Biostatistician

The University of Miami/UHealth Department of Public Health has an exciting opportunity for a temporary full time Biostatistician 1 to work remote. The Biostatistician 1 provides statistical support and collaborates with clinical and translation research on the development, implementation, and analysis of data for research studies. Further, the Biostatistician 1 serves as liaison between the department and the research community.

• Formulates analysis plans and writes detailed specifications for analysis of files, consistency checks, 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 study investigators on planning and specifying statistical analysis.
• Provides support to resolve barriers to analysis and consults with other methodologists and statisticians.
• Adheres to University and unit-level policies and procedures and safeguards University assets.

• Collaborating with investigators and research team members to develop study designs, statistical analysis plans, research protocols, and analytical strategies.
• Conducting statistical analyses of epidemiological, clinical, behavioral, and other research data related to preventive health and disease prevention.
• Performing data cleaning, management, quality control, and preparation of datasets for statistical analysis.
• Applying appropriate statistical methods to evaluate research questions, study outcomes, risk factors, associations, and intervention effects.
• Developing and implementing statistical models, including descriptive statistics, hypothesis testing, regression analyses, longitudinal analyses, survival analyses, and other appropriate analytical approaches.
• Using statistical analysis software and programming tools, including R, SAS, SPSS, Stata, and Python, as appropriate for the research project and analytical requirements.
• Developing reproducible statistical programs, scripts, and workflows to support data analysis and quality control.
• Creating statistical tables, graphs, visualizations, and data summaries to communicate research findings effectively.
• Interpreting statistical results and communicating findings to investigators and other research team members.
• Assisting with the preparation of statistical reports, abstracts, manuscripts, presentations, and grant applications.
• Supporting the development and evaluation of research measures, outcomes, and data collection instruments.
• Conducting data quality assessments and identifying potential issues related to missing data, outliers, data distributions, and study variables.
• Ensuring accuracy, reproducibility, and appropriate documentation of statistical analyses and programming procedures.
• Participating in research meetings and providing statistical consultation throughout the development, implementation, analysis, and dissemination phases of Preventive Sciences research projects.
• Maintaining organized documentation of statistical methods, programming code, datasets, analytical outputs, and results.

• Master's degree in relevant field required.
• Doctoral Degree in Biology, Chemistry, Biostatistics, Health Studies, Neuroscience, Public Health, or closely related field preferred.
• No previous experience required.
• Minimum 1 year of relevant experience preferred.
• Learning Agility:
  Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
• Teamwork:
  Ability to work collaboratively with others and contribute to a team environment.
• Technical Proficiency:
  Skilled in using office software, technology, and relevant computer applications.
• Communication:
  Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
• Demonstrate expertise in biostatistics, epidemiology, public health research methods, and study design.
• Demonstrate proficiency in descriptive and inferential statistics, including regression modeling, hypothesis testing, and advanced statistical analysis.
• Experience managing, cleaning, and analyzing large quantitative datasets.
• Development of summary statistical reports for scientific collaborators.
• Apply best practices in data management, quality assessment, and data validation.
• Utilize statistical programming and analysis tools,…