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Post Doctoral Fellow
University of South Carolina in Columbia, South Carolina
 
 
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Date Posted 04/16/2021
Category
Admin-Other Administrative Positions
Employment Type FullTime
Application Deadline Open until filled
 
 
 
 
 

Logo
Posting Number STA00278PO21
Classification Title Post Doctoral Fellow
Internal Title Post Doctoral Fellow
Campus Columbia
Work County Richland
College/Division Arnold School of Public Health
Department ASPH Epidemiology and Biostatistics
Band Unclassified
Advertised Minimum Salary Salary commensurate with qualifications.
Advertised Salary Range $51,000 - $55,000
Location of Vacancy
Part/Full Time Full Time
Hours per Week 40
Work Schedule

Monday – Friday, 8:00am-5:00pm

Type of Staff Position Research Grant (RGP)
Basis 12 months
Job Search Category Post-doctoral


About UofSC

The University of South Carolina System is comprised of the state’s flagship university in Columbia (founded in 1801 and currently one of the top 50 “Best Colleges” according to U.S. News and World Report), three regional comprehensive universities (USC Aiken, USC Beaufort and USC Upstate), and Palmetto College consisting of four two-year campuses (USC Lancaster, USC Salkehatchie, USC Sumter, USC Union and Fort Jackson/Extended University). Together, the USC System institutions offer more than 450 degree programs on campus and online and are uniquely positioned to meet the state’s educational, cultural, health and research needs. The System employs nearly 14,000 people who work daily to improve the lives of students, fellow South Carolinians and the world. Our diverse engaged faculty and staff enjoy a dynamic and intellectually stimulating work environment.

Diversity Statement

At the University of South Carolina, we strive to cultivate an inclusive environment that is open, welcoming, and supportive of individuals of all backgrounds. We recognize diversity in our workforce is essential to providing academic excellence and critical to our sustainability. The University is committed to eliminating barriers created by institutional discrimination through accountability and continuous process improvement. We celebrate the diverse voices, perspectives, and experiences of our employees.



Benefit Eligibility Type Research Grant (RGP)
South Carolina Retirement Yes
State Insurance Programs Yes
Annual Leave Yes
Sick Leave Yes


Advertised Job Summary

Job purpose –
We are seeking an individual for a postdoctoral fellowship related to maternal and perinatal health with training and experience in epidemiology or a related field. This position involves conducting statistical analyses and write/help in writing peer-reviewed manuscripts. The primary mentor is Dr. Nansi Boghossian. This postdoctoral research fellowship will be focused primarily on maternal health outcomes in the United States, with a focus on severe maternal morbidity, hospital quality, social determinants, and/or geographic disparities. The postdoc will have the opportunity to interact/collaborate with a variety of epidemiologists, clinician-scientists, biostatisticians, and economists from multiple institutions including Stanford, University of Pennsylvania, UTMB, and The Pennsylvania State University.
The initial appointment is for one year and renewal for a second year is anticipated if performance is satisfactory.

Basic qualifications
Doctoral qualification in epidemiology, biostatistics, public health, data science, or a related field with an interest in reproductive, perinatal, and pediatric epidemiology and maternal and child health.

Desired skills
• Familiarity with statistical software (e.g., SAS, R)
• Familiarity with GIS recommended but not required
• Excellent analytical, organizational, and problem-solving skills
• Strong training in quantitative epidemiologic methods (e.g., causal inference methods)
• Experience analyzing large datasets
• Excellent interpersonal and oral and written communication skills
• Ability to work independently and as part of a team with collaborators
• Highly motivated to make a difference in maternal and perinatal health

Interested applicants should submit the following materials:
1. Curriculum vitae
2. Cover letter describing research interests to be pursued during training
3. One lead-author published or unpublished manuscript
4. Names of two references

Minimum Qualifications (Classified and Unclassified positions)

Doctoral qualification in epidemiology, biostatistics, public health, data science, or a related field with an interest in reproductive, perinatal, and pediatric epidemiology and maternal and child health.

Preferred Qualifications
Knowledge/Skills/Abilities

Desired skills
• Knowledge of SAS, R, GIS
• Excellent analytical, organizational, and problem-solving skills
• Strong training in quantitative epidemiologic methods (e.g. causal inference methods)
• Experience analyzing large datasets
• Excellent interpersonal and oral and written communication skills
• Ability to work independently and as part of a team with collaborators
• Highly motivated to make a difference in maternal and perinatal health



Safety Sensitive or Security Sensitive No
Hazardous weather category Non-Essential


Number of Vacancies 1
Desired Start Date 08/16/2021
If Research Grant/Time Limited, give end date 08/15/2022
Job Open Date 04/14/2021
Job Close Date 05/29/2021
Open Until Filled No
Special Instructions to Applicant

Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.

We are only accepting applications submitted by May 29, 2021

Quicklink for Posting https://uscjobs.sc.edu/postings/96157
EEO Statement

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.


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