BIOSTATISTICIAN 3

University of Miami•Miami, FL

5d•Hybrid

About The Position

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. 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

Requirements

Master's degree in relevant field required.
Minimum 7 years of relevant experience, 5 of postdoctoral experience in biostatistical consultation or collaborative research in clinical, health services, or translational science.
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.

Nice To Haves

PhD in Biostatistics or closely related field (e.g., Epidemiology, Applied Statistics) preferred.
Statistical analyses, including multivariable modeling, survival analysis, longitudinal analysis, and machine-learning and AI methods (e.g., neural networks, SVM) certifications preferred.

Responsibilities

Collaborates with Principal Investigators on the written plans for statistical analysis, estimation of sample size and statistical power.
Helps with design and development of research-study databases during the planning stages of genetic epidemiology studies.
Supervises junior Biostatisticians on research projects, develops training materials, and helps in the hands-on training of newly hired Biostatisticians.
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.
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.
Adheres to University and unit-level policies and procedures and safeguards University assets.
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