Biostatistician at University of South Florida in United States

Job description

• The Biostatistics Core in the College of Nursing of University of South Florida is seeking a motivated Entry-Level Biostatistician to support statistical analysis and study design for research projects across biomedical, clinical, behavioral, and public health disciplines. This is an excellent opportunity for a recent graduate to gain hands-on experience collaborating with investigators, contributing to grant applications, and applying statistical methods to real-world research questions.
• This is a time-limited position, 1 year contract.

Responsibilities

• Assist in the design of research studies, including sample size and power calculations
• Perform statistical analyses on clinical, epidemiological, and biomedical datasets
• Clean, manage, and validate research data using statistical software (e.g., R, SAS, or Stata)
• Prepare tables, figures, and written summaries of statistical results for manuscripts, reports, and grant proposals
• Collaborate with investigators, research coordinators, and other Core staff to understand study objectives and data needs
• Support the development of statistical analysis plans (SAPs) and data analysis sections of IRB protocols
• Serve as data coordinator for large clinical/research trials, overseeing data collection workflows, database structure, and data quality across study sites
• Maintain clear documentation of analytic methods and code for reproducibility
• Participate in Core meetings and ongoing professional development activities

Requirements

• This position requires a bachelor's degree in Biostatistics, Statistics, Epidemiology, or a related field and a minimum of two years of professional experience; or a master's degree in one of the same fields.
• Degree Equivalency Clause: Four years of direct experience for a bachelor’s degree.
• • Senate Bill 1310- The Florida Senate (https://www.flsenate.gov/Session/Bill/2023/1310) is conditional upon meeting all employment eligibility requirements in the U.S.
• • SB 1310: Substitution of Work Experience for Postsecondary Education Requirements
• • A public employer may include a postsecondary degree as a baseline requirement only as an alternative to the number of years of direct experience required, not to exceed:
• • (a) Two years of direct experience for an associate degree;
• • (b) Four years of direct experience for a bachelor’s degree;
• • (c) Six years of direct experience for a master’s degree;
• • (d) Seven years of direct experience for a professional degree; or
• • (e) Nine years of direct experience for a doctoral degree
• • Related work experience may not substitute for any required licensure, certification, or registration required for the position of employment as established by the public employer and indicated in the advertised description of the position of employment.
• • Minimum Qualifications that require a high school diploma are exempt from SB 1310.
• Coursework or experience in biomedical, clinical, or public health research
• Experience with data visualization tools
• Familiarity with clinical trial design and survival analysis
• Experience with longitudinal data and repeated measures analysis
• Prior internship, practicum, or research assistantship experience, including data coordination for multi-site studies
• Strong programming skills in at least one statistical or data science software (e.g., R, SAS, or Python)
• Strong foundation in statistical methods (e.g., regression, hypothesis testing, ANOVA)
• Excellent written and verbal communication skills
• Strong attention to detail and organizational skills
• Ability to work both independently and collaboratively in a team environment

Skills

Required

• Statistical analysis
• Data cleaning and management
• Statistical software (R, SAS, Stata)
• Data visualization
• Clinical trial design
• Survival analysis
• Longitudinal data analysis
• Repeated measures analysis
• Programming in R, SAS, or Python
• Written and verbal communication
• Attention to detail
• Organizational skills

Preferred

• Data visualization tools
• Data coordination for multi-site studies