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Biostatistician - Petrucceli

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: University of Miami
Full Time position
Listed on 2026-01-20
Job specializations:
  • Research/Development
    Data Scientist, Clinical Research, Research Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Biostatistician 2- Petrucceli

Overview

The University of Miami/UHealth Office of the Dean has an exciting opportunity for a Full Time Biostatistician 2 to work at the UHealth campus in Miami, FL.

Core

Job Summary

The Biostatistician 2 provides advanced statistical support and implements new strategies and analysis options with project PIs. The Biostatistician 2 prepares written reports to document analytic activities and summarizing results and participates in the development and the testing of efficient protocols for the collection, verification, management, and analysis of large amounts of genotypic and phenotypic data. Further, the Biostatistician 2 serves as liaison between the more junior Biostatisticians of the department and the research community.

Core

Job Functions
  • Finalizes analysis plans and writes detailed specifications for analysis of files, consistency checks, tables, and figures.
  • Communicates with clients regarding statistical analysis issues.
  • Prepares data, conducts statistical analysis, and summarizes results for large research projects.
  • 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.
  • 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

    Education:

    Master's degree in relevant field required

    Experience:

    Minimum 2 years of relevant experience required

    Certification and Licensing:
    Refer to department description for applicable certification requirements

    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 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.

    This is a core job profile description and is not reflective of all duties that may be assigned to a specific position in each individual department. The above statements are intended to describe the general nature and primary responsibilities of this core job profile. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job.

    Department

    Addendum Department Specific Functions

    Advanced Statistical Analysis & Bioinformatics

    • Perform complex statistical analyses and bioinformatics workflows on large-scale genomic, proteomic, lipidomic, and clinical datasets.
    • Develop, optimize, and maintain reproducible data-processing pipelines using R, Python, Bash, and workflow management tools (e.g., Snakemake, Slurm).
    • Apply hypothesis testing, regression modeling (linear, logistic, Cox, mixed/random effects), dimensionality reduction, and machine learning techniques to biological and clinical data.

    Multi-Omics Data Integration & Quality Control

    • Integrate and analyze multi-omics datasets (genomic, proteomic, lipidomic) to identify biomarkers and inform research hypotheses.
    • Conduct rigorous quality control, outlier detection, and data wrangling using advanced statistical and computational methods.

    Collaborative Research & Project Coordination

    • Collaborate with principal investigators, research scientists, and external partners on multi-institutional projects.
    • Advise graduate students and postdocs on statistical methods, data interpretation, troubleshooting, and data visualization strategies.
    • Present and explain complex analytical results to diverse audiences, including clinicians, scientists, trainees, and collaborators.

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