Intern Ucf Student Jobs (NOW HIRING)

Intego Group's office in Florida, USA, is currently seeking students and graduates from the University of Central Florida to join our internship program in our Orlando office. The clinical research industry is a fast‐growing field that uses innovative data science and biostatistics to help save lives. In our Clinical SAS® Internship Program, developed specifically for the University of Central Florida (UCF) students and graduates, you will learn modern statistical programming tools used to analyze clinical trial data – and get paid!

By the end of the program, you will: Have a jumpstart on a successful career in data science Understand statistical methods for clinical trial analyses Have insight into pharmaceutical industry processes and standards Be able to perform statistical analysis of clinical data using SAS® analytics software Improve your communication, presentation, and collaboration skills (all musts for success in the world of data science!) Ideal candidates for this program are students or graduates majoring in Applied Mathematics, Statistics or Data Science, but the program is open for anyone with a strong mathematical background.

Internship Program Format: Internships are part‐time, paid positions that run for three months. Expect a 20 hour per week workload. Top‐performing interns will be offered a full‐time position at Intego Clinical. Interns will participate in online and in‐person training sessions. To encourage collaboration and improve communication skills, some sessions will involve group exercises.

Students will be divided into separate teams, and each team will be mentored by a representative from Intego Clinical who will share industry‐specific knowledge and project development advice. At Intego Group, we value all employees and job candidates as unique individuals, and we welcome the variety of experiences they bring to our company. As such, we have a strict non‐discrimination policy.

We believe everyone should be treated equally regardless of race, sex, gender identification, sexual orientation, national origin, native language, religion, age, disability, marital status, citizenship, pregnancy, or any other characteristic protected by law.