CDC Statistics Fellowship, due 8/30
Category : Alumni
Description
*Applications will be reviewed on a rolling-basis.
A research opportunity is currently available with the Prevention Research Team of the Prevention Research and Translation Branch in the Division of Congenital and Developmental Disorders of the National Center on Birth Defects and Developmental Disabilities (NCBDDD) at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia.
NCBDDD’s mission is to promote the health of babies, children and adults and to enhance the potential for full, productive living.
The fellowship will provide an excellent training opportunity for a doctoral or master’s degree fellow to gain experience conducting public health practice in various statistical analysis projects. The fellow will be involved in analyzing qualitative and quantitative datasets and present findings at meetings and/or conferences (domestic and foreign).
The broad range of analytic projects that the fellow will be exposed to would include, but not be limited to:
Analysis of the National Health and Nutrition Examination Survey (NHANES)
Analysis of genetic and epigenetic data (Illumina 450K) from folic acid intervention studies
Analysis of genetic polymorphisms and the response to folic acid intake
This program, administered by ORAU through its contract with the U.S. Department of Energy 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.
Qualifications
The qualified candidate should be currently pursuing or have received a master’s or doctoral degree in one of the relevant fields. Degree must have been received within five years of the appointment start date.
Preferred Skills:
Knowledge about analyzing data using SAS, SPSS and/or SUDAAN
Familiarity with managing and analyzing large data sets from complex survey designs
Knowledge with R and large data sets
Familiarity with Bayesian analyses
Comfortable with conducting analyses in nutritional epidemiology and/or genetics
Understanding about conducting scientific literature reviews
Knowledge about producing technical/scientific reports, presentations, and/or manuscripts
Excellent oral and written communication skills
For more information and to apply, click HERE.
