Epidemiology Fellowship, CDC SENSOR-Pesticides Program
Category : Alumni
Research Project: The ORISE research fellow will be assigned to The Sentinel Event Notification System for Occupational Risk (SENSOR)-Pesticides program (https://www.cdc.gov/niosh/topics/pesticides/). Under this program, NIOSH provides cooperative agreement funding and technical support to state health departments to conduct surveillance on acute occupational pesticide-related illness and injury. As part of the fellowship program, the ORISE fellow will conduct public health surveillance studies of acute pesticide-related illness and injury, with a focus on work-related exposures. Under the guidance of a mentor, who is a senior epidemiologist, the fellow will be involved in the following activities:
- 1. Analyze public health surveillance data to assess occupational and non-occupational disease magnitude trends
- 2. Identify and investigate emerging pesticide problems by using the SENSOR-Pesticides Program database to describe the human experience with relatively new pesticides, or describe risks associated with various application practices (E.g., describe the rate of pesticide poisoning across major industry sectors, including agriculture)
- 3. Assist with the development of educational and other notification materials to raise awareness of pesticide problems that are identified and implement effective interventions
- 4. Participate in preparing manuscripts for publication in a peer-reviewed journal
- 5. Assist in organizing the SENSOR-Pesticides workshops which are attended by SENSOR-Pesticides partners and stakeholders
- 6. Contribute to data quality assessment and improvement across the SENSOR-Pesticides states.
The qualified candidate should have received a master’s degree in one of the relevant fields, or be currently pursuing the degree to be received by December 30, 2022. Degree must have been received within the past five years.
Preferred Skills:
- Experience in epidemiologic methods and statistics
- Knowledge of SAS (or R) statistical software is desirable, but training can be provided, if needed
- Experience with Microsoft Office tools (Word, Power Point, Excel)
- Strong research and communication skills.
The application deadline is December 19, 2022. For more information and to apply, please click here.
