|Position Title||Postdoctoral Research Associate|
|Department||Carolina Population Center – 631100|
|Position Type||Postdoctoral Scholar|
|Salary Range||Dependent on Qualifications|
|If part-time, hours per week|
|Proposed Start Date|
|Estimated Duration of Appointment||12 Months|
|Posting Open Date||01/06/2021|
|Posting Close Date|
|Open Until Filled||Yes|
|Work Location||Chapel Hill, NC|
We are searching for a postdoctoral fellow trained in one or more of the following fields: nutrition, epidemiology, population science, biostatistics, or bioinformatics with strong statistical training interested in interdisciplinary research on health using big data. The research will take place at the Carolina Population Center and the postdoctoral fellow will work as part of a collaborative team with expertise in nutrition, human biology, epidemiology, economics, and biostatistics. Ideally, the candidate will have experience in lifecycle research and longitudinal analyses, with experience in one or more of the following: aging research, biomarkers of cognitive impairment and dementia, lifestyle behaviors, or antecedents of human capital outcomes. Our NICHD– and NIA-funded R01 projects use data from the China Health and Nutrition Survey (CHNS) focused on research that spans the lifecycle. The CHNS captures dramatic and rapid modernization- and environment-related changes in individual, household and community environments across the past 30 years for 3,560 three and four generation and 6,080 two generation households and provides high quality data for use by a large scientific and policy community interested in global health trends. There will be ample opportunities for connecting with a wider network of scientists and career development through collaborations across the Carolina Population Center and the Gillings School of Global Public Health. The initial term of appointment is one year, reappointment for a 2nd and 3rd year is likely depending on contributions to the progress of the project.
A PhD or equivalent in nutrition, epidemiology, population science, biostatistics, or bioinformatics, or related discipline with strong quantitative training.
|Qualifications and Experience||
We are seeking a productive, self-driven, and collaborative scientist with a strong background in preferably more than one of the following fields: aging or lifecycle research, epidemiological methods, causal modeling, data science, high dimensional analysis, and experience in interdisciplinary research.
Experience with large datasets, cohort studies, SAS/STATA/R, longitudinal analyses and collaborative team science desired.
Experience with aging research, biomarkers of cognitive impairment and dementia, lifestyle behaviors, or antecedents of human capital outcomes is highly preferred.
|Equal Opportunity Employer||
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.
Applicants must attach their curriculum vitae, a publication or dissertation / thesis paper, cover letter summarizing qualifications, and a list of 3 references.
For information on UNC Postdoctoral Benefits and Services click here
|Special Physical and Mental Requirements|
|Department Contact Name and Title||Dawn Andres, HR Specialist|
|Department Contact Telephone or Emailemail@example.com|
|Postdoctoral Affairs Contact Information||
If you experience any problems accessing the system or have questions about the application process, please contact the University’s Equal Employment Opportunity office at (919)-962-1091 or send an email to firstname.lastname@example.org.
Please note: The Equal Employment Opportunity office will not be able to provide specific updates regarding position or application status.
- Curriculum Vitae / Resume
- Cover Letter
- List of References
- Writing/research Sample
Required fields are indicated with an asterisk (*).