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ORISE fellowship opportunities are available with the Office of Innovation, Development, Evaluation, and Analytics (IDEA), Division of Global Migration & Quarantine (DGMQ) at the Centers for Disease Control and Prevention (CDC), Atlanta, GA. This is a full-time, one-year, stipend-supported opportunity. Start date is flexible but no later than September 30, 2022. Fellows should live in the Atlanta-Metro Area or be willing to relocate upon acceptance of fellowship.
IDEA’s mission is to deliver insights and solutions to support DGMQ by leveraging an agile team with focused resources and specialized skillsets in analytics, partnership development, evaluation, and innovation. We are creating a new data science team that will study globally mobile populations to enhance situational awareness, scientific understanding, and decision-making.
You will learn how to:
- Design projects/analyses to address questions
- Lead statistical analyses of complex research projects
- Apply advanced statistical, data science, and predictive modeling techniques
- Participate in hypothesis generation, study design, statistical/mathematical modeling development, and interpretation and presentation of results
- Communicate modeling results to IDEA team and DGMQ leadership
- Write and publish analyses in scientific peer-reviewed journals
- Help the organization understand the principles and math behind advanced methodology to drive organizational buy-in
- Identify novel or obscure problems and be versatile and innovative in adapting and modifying precedents, methods, and techniques
- Assess feasibility, effectiveness, and necessity of unusual approaches and identify potential benefits
Ideal qualifications/experience include:
- Master’s or PhD with a quantitative component
- Knowledge of bioinformatics principles
- Knowledge of genomic data analysis and QA/QC
- Intermediate experience with R and RStudio
- Experience with programming languages and data analytics
- Experience with cloud computing
- Experience with phylogenic and phylodynamic analysis and pipeline developments
- Working with disparate and messy datasets
- Knowledge and application of advanced mathematical and statistical theories, principles, concepts, and practices to public health data
- Creating static and interactive visualizations and knowledge of visualization best practices
- Communicating with technical and non-technical audiences
- Enjoys collaborative work
- Interpersonal skills to establish and maintain effective working relationships, overcome skepticism, and gain cooperation
- Experience designing projects and analyses to address public health questions, including hypothesis generation, study design, and interpretation and presentation of results
By July 10, 2022, please apply through Zintellect [reference code CDC-General-RPP-2022] and provide your resume and statement of interest. Your resume should include your academic history, employment history, and any other relevant experience. Your statement of interest should address your desire to solve public health challenges of globally mobile populations, as well as explain how this fellowship opportunity will help you learn to solve those problems. Please provide at least one, but no more than two, letters of recommendation from educational or professional references. Please direct any questions about the announcement to firstname.lastname@example.org.
This program, administered by ORAU through its contract with the US Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education, was established through an interagency agreement between DOE and CDC. The initial appointment can be up to one year but may be renewed upon recommendation of CDC contingent on the availability of funds. The participant will receive a monthly stipend commensurate with educational level and experience. Proof of health insurance is required for participation in this program. The appointment is full-time at CDC in the Atlanta, Georgia, area. Participants do not become employees of CDC, DOE, or the program administrator, and there are no employment-related benefits.