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Biostatistician

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: University of Miami
Full Time, Seasonal/Temporary position
Listed on 2026-02-16
Job specializations:
  • Research/Development
    Data Scientist
  • Healthcare
    Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
BIOSTATISTICIAN 3 page is loaded## BIOSTATISTICIAN 3remote type:
On-Site locations:
Miami, FLtime type:
Full time posted on:
Posted Todayjob requisition :
R
** Current Employees:
** If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click  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 .The University of Miami/UHealth's Department of Pediatrics has an exciting opportunity for a full-time Biostatistician 3 to work in Miami, FL.The

Biostatistician 3 provides advanced statistical support and implements new strategies and analysis options with project PIs. Further, the Biostatistician 3 serves as liaison between the more junior Biostatistician members of the department and the research community. The Biostatistician 3 supervises large projects, collaborates with Principal Investigators on the written plans for statistical analysis, estimates sample size and statistical power, and assists with design and development of research-study databases during the planning stages of genetic epidemiology studies.

** CORE JOB FUNCTIONS
** 1. Collaborates with Principal Investigators on the written plans for statistical analysis, estimation of sample size and statistical power.  
2. Helps with design and development of research-study databases during the planning stages of genetic epidemiology studies.  
3. Supervises junior Biostatisticians on research projects, develops training materials, and helps in the hands-on training of newly hired Biostatisticians.  
4. Conducts data management and analysis on both PC and Linux platforms, including programs for human pedigree analysis, basic statistical software, and query-based extraction of data, both clinical and laboratory, from a large relational database.  
5. Contributes to all aspects of data analysis including the writing of abstracts and manuscripts for peer-reviewed publication and posters and talks for presentation at scientific meetings.  
6. Adheres to University and unit-level policies and procedures and safeguards University assets.
** Department Specific Functions
*** Collaborate with principal investigators and interdisciplinary teams on the design, execution, and analysis of research studies.
* Perform advanced statistical analyses, including multivariable modeling, survival analysis, longitudinal analysis, and machine-learning and AI methods (e.g., neural networks, SVM).
* Provide expert consultation on study design, sample-size calculations, power analyses, and statistical methodologies.
* Serve as the statistical lead on grant applications and funded projects; assist in the development of study protocols and methodological sections for IRB and funding agencies.
* Mentor junior statisticians, faculty, trainees, and research staff.
* Participate in abstract, manuscript, and presentation development; serve as co-author as appropriate.
* Supervise up to two Master’s-level statisticians and guide junior data analysts or postdocs in statistical work.
* Maintain and enhance quality assurance in data analysis and reporting in accordance with institutional, federal, and regulatory standards.
* Stay current with emerging statistical techniques
* Hybrid and flexible work arrangements may be available.
* Will report to the Director of the Child Health Services Research Institute and Chair of Pediatrics.
** MINIMUM QUALIFICATIONS
*** Master's degree in relevant field required. PhD in Biostatistics or closely related field (e.g., Epidemiology, Applied Statistics) preferred.
* Minimum 7 years of relevant experience, 5 of postdoctoral experience in biostatistical consultation or collaborative research in clinical, health services, or translational science.
* Statistical analyses, including multivariable modeling, survival analysis, longitudinal analysis, and machine-learning and AI methods (e.g., neural networks, SVM) certifications preferred.
*
* Knowledge, Skills and Abilities:

*** Learning Agility:
Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
* Teamwork:
Ability to work collaboratively with…
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