Indiana University School of Public Health
Dr. Kan Shao’s Computational Risk Assessment Laboratory (https://pages.iu.edu/~kshao/) in the Department of Environmental and Occupational Health at Indiana University School of Public Health-Bloomington invites applicants for a post-doctoral fellow supported by NIH/NCATS grant. The successful candidate will be expected to apply and develop advanced computational and probabilistic methods to integrate toxicological data from various sources to improve the effectiveness and efficiency of dose-response modeling in support of chemical risk assessment. The candidate will be involved in a dynamic and multidisciplinary research group and have opportunities to participate in educational activities in the lab as well.
This 12-month appointment is available immediately and has the potential for annual renewal if mutually agreeable. Salary is commensurate with NIH guidelines for postdoc salary.
Successful candidate should have a doctoral degree (PhD or equivalent) in a relevant field, including but not limited to: Environmental Science and Engineering, Toxicology, Epidemiology, Public Health, Biostatistics or Statistics, Chemical Informatics. Because of the nature of this laboratory, demonstrated skills in computational methods and quantitative analytics are also required. Previous experience with dose-response modeling, Bayesian statistics, or quantitative risk assessment is highly recommended.
How to apply:
Review of applications will begin immediately and continue until the position is filled. For best consideration, apply by October 1, 2018. Interested candidates should review the application requirements and submit a brief personal statement of research, a CV, and contact information for three referees at the Indiana University website: https://indiana.peopleadmin.com/postings/6666. Questions concerning the position or application process can be directed to Dr. Kan Shao (firstname.lastname@example.org). Finalists will be asked to contact references to obtain support letters.