Dr. Sheng Li’s lab at JAX-GM in Hartford, CT area is seeking a computational biology postdoctoral associate who is interested in studying 3D epigenomics. The Li Lab’s primary interests are computational biology and machine learning with a focus on 3D genomics and epigenomics in normal and cancer systems. For additional information, visit the Li Lab: www.shenglilab.com.
Salary is competitive and will be supplemented with funding for computational equipment and for attending national and international conferences.
Responsibilities:
Develop principled methods, based on machine learning and advanced statistical modeling techniques to address biological questions.
Analyze massive functional genomics data at single cell and population levels.
PhD in Computational Biology, or related quantitative area.
A strong background in machine learning or substantial experience analyzing large 3D genome, epigenome, or transcriptome datasets.
Programming experience in R, Python, or C++.
Publications in peer-reviewed journals.
Strong problem-solving skills, excellent communication skills, and enthusiastic about science.
Please apply through the online application system on the job post.