Biostatistician 1

October 22, 2026

Current Employees:If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click <a target="_blank" href="">here</a> to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this <a target="_blank" href="">tip sheet</a>.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. Core Job Functions:<ul><li>Formulates analysis plans and writes detailed specifications for analysis of files, consistency checks, tables, and figures.</li><li>Communicates with clients regarding statistical analysis issues.</li><li>Interprets analyses and writes statistical sections of study reports.</li><li>Prepares results for progress reports, presentations, and peer-reviewed publications.</li><li>Maintains and documents studies’ databases.</li><li>Consults with study investigators on planning and specifying statistical analysis.</li><li>Provides support to resolve barriers to analysis and consults with other methodologists and statisticians.</li><li>Adheres to University and unit-level policies and procedures and safeguards University assets.</li></ul> Department Specific Functions: The Biostatistician will provide statistical and methodological support for research projects in Preventive Sciences. Responsibilities will include: <ul><li>Collaborating with investigators and research team members to develop study designs, statistical analysis plans, research protocols, and analytical strategies.</li><li>Conducting statistical analyses of epidemiological, clinical, behavioral, and other research data related to preventive health and disease prevention.</li><li>Performing data cleaning, management, quality control, and preparation of datasets for statistical analysis.</li><li>Applying appropriate statistical methods to evaluate research questions, study outcomes, risk factors, associations, and intervention effects.</li><li>Developing and implementing statistical models, including descriptive statistics, hypothesis testing, regression analyses, longitudinal analyses, survival analyses, and other appropriate analytical approaches.</li><li>Using statistical analysis software and programming tools, including R, SAS, SPSS, Stata, and Python, as appropriate for the research project and analytical requirements.</li><li>Developing reproducible statistical programs, scripts, and workflows to support data analysis and quality control.</li><li>Creating statistical tables, graphs, visualizations, and data summaries to communicate research findings effectively.</li><li>Interpreting statistical results and communicating findings to investigators and other research team members.</li><li>Assisting with the preparation of statistical reports, abstracts, manuscripts, presentations, and grant applications.</li><li>Supporting the development and evaluation of research measures, outcomes, and data collection instruments.</li><li>Conducting data quality assessments and identifying potential issues related to missing data, outliers, data distributions, and study variables.</li><li>Ensuring accuracy, reproducibility, and appropriate documentation of statistical analyses and programming procedures.</li><li>Participating in research meetings and providing statistical consultation throughout the development, implementation, analysis, and dissemination phases of Preventive Sciences research projects.</li><li>Maintaining organized documentation of statistical methods, programming code, datasets, analytical outputs, and results.</li></ul> This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. Core Qualifications: <ul><li>Master's degree in relevant field required. Doctoral Degree in Biology, Chemistry, Biostatistics, Health Studies, Neuroscience, Public Health, or closely related field preferred.</li><li>No previous experience required. Minimum 1 year of relevant experience preferred.</li><li>Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.</li><li>Teamwork: Ability to work collaboratively with others and contribute to a team environment.</li><li>Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.</li><li>Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.</li><li>Demonstrate expertise in biostatistics, epidemiology, public health research methods, and study design.</li><li style="color:#2d2d2d !important">Demonstrate proficiency in descriptive and inferential statistics, including regression modeling, hypothesis testing, and advanced statistical analysis.</li><li style="color:#2d2d2d !important">Experience managing, cleaning, and analyzing large quantitative datasets</li><li style="color:#2d2d2d !important">Development of summary statistical reports for scientific collaborators</li><li style="color:#2d2d2d !important">Apply best practices in data management, quality assessment, and data validation.</li><li style="color:#2d2d2d !important">Utilize statistical programming and analysis tools, including R, SAS, SPSS, Stata, and Python.</li><li style="color:#2d2d2d !important">Adhere to research ethics, data confidentiality standards, and scientific reporting requirements.</li><li style="color:#2d2d2d !important">Demonstrate strong skills in statistical analysis, programming, data management, and problem solving.</li><li style="color:#2d2d2d !important">Analyze complex datasets and develop comprehensive statistical analysis plans.</li><li style="color:#2d2d2d !important">Present statistical findings clearly using data visualization.</li><li style="color:#2d2d2d !important">Exhibit strong written and verbal communication skills.</li><li style="color:#2d2d2d !important">Demonstrate strong organizational skills, attention to detail, and the ability to manage multiple projects and deadlines effectively.</li><li style="color:#2d2d2d !important">Translate research questions into appropriate statistical methods and analytical approaches.</li><li style="color:#2d2d2d !important">Interpret complex statistical results and communicate findings clearly to multidisciplinary teams.</li><li style="color:#2d2d2d !important">Identify statistical issues, recommend solutions, and implement appropriate analytical methods.</li><li style="color:#2d2d2d !important">Learn and apply new statistical techniques, software, and analytical tools as required.</li><li style="color:#2d2d2d !important">Work independently and collaboratively while maintaining confidentiality.</li><li>Contribute to research publications, presentations, reports, and grant proposals.</li></ul> Any relevant education, certifications and/or work experience may be considered.The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.Job Status:Full timeEmployee Type:Temporary

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