Biostatisticians Biostatistics and Computational Biology Branch, NIEHS

This opportunity has already passed.

The National Institute of Environmental Health Sciences (NIEHS), part of the National Institutes of Health (NIH), is seeking two experienced biostatisticians to collaborate in the statistical design, analysis and interpretation of environmental health studies. Appointments will be at the rank of Staff Scientist in the Biostatistics and Computational Biology Branch (BCBB) of the Division of Intramural Research (DIR). The scientific environment at NIEHS provides exciting opportunities for collaborating statisticians. Increasingly, research at NIEHS generates high-dimensional data from sources such as genomic, genetic, high-throughput screening and microbiome studies. Development of new statistical methods, though encouraged, will not be a major component of either position. 

Position #1: The successful candidate will collaborate extensively with researchers in the DIR on a broad range of investigator-initiated basic, clinical, and population-based biomedical research to advance the science on environment and human health. The successful candidate will also provide statistical advice and review as a member of the Institute’s Animal Care and Use Committee. 

Position #2: The successful candidate will provide statistical leadership in a team setting with the staff of the Division of the National Toxicology Program (DNTP) and serve as the principal statistician for the National Toxicology Program (NTP). The NTP serves a vital national interest by improving our knowledge about potential hazardous agents in our environment using a broad range of toxicological approaches including large-scale rodent studies and cell-based assays. This position also involves management and oversight of statistical support service contracts as a Contracting Officer’s Representative (COR). 

Qualifications: The successful candidates will have strong skills in computation and in oral and written communication, as well as proven experience working productively with multidisciplinary teams of biologists, toxicologists, epidemiologists, and/or clinical scientists. Experience with the analysis of high-dimensional data is desirable. Applicants should either have a Ph.D. in statistics, biostatistics or have a Ph.D. in a related field with demonstrated applied biostatistical experience. Appointees may be U.S. citizens, resident aliens, or non-resident aliens with, or eligible to obtain, a valid employment- authorization visa. For additional information, contact Dr. Clarice Weinberg, Acting Chief, Biostatistics and Computational Biology Branch, at 919-541-4927 (weinberg@niehs.nih.gov). 

Salary/Benefits: The successful candidate for this position will be appointed at a salary commensurate with experience and accomplishments with full Federal benefits, including leave, health and life insurance, retirement, and savings plan (401K equivalent). 

How to Apply: Interested persons should email a combined single PDF with BCBB-SS in the subject line to int-appls@niehs.nih.gov that includes both their curriculum vitae and a two-page statement describing their research and collaboration experience. Applicants must also arrange to have three letters of reference in PDF format sent directly to int-appls@niehs.nih.gov. As there are other recruitments ongoing, please instruct your referees to include your name and BCBB-SS in the subject line of their email. Incomplete and paper applications will not be accepted. Review of applications will begin on February 28, 2018, but applications will be accepted until vacancies have been filled. 

The NIH is dedicated to building a diverse community in its training and employment programs. DHHS and NIH are equal opportunity employers.  Applications from women, minorities, and persons with disabilities are strongly encouraged. 

The Diversity Program Consortium Coordination and Evaluation Center at UCLA is supported by Office of the Director of the National Institutes of Health / National Institutes of General Medical Sciences under award number U54GM119024.