Biostatistician I — Research Data & Analysis Partner

University of Miami; Florida; On-site; USD 65,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

Benefits package

Tuition remission

Job summary

The Biostatistician 1 at the University of Miami provides statistical support and collaborates with clinical and translation research on development, implementation, and analysis of data for research studies. The role acts as a liaison between the department and the research community.

Responsibilities include designing analysis plans, conducting epidemiological analyses, data cleaning, and developing reproducible statistical programs using R, SAS, SPSS, Stata, and Python.

Qualifications

• Master's degree in a relevant field required.
• Doctoral degree in Biostatistics, Health Studies or related field preferred.
• Minimum 1 year of relevant experience preferred.

Responsibilities

• Formulates analysis plans and writes specifications for analysis of files, tables, and figures.
• Communicates with clients regarding statistical analysis issues.
• Interprets analyses and writes statistical sections of study reports.
• Prepares results for progress reports, presentations, and peer-reviewed publications.
• Maintains and documents studies’ databases.
• Consults with investigators on planning and specifying statistical analysis.

Skills

Biostatistics

Epidemiology

Statistical programming

R

SAS

Python

Data management

Communication skills

Education

Master's degree in Biostatistics or related field

Doctoral Degree preferred

Tools

R

SAS

SPSS

Stata

Python

Job description

The Biostatistician 1 at the University of Miami provides statistical support and collaborates with clinical and translation research on development, implementation, and analysis of data for research studies. The role acts as a liaison between the department and the research community.

Responsibilities include designing analysis plans, conducting epidemiological analyses, data cleaning, and developing reproducible statistical programs using R, SAS, SPSS, Stata, and Python.