A research position is available in Dr. Vikas Bansal’s research group at the University of California San Diego for postdoctoral research in Computational Genomics. The group focuses on developing computational methods for the detection and analysis of genetic variation using high-throughput DNA sequencing technologies and applying these methods to understand human disease. The lab has developed computational methods for haplotype phasing (HapCUT2), small variant calling (Longshot, Nature Communications 2019) and read mapping in segmental duplications (Nucleic Acids Research 2020) using long-read sequencing technologies. Long-read sequencing technologies have the potential to overcome some of the key limitations of short-read sequencing, particular in long repetitive regions of the human genome, but require the development of new algorithms. The selected candidate is expected to work on developing computational methods and tools for long-read sequencing technologies and applying them to human genome analysis. The position is funded by a federal grant for at least three years. Individuals interested in a staff scientist level position are encouraged to apply. Salary is negotiable and will be commensurate with experience and skills.
Ph.D. in Computer Science, Bioinformatics, Applied Mathematics or related field
Proficiency in programming (preferably in C/C++/Python) and algorithms
Experience working in a Unix/Linux computing environment with large datasets
Proficiency in scientific writing and communication
Candidates with strong analytical skills and background in algorithms or experience in analyzing DNA sequence datasets will be given preference
To apply, please send an email to Dr. Vikas Bansal at vibansal@ucsd.edu with your CV, contact information for 2-3 references and a brief statement of research experience and interests. More information about the publications and research projects of the lab is available from bansal-lab.github.io