Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.
JOB DESCRIPTION: Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.
MINIMUM QUALIFICATIONS: A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.
A 2-3 year post-doctoral position is immediately available in the lab of Dr. Yana Bromberg, in the departments of Biology and Computer Science, Emory University, Atlanta. The Bromberg lab is purely computational, studying molecular functionality at all protein-enabled scales. We are seeking a highly motivated scholar to continue training in an exciting research laboratory with a focus on exploring molecular functionality encoded in genome data. Specifically for this project, we will explore the contribution of protein language models (PLMs) to our understanding of the biological molecular mechanisms, exposing fundamental properties and organization of the PLM-learned representation space. We will develop/optimize PLMs to provide deeper insight, understanding, and discovery of the structural, functional, and evolutionary organization across protein space. This work will be carried out in collaboration with Dr. Amarda Shehu’s lab at George Mason University and Dr. Burkhard Rost’s lab at the Technical University of Munich.
Applicants must hold a Ph.D. in Computational Biology, Bioinformatics, or related fields. Candidates with non-bioinformatics degrees but possessing the necessary computational skill-sets are welcome to apply. Programming skills are required, as well as experience with machine learning, and some familiarity with the major bioinformatics tools/databases. Experience with high performance computing and protein function and/or structure analysis is highly desired, but not required.
Candidates should be fluent in spoken and written English and should be able to communicate their ideas well. The ability to integrate into a team is as essential as that to complete a project without constant supervision.
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