Staff Scientist

The goal of this search is to identify a candidate who will develop and deploy cutting edge data science, computational biology and machine learning solutions for ocular and neuroscience research. The candidate will leverage their extensive scientific and technical backgrounds to advance research capabilities across the entire portfolio of IRP projects.

Candidates must have a Ph.D. or equivalent degree in the biological sciences with subsequent post degree training and scientific technical proficiencies in bioinformatics, spatial omics, high-resolution imaging (fixed and live), and data science. Experience must include direct hands-on expertise in the entire pipeline of each experimental discipline, from sample preparation through data analysis. In addition to the listed scientific competencies, candidates must also possess detailed experience working within and maintaining scientific high-performance computing infrastructure. Specifically, experience leveraging high-performance computing clusters for data analysis or visualization, operating within enterprise data storage infrastructure, and leveraging cloud resources to extend resource capabilities. Due to its cross-discipline nature, this position requires a highly motivated and collaborative scientist who appreciates acute challenges and enjoys training others in technical disciplines.

Selection for this position will be based solely on merit, with no discrimination for non-merit reasons such as race, color, religion, gender, sexual orientation, national origin, political affiliation, marital status, disability, age, or membership or non-membership in an employee organization. The NIH encourages the application and nomination of qualified women, minorities, and individuals with disabilities.