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Join The Genomic Decryption Lab at the MMRI

The MMRI is located at the heart of the historic Mohawk Valley in Utica NY. The lab is in the foothills of the Adirondack Mountains, home to the largest public park in the contiguous USA where opportunities for outdoor activities abound across all seasons. In addition to its natural beauty, the Mohawk Valley is an exceptionally affordable area where a postdoc salary enables home ownership. Need some big city excitement? We are a quick 4 hour drive to NYC or Boston, where many of our academic and industrial collaborators operate their laboratories. 

The GDL@MMRI is an informal yet academically rigorous group that prioritizes the interests, ambitions and quality of life for each group member. Mentorship is tailored to the needs of the individual, and our goal is to help you meet your career goals. Finally, we aim to design and implement our projects with the joy and inventiveness that inspired our career choice in our youth. If this fits your vision of science, bring your collegial attitude, childlike curiosity, and creative ambitions here to the GDL@MMRI.

While we are actively recruiting for the following positions, we encourage those at any career stage with interest in our work to reach out by sending a cover letter and CV to We look forward to hearing from you!


Recent PhD graduate with an interest in cardiovascular biology. Our general focus is on translating genetic signals into meaningful mechanism which requires a diverse team of individuals. Therefore, postdoctoral candidates with experience in cell biology, molecular biology, computational biology, statistical genetics, bioengineering and other fields are all encouraged to apply. Our goal is to provide the environment to allow trainees to flourish, both capitalizing on previous expertise while training in new areas. We tailor mentoring to your career goals, whether it be academic, industrial, or public sector work, and will support your training to guide you down your desired path.


We are actively recruiting computational biologists at any career stage who have an interest in converting molecular data in meaning in the context of cardiovascular biology. Specific projects include defining epigenomic changes in normal and disease conditions, single-cell RNA sequencing for discovery and definition of novel cell states in human disease, large-scale CRISPR-mediated screening of coding and non-coding variant function, assessment of disease-causing variation in model organisms, and intersection of all previously mentioned data with human population genetics and health outcome data.

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