NHGRI logo

A postdoctoral training position is currently available in the Computational and Statistical Genomics Branch (CSGB) of the National Human Genome Research Institute (NHGRI). The position is located in the laboratory of Andy Baxevanis, Ph.D., whose research group uses comparative genomics approaches to better-understand the molecular innovations that drove the surge of diversity in early animal evolution. The overarching theme of Dr. Baxevanis’ research program is focused on how non-traditional animal models can be used to convey critical insights into human disease research, in line with the NIH Intramural Research Program’s renewed emphasis on developing new animal models for the study of basic biology.

Position Description

Dr. Baxevanis’ group is currently leading international efforts to sequence several cnidarian species that have the potential to serve as excellent models for the study of allorecognition. In collaboration with colleagues at the University of Pittsburgh and the University of Maryland School of Medicine, we are seeking to recruit a postdoctoral fellow who will use computational approaches to advance our understanding of the genomic complexity of these invertebrate self/non-self recognition systems. The successful applicant will have the opportunity to develop and apply comparative genomic approaches to these and other large-scale genomic data sets, focusing on the evolution of specific protein families and biological pathways that may play critical roles in the immune response.

Qualifications

Candidates should have or be close to obtaining a Ph.D. or equivalent degree in bioinformatics, computational biology, computer science, molecular biology, or a closely related field. Postdoctoral traineeships are not available to scientists who have more than five years of relevant research experience since the receipt of their most recent doctoral degree. Candidates with a background in immunology and evolutionary biology are particularly encouraged to apply. Programming skills and experience in the application of computational methods to genomic data are highly desirable. Applicants must possess good communication skills and be fluent in both spoken and written English. The ability to learn how to use new software and quickly become expert in its use, critical thinking, problem-solving abilities, and the ability to work semi-independently are required.

NIH Intramural Research Program

The NIH Intramural Research Program is on the Bethesda, Maryland campus and offers a wide array of training opportunities for scientists early in their careers. The funding for this position is stable and offers the trainee wide latitude in the design and pursuit of their research project. The successful candidate will have access to NHGRI’s established and robust bioinformatics infrastructure, as well as a ‘Top 500’ high-performance computing resource available through NIH’s Center for Information Technology (CIT).

How to Apply

Interested applicants should submit a curriculum vitae, a detailed letter of interest, and the names of three potential references to Dr. Baxevanis at andy@mail.nih.gov.

For more information, please visit https://irp.nih.gov/pi/andy-baxevanis.

The NIH is dedicated to building a diverse community in its training and employment programs.

Last updated: September 21, 2021