Biostatistician 1

University of Miami•Hialeah, FL

35d•Remote

About The Position

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.

Requirements

Master's degree in relevant field required.
No previous experience required.
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, including R, SAS, SPSS, Stata, and Python.
Adhere to research ethics, data confidentiality standards, and scientific reporting requirements.
Demonstrate strong skills in statistical analysis, programming, data management, and problem solving.
Analyze complex datasets and develop comprehensive statistical analysis plans.
Present statistical findings clearly using data visualization.
Exhibit strong written and verbal communication skills.
Demonstrate strong organizational skills, attention to detail, and the ability to manage multiple projects and deadlines effectively.
Translate research questions into appropriate statistical methods and analytical approaches.
Interpret complex statistical results and communicate findings clearly to multidisciplinary teams.
Identify statistical issues, recommend solutions, and implement appropriate analytical methods.
Learn and apply new statistical techniques, software, and analytical tools as required.
Work independently and collaboratively while maintaining confidentiality.
Contribute to research publications, presentations, reports, and grant proposals.

Nice To Haves

Doctoral Degree in Biology, Chemistry, Biostatistics, Health Studies, Neuroscience, Public Health, or closely related field preferred.
Minimum 1 year of relevant experience preferred.

Responsibilities

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.