Job Description

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The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Biostatistician 2 to work at the UHealth medical 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
1. Finalizes analysis plans and writes detailed specifications for analysis of files, consistency checks, tables, and figures.
2. Communicates with clients regarding statistical analysis issues.
3. Prepares data, conducts statistical analysis, and summarizes results for large research projects.
4. Interprets analyses and writes statistical sections of study reports.
5. Prepares results for progress reports, presentations, and peer-reviewed publications.
6. Maintains and documents studies’ databases.
7. Consults with study investigators on planning and specifying statistical analysis.
8. Provides support to resolve barriers to analysis and consults with other methodologists and statisticians.
9. Adheres to University and unit-level policies and procedures and safeguards University assets.

10. 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 5 years of relevant experience required

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.

Department Specific Functions

The biostatistician works with Dr. Ye and other Biostatistics and Bioinformatics Shared Resources (BBSR) faculty to provide support for study design, data management, complex statistical and bioinformatic analysis, clinical trial implementation, and result interpretation, aiding Sylvester Comprehensive Cancer Center investigators in research and patient outcome improvement.

Key Responsibilities:

• Provide statistical expertise in the design of research studies, including the specification of hypotheses, intermediate to advanced study design, and preparation of statistical analysis reports with moderate supervision.
• Contribute to the development of operations and procedures for data collection, cleaning, and management with minimal supervision. Collaborate with research teams on the design and implementation of research projects.
• Develop preliminary analysis plans and provide feedback to and incorporate input from supervisor and collaborators in reviewing and refining analysis plans. Implement planned analyses using a range of statistical methods and technical skills to analyze and interpret data, and participate in more complex methods as needed.
• Effectively communicate with supervisor and collaborators; present analysis results to collaborators during meetings; actively contribute to the preparation of written reports and oral presentations summarizing data analysis results, grant applications and renewals, and publication of research projects.
• Engage in continual learning and develop content area knowledge in their work areas.
• The responsibilities listed are a general overview of the position. Actual tasks may vary based on research projects and collaborations

Department Specific Qualifications                                                                                     

Education:

• Master's degree (MS) in Statistics or Biostatistics (preferred).

Experience:

• A minimum of 5 years of hands-on experience in biostatistical analysis, bioinformatics, or statistical research methodologies, including expertise in applying advanced statistical techniques to real-world datasets.
• Demonstrated expertise and experience working with clinical trials, observational studies, and animal studies. 
• Experience with omics data (such as genomics, proteomics, metabolomics), and bioinformatics tools.
• Proficiency in R programming, with extensive experience in utilizing R for statistical analysis, data processing, and visualization.
• Publication record demonstrating contributions to applied statistics and biomedical research.

Knowledge, Skills, and Attitudes:

• Statistical Analysis (Expert): Deep understanding of statistical theory and methodology, with hands-on experience in descriptive statistics, univariate testing, propensity score methods, meta-analysis, Bayesian inference, and a wide range of regression models (linear, logistic, Poisson, negative binomial, lognormal, Cox, mixed-effects, GEE, penalized).
• Data Management (Expert): Skilled in managing large-scale, high-dimensional datasets, including omics and electronic health records (EHR). Experienced in data acquisition, integration, preprocessing, and quality assurance.
• R Programming (Expert): Extensive experience coding in R, including use of RStudio, RMarkdown, and Bioconductor packages for statistical analysis, reproducible research, and bioinformatics workflows.
• Machine Learning (Proficient): Proficient in machine learning techniques (e.g., unsupervised learning, random forest, XGBoost, neural networks, regularization).
• Communication (Advanced): Strong ability to communicate complex statistical concepts to interdisciplinary teams. Experienced in presenting results at conferences, workshops, and team meetings.
• Bioinformatic Analysis (Preferred): Experience with omics data analysis, such as gene differential expression, bulk and single-cell RNA-seq analysis, GWAS, PheWAS, and MeWAS.
• Computing Skills (Preferred): Proficient with Linux-based computing environments and high-performance computing clusters.
• Peer Leadership (Advanced): Demonstrated ability to mentor junior biostatisticians and support statistical components of collaborative projects.

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 - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.

Job Status:

Full time

Employee Type:

Staff

Pay Grade:

A12

Job Tags

Full time, Temporary work, Work at office, Worldwide,

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