Dr. Shaolei Teng, a faculty member in the Department of Biology at Howard University in Washington, D.C., is seeking a highly motivated postdoctoral researcher to develop and apply bioinformatics approaches for analyzing the genetic variations associated with human diseases. The Teng Lab (http://tengbioinformatics.com/) focus on three research areas including machine learning, protein structure modeling and next-generation sequencing.
Responsibilities • Develop the machine learning tools for mutation and protein analysis. • Apply bioinformatics methods to analyze the disease-causing mutations. • Perform the molecular biology experiments to validate the biological impacts of mutations in Drosophila model. • Conduct statistical analysis and data interpretation responsibilities as needed. • Help in coordinating the laboratory management and advise students. • Contribute to manuscripts resulting from research projects. • Present work at group meetings and conferences.
Qualifications Successful applicants will have: • PhD or equivalent degree in Bioinformatics, Genetics, Computer Science, Biostatistics or any relevant area. • A strong computational background, proficiency in at least one of the programming languages including Perl, R, Java and Python. • Experience with machine learning/deep learning and web/database development. • Ability to work independently and perform research projects with minimal supervision.
Preferred qualifications included: • A strong publication record. • Excellent communication skills. • Experience with the genetic experiments in transgenic Drosophila melanogaster (staining, imaging, electrophysiology, behavior, bioassays, RT-PCR etc.). • Skills in the computational biophysics (structure modeling, energy calculation etc.).
Applications will be accepted on a rolling basis and the position will remain open until filled. If you are interested, please send your CV and cover letter to Dr. Teng (shaolei.teng at howard.edu)
