Spatiotemporal Geostatistics Methods Development

Friday, May 27, 2022
Job Type: 
Job Rank: 
Postdoctoral Fellow
Job Institution: 
National Institute of Environmental Health Sciences
Job Description: 

Announcement Link: Link to the position announcement at the NIH website: 

https://www.training.nih.gov/postdoc_jobs_nih/view/_31/9666/SGMD_05242022

Position Description: The Spatiotemporal Health Analytics Group is seeking a postdoctoral fellow for methods development in spatiotemporal geostatistics with applications in geospatial exposure science. The project includes development in either of the following areas: error-in-variable penalized regression with Gaussian processes or causal methods in covariate selection for spatiotemporal models. Additional topics may be proposed by the candidate within the theme. The candidate is expected to author publications in top statistics, applied-statistics, or environmental health journals. The candidate will work primarily with Dr. Kyle P Messier and have the opportunity for secondary mentorship and collaboration with other scientists at NIEHS such as the Biostatistics and Computational Biology Branch.

The required skills and expertise for this position are (1) competency in statistical methods development, (2) an eagerness to learn new scientific and statistical skills in the environmental health sciences, and (3) demonstrated and on-going ability to contribute to an interdisciplinary and inclusive research group.  Preferences will be given to candidates with demonstrated experience in one or more of the following areas:

  • Spatial and spatiotemporal methods such as Gaussian processes/Kriging
  • Land-use regression
  • Coding in R and/or Julia languages
  • GIS software such as QGIS
  • Code version control using Git
  • Linux and high-performance computing cluster environments
  • Experience with large, geospatial datasets
  • Data wrangling

Applicants must have a PhD or equivalent degree in statistics, biostatistics, environmental science, public health or another related field. Application reviews and interviews will begin July 14, 2022 and will be considered until the position is filled. Expected salary is available at https://www.niehs.nih.gov/careers/research/fellows/working/benefits/salary. Telework is an option, but the primary work location will be on-site. The position is open to all U.S. citizens and visa-eligible foreign citizens.

Employer Name: National Institute of Environmental Health Sciences, Division of the National Toxicology Program, Predictive Toxicology Branch, Spatiotemporal Health Analytics Group

Position Location: Research Triangle, North Carolina (Durham, Raleigh, Chapel Hill) 

Application Deadline Date: For best consideration applications should be submitted by July 14, 2022. Applications will be considered until the position is filled. 

To apply: Applicants should submit the following materials to niehs-spatial-apps@nih.gov with the subject line “Spatiotemporal Geostatistics Methods Development”:

  1. Research Statement (1-2 pages)
  2. Curriculum Vitae
  3. 1-2 recent peer-review publications
  4. 1-2 code examples 
  5. Contact Information for 3 references

Questions about the application may be directed to kyle.messier@nih.gov. A related postdoctoral fellowship in climate change exposure and health is also available. Please see the announcement on the posting website or contact Dr. Kyle Messier for more details.

Disclaimers: The NIH is dedicated to building a diverse community in its training and employment programs and encourages the application and nomination of qualified women, minorities, and individuals with disabilities. As a condition of employment, all federal employees must be fully vaccinated against COVID-19. During the onboarding process, if selected, you must provide proof of vaccination. An official job offer and continued employment is contingent on this requirement. For more information on this requirement, visit the Safer Federal Workforce page on vaccines. If you need a COVID-19 vaccine, please visit Vaccines.gov.