Post-doctoral position at the NIH/NIEHS/DNTP in the Spatiotemporal Health Analytics Group
We are seeking a talented and motivated fellow with training and experience in air quality and environmental health sciences for a position in the Spatiotemporal Health Analytics Group (PI: Dr. Kyle P. Messier) in the Division of the National Toxicology Program at the National Institute of Environmental Health Sciences in Durham, North Carolina. The successful candidate will have a strong background in physical-chemical transport air quality models such as CMAQ, CAMx, GEOS-Chem, and working with satellite imagery such as TROPOMI.
The Spatiotemporal Health Analytics Group is a newly formed interdisciplinary research group at NIEHS/DNTP focusing on spatiotemporal methods and applications that bridge human health exposure science, epidemiology, and toxicology. The position will be part of the intramural research section of NIH. Trainee positions at NIH/NIEHS/DNTP offer a wide range of benefits including consistent, internal funding from NIH; access to core facilities such as statistical, microarray, epigenomics, and pathology support; opportunities to collaborate with intramural NIEHS scientists such as the Biostatistics and Computational Biology Branch, Epidemiology Branch, and Office of Data Science; and travel support for presenting research at regional and international conferences.
Position details: A doctoral degree (Ph.D., Sc.D., M.D., etc.) in environmental science, engineering, or air quality modeling. The fellow’s time will be devoted to data analysis, manuscript writing, and career development. Fellows will have the opportunity to propose related research that can be internally funded and is also eligible and encouraged to apply for K99/R00 and non-NIH research grants. The fellow will be working on air quality models to be used in forecasting, gene-by-environment epidemiological analyses, and air quality integration into toxicological risk assessments.
Desired skills:
- Scientific writing and oral communication
- Expert in chemical transport modeling from emissions inventories to large-scale computational server environments
- Spatial analysis, big data, and data visualization skills are preferred.
- Intermediate to advanced skills with at least one statistical software package is required. R andMATLAB are preferred.
Salary and benefits are highly competitive: Initial appointment will be two years at NIEHS/DNTP in Durham, North Carolina, with additional time (up to 5 years) depending on productivity. The position is open until August 7, 2020, or until filled. Applicants should submit the following materials directly to kyle.messier@nih.gov with the subject line “Air Quality Postdoc Application”:
- Curriculum vitae
- Cover letter describing areas of research interest and career goals
- Copies of 1-2 recent publications
- Contact information for 3 references
The NIH is dedicated to building a diverse community in its training and employment programs. Underrepresented minorities, trans- and non-conforming gender, and those with disabilities are encouraged to apply.