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 University of Miami/UHealth department of SCCC has an exciting opportunity for a Full Time Biostatistician 2 to work at the UHealth Medical Campus. 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

• Master's degree in relevant field required

• Minimum 5 years of relevant experience required

Knowledge, Skills and Abilities:

• Skill in collecting, organizing, and analyzing data.

• Ability to recognize, analyze, and solve a variety of problems.

• Ability to exercise sound judgment in making critical decisions.

Department Specific Functions

This senior biostatistician works closely with Dr. Ye and other faculty members within the Biostatistics and Bioinformatics Shared Resources (BBSR) to provide comprehensive support in data management, methodological development, advanced biostatistical and bioinformatic analyses, clinical trial design, and result interpretation of findings. They play an integral role in advancing research studies and actively contribute to publication of research projects.

Key Responsibilities:

• Assists in designing research projects, including the specification of hypotheses, sample size calculation and power analysis, and development of statistical analysis plan.
• Performs data management tasks, including dataset creation, cleaning, verification, and database management (e.g., REDCap).
• Conducts complex statistical analyses on observational studies and clinical trials, applying techniques including regression models, multiple imputation, nonparametric methods, Bayesian framework, and predictive model development and validation.
• Implements bioinformatic pipelines and performs data analysis to support omics studies, including genotype data, bulk and single-cell RNAseq data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk score derivation and validation, etc.
• Provides statistical expertise in data visualization, study design, and simulation studies. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency.
• Implements and optimizes computing workflows using high-performance computing clusters.
• Engages in statistical consultations with collaborators, presenting findings and addressing statistical inquiries.
• Contributes to manuscript and grant preparation and revisions by drafting statistical methods and results sections, verifying numerical results, and creating with tables and figures.
• 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.

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): Extensive experience with descriptive statistics, univariate testing, regression models (linear, logistic, Poisson, negative binomial, lognormal, Cox, mixed-effects, GEE, penalized), propensity score matching, meta-analysis, and machine learning methods.
• Bioinformatic Analysis (Advanced): Experienced in gene differential expression analysis, bulk and single-cell RNAseq data analysis, GWAS, PheWAS, and MeWAS (optional).
• Data Management (Expert): Proficient in handling large-scale, high-dimensional datasets, including omics and electronic health records (EHR). Skilled in data acquisition, integration, and quality assurance for large datasets.
• R Programming (Expert): Extensive R coding experience with proficiency in RStudio, RMarkdown, and common Bioconductor packages.
• Computing Skills (Advanced): Experienced with Linux servers and computing clusters.
• Communication (Advanced): Strong ability to communicate complex statistical concepts to interdisciplinary teams. Experienced in presenting results at conferences, workshops, and team meetings.
• 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.

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