We are in search of an experienced Post-Doctoral Fellow to join our stellar team at University of South Carolina in Columbia, SC.
Growing your career as a Full Time Post-Doctoral Fellow is a promising opportunity to develop relevant skills.
If you are strong in problem-solving, analysis and have the right mindset for the job, then apply for the position of Post-Doctoral Fellow at University of South Carolina today!
Logo: Posting Number: STA01243PO23
Job Family: Research
Job Function: Research
USC Market Title: Post Doctoral Fellow
Job Level: R1 - Research
Business Title (Internal Title): Post-Doctoral Fellow
Campus: Columbia
Work County: Richland
College/Division: Arnold School of Public Health
Department: ASPH Epidemiology and Biostatistics
State Pay Band: Unclassified
Approved Starting Salary: Commensurate with qualifications
Advertised Salary Range: Salary commensurate with qualifications.
Part/Full Time: Full Time
Hours per Week: 40
Work Schedule: Standard working schedule: 8:30am – 5:00pm
Must be willing to work a flexible schedule to meet the needs of the department.
Type of Staff Position: Research Grant (RGP)
Basis : 12 months
Job Search Category: Post-doctoral
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.
Benefit Eligibility Type: Research Grant (RGP)
South Carolina Retirement: Yes
State Insurance Programs: Yes
Annual Leave: Yes
Sick Leave: Yes
Advertised Job Summary: We are recruiting a postdoctoral researcher to be part of the University of South Carolina Infectious Disease Translational Research Center, a well-funded research center consisting of 13 scientists across numerous disciplines (medicine, epidemiology, ecology) with the goal of addressing emerging infectious diseases, including congenital and vector-borne diseases. The postdoctoral researcher recruited would be advised by Dr. Tad Dallas, a disease ecologist based in the College of Arts and Sciences, but have the opportunity to interact with diverse faculty across the entire center and develop collaborative, multi-disciplinary research projects. Flexibility in chosen research projects will emerge through discussions with Dr. Dallas, but should include research in areas like vector-borne disease, the analysis of spatial data, epidemic modeling, and/or host-parasite networks. Opportunities for travel to field sites for hands-on field primary data collection experience in El Salvador and Brazil exist for this position as desired. Candidates who can communicate in Spanish and/or Portuguese are especially encouraged to apply.
Minimum Qualifications: PhD in ecology, epidemiology, statistics or related field.
Preferred Qualifications: Previous work with machine learning models for prediction, including evaluating model performance.Previous experience with models of pathogen evolution or ability to analyze genetic data.Previous experience working with messy data (pooled pathogen sampling, handling missing data, etc.).
Knowledge/Skills/Abilities: Strong quantitative skills including demonstrated expertise in disease modeling as evidenced by publications and/or projects incorporating mathematical modeling and/or statistical analyses.Expertise in a scientific programming language such as R, Python, Julia, etc as evidenced by the use of a scientific programming language in models/analyses in published works.Experience with spatial data analytics through R or another programmatic GIS platform.Strong writing skills.The ability to work independently and collaboratively.Enthusiasm and interest in disease ecology.Experience working with human health data is a bonus, as is fluency in Spanish or Portuguese.
Safety Sensitive or Security Sensitive: No
Hazardous weather category: Non-Essential
Number of Vacancies: 1
Desired Start Date: 11/01/2023
Job Open Date: 10/06/2023
Job Close Date: 11/20/2023
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 November 20, 2023. Quicklink for Posting: 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.
Benefits of working as a Post-Doctoral Fellow in Columbia, SC:
? Excellent Benefits Package
? Opportunities to grow
? Advantageous package
