The NIH-funded T35 Research Traineeship Program is designed specifically for pre-doctoral students in physical and/or quantitative sciences from across South Carolina and the United States. As you prepare for a career in Big Data Science, you can learn about research that involves Big Data and work alongside well-known established researchers in a full-time, hands-on setting.
The University of South Carolina Big Data Health Science Center is requesting applications from predoctoral students for 3-month, full-time (40 hours per week program to work alongside established clinical scientists on one or more Big Data Health-related studies. Each student trainee will be involved in a specific research project, actively participating in a hands-on manner in a research laboratory currently conducting studies related to Big Data Health Science. Investigators, laboratories, and brief descriptions of areas of research are provided below.
Students will be matched with a mentor according to the students’ interests and mentor availability. In addition, each trainee will participate in discussions on responsible conduct in research, participate in a specifically designed T35 seminar series presented by many of the T35 preceptors, attend journal groups, attend campus-wide activities of interest as part of their training experience, and will have opportunities to present their work.
This is an excellent opportunity for students to obtain significant exposure to research in an active laboratory conducting research related to ongoing NIAID-funded Big Data research projects that utilize 1 or more of 5 large existing data sources.
This program is for pre-doctoral students in physical and/or quantitative sciences. Students participate full time for 3 consecutive months. The preferred time period is from mid-May through mid-August. The following is a full list of eligibility requirements:
- Must be a full-time pre-doctoral student from a quantitative or physical science department with a minimum GPA of 3.5
- Must have completed at least one year (two semesters) of study before the summer training begins
- Must express interest in exploring independent research in Big Data in infectious disease and/or healthcare
- Must receive a formal agreement from home department/school for summer release to attend the training
- Must commit to the 3-month formal 40-hours-per-week training engagement in the T35 program
- Must commit to submitting a publishable manuscript in an area of Big Data infectious disease research no later than one year after the summer training
- Must be a U.S. citizen or permanent resident (unless strongly justified based on exceptional relevance to NIH)
In addition to the specific mentor with whom each student will work, trainees will have access to other faculty and researchers for formal and informal discussions. Additionally, a full range of technical and computer support will be provided during the 3-month training period.
Each trainee will receive a *$2,068 stipend for each of the three months that they participate in the program ($6,204 total).
In addition, trainees will also recieve support to travel to campus (See Travel Reimbursement Policy linked here) and support up to $1,000 per trainee to present their research at national and local conferences.
Trainees will also recieve support for health insurance (if uninsured), tuition, and subject fees.
*Subject to housing fees, which will be covered by the stipend
*Please note: these are new dates
February 15, 2022: Application deadline
March 1, 2022: Trainee selections are made
March 29, 2022: Traineeship offers are awarded
May 16, 2022 to July 27, 2022: Anticipated traineeship period
Traineeships are awarded each year on a competitive basis.
If you would like to apply, please:
- Discuss your interest in participation in this program with your faculty advisor.
- Correspond via email with Dr. Bankole Olatosi and Ms. Audrey Auen, indicating an interest in applying for the program.
- Complete the application form and required documents (details below).
The following is a list of required documents to submit online alongside your application:
- A letter describing your research interests and career objectives. This will help us get you started on a project that interests you and match you with the right mentors to help
- An up-to-date curriculum vitae, with names and addresses of 3 professional references
- A concept paper (max 2 pages) that outlines your interest in Big Data science and healthcare
- A letter from the home school/department advisor (secondary mentor) confirming the home institutional support for you to participate in the T35 program as a trainee.
- A personal statement describing your future professional goals and how this experience will contribute to your future goals. (Please limit to 1 page)
All application materials must be received by February 15, 2022.
Traineeship offers will be awarded on March 29, 2022.