/Harvard Cancer Center, our lab offers a vibrant, multidisciplinary training environment. We prioritize the development of professional skills, foster a strong publication record, and support grant application efforts to empower trainees for independent research careers. We actively collaborate with researchers at Harvard Medical School, MIT, and internationally to broaden research horizons and enhance future career prospects.

Requirements

• PhD and/or MD
• Expertise in one or more of the following: Epigenomics: chromatin profiling, ATAC seq, scRNA seq
• Expertise in one or more of the following: Ex vivo models: organoid generation, tissue engineering, microfluidics
• Expertise in one or more of the following: Microscopy: high-content imaging, high-resolution microscopy techniques, imaging data analysis
• Expertise in one or more of the following: Computational biology: bioinformatics, machine learning, data science
• Expertise in one or more of the following: Immuno-oncology: cell culture models, fluorescence activated cell sorting

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree