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Postdoctoral Fellow

University of South Carolina

Job Description


Posting Summary
Logo
Posting Number STA01572PO22
Job Family
Job Function
USC Market Title Post Doctoral Fellow
Job Level
Internal Title Postdoctoral Fellow
Campus Columbia
Work County Richland
College/Division Arnold School of Public Health
Department ASPH Health Services Policy and Management
State Pay Band Unclassified
Advertised Minimum Salary Salary commensurate with qualifications.
Advertised Salary Range 54,835
Location of Vacancy Columbia, SC
Part/Full Time Full Time
Hours per Week 37.5
Work Schedule
8:30am to 5:00pm
Type of Staff Position Research Grant (RGP)
Basis 12 months
Job Search Category Post-doctoral


About UofSC
About University of South Carolina
From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.
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.


Benefits for FTE, Research Grant or Time-Limited Positions Are Indicated Below


The University of South Carolina (UofSC), through the State of SC and Public Employee Benefit Authority (PEBA), offers employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the About Benefits section on the Applicant Portal at uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding.

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


Position Description
Advertised Job Summary
The Big Data Health Science Center (BDHSC) at University of South Carolina (UofSC) Arnold School of Public Health invites applications for a post-doctoral fellow research position. The qualified candidate will be expected to participate in funded Big Data projects in HIV and COVID research. The primary responsibilities of the post-doctoral fellow may include, but are not limited to, literature review, data management and analysis, preparation of manuscripts, grant writing, and other related tasks. We are seeking highly motivated candidates with long-term interest in a research career in an academic setting. The applicants must have a doctoral degree in a health data-related field (e.g., public health, statistics, biostatistics, and data science) by the time of appointment. Other qualifications include expertise in big data analysis (including artificial intelligence and machine learning), quantitative methodology, strong analytic skills, ability to take initiative and work independently, high standard of work ethic, effective oral and written communication skills, and proficiency in at least one analysis software including SAS, R, or Python.
Minimum Qualifications
Applicants must have a doctoral degree in a health data-related field (e.g., public health, statistics, biostatistics, and data science ) by the time of appointment. Other qualifications include expertise in big data analysis (including artificial intelligence and machine learning), quantitative methodology, strong analytic skills, ability to take initiative and work independently, high standard of work ethic, effective oral and written communication skills, and proficiency in at least one analysis software including SAS, R, or Python.
Preferred Qualifications
Applicants must have a doctoral degree in a health data-related field (e.g., public health, statistics, biostatistics, and data science ) by the time of appointment. Other qualifications include expertise in big data analysis (including artificial intelligence and machine learning), quantitative methodology, strong analytic skills, ability to take initiative and work independently, high standard of work ethic, effective oral and written communication skills, and proficiency in at least one analysis software including SAS, R, or Python.
Knowledge/Skills/Abilities
Applicants must have a doctoral degree in a health data-related field (e.g., public health, statistics, biostatistics, and data science ) by the time of appointment. Other qualifications include expertise in big data analysis (including artificial intelligence and machine learning), quantitative methodology, strong analytic skills, ability to take initiative and work independently, high standard of work ethic, effective oral and written communication skills, and proficiency in at least one analysis software including SAS, R, or Python.


Position Attributes


Employees in Safety-Sensitive or Security-Sensitive positions will be subject to pre-employment and post-employment drug testing in accordance with University policy HR 1.95 Drug and Alcohol Testing.

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


Posting Detail Information
Number of Vacancies 1
Desired Start Date 12/01/2022
If Research Grant/Time Limited, give end date 11/30/2023
Job Open Date 10/31/2022
Job Close Date 12/15/2022
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 December 15, 2022.
Quicklink for Posting https://uscjobs.sc.edu/postings/131692
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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