Staff Scientist

The Undiagnosed Diseases Program (UDP) of the National Humane Genome Research Institute, National Institutes of Health, is a multidisciplinary research program that integrates clinical evaluation with genomic and functional medicine approaches to investigate rare and undiagnosed conditions. Specifically, the UDP Translational Laboratory supports these efforts by applying molecular, cellular, and model system-based approaches to define unknown disease mechanisms.

A Staff Scientist position is now available within the UDP Translational Laboratory to functionally analyze candidate genes identified through our genomic studies. Prospective individuals will design and conduct laboratory-based experiments using molecular and cellular techniques, including cell-based disease models, and contribute to the analysis and interpretation of experimental as well as genomic data.

This positions functions as part of our clinically-integrated translational research workflow. As such, coordinating with clinical teams, evaluating patient-derived materials, and connecting genomic findings with functional validation will be part of the staff scientist's responsibilities. Prospective candidates should expect to work collaboratively within our multidisciplinary environment and contribute to the development and implementation of experimental approaches that support our ongoing UDP projects.

Additional responsibilities include ensuring scientific rigor and reproducibility of research activities, preparing scientific reports and manuscripts, presenting UDP findings, and providing guidance and training to our trainees and junior staff.

Applicants must have a Ph.D., M.D., or equivalent doctoral degree in a field related to medical genetics and relevant postdoctoral or equivalent research experience. Ideally, prospective candidates should have demonstrated experience in experimental design and execution of laboratory-based research, with a strong background in molecular and cellular biology techniques. Experience with cell-based disease modeling systems and the ability to interpret genomic data in a research setting is preferred.

Prior involvement in clinically-integrated or translational research workflows, including work with patient-derived samples and/or collaboration with clinical teams, is desirable. Familiarity with rare disease research is also advantageous.

Lastly, candidates should have a record of scientific productivity, excellent written and oral communication skills, a demonstrated record of mentoring students effective work within in a collaborative, multidisciplinary environment.