Biostatistician 2- Petrucceli

University of Miami•Miami, FL

1d•Onsite

About The Position

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.

Requirements

Master's degree in relevant field required
Minimum 2 years of relevant experience required
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.
Master’s degree in Biostatistics, Bioinformatics, Biotechnology, Molecular Biology, or related field (e.g., M.S. in Biotechnology with Bioinformatics concentration).
Minimum 5 years of relevant experience in biostatistics, bioinformatics, or computational biology, with demonstrated responsibility for advanced statistical analysis, multi-omics data integration, and collaborative research projects.
Advanced proficiency in R, Python, Bash, workflow management (Snakemake, Slurm), and cloud/HPC environments.
Expertise in hypothesis testing, regression modeling, dimensionality reduction, machine learning, and data visualization.
Strong problem-solving abilities and sound judgment in critical decision-making.

Nice To Haves

Experience in grant writing, manuscript preparation, and technical reporting.
Commitment to mentorship, collaboration, and professional development.
Knowledge of laboratory and molecular techniques (PCR, Sanger sequencing, CRISPR-Cas9, molecular cloning) is a plus

Responsibilities

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.
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.
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.
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.
Prepare publication-quality figures and tables using ggplot2, tidyverse, and other visualization tools.
Draft and revise manuscripts, grant applications, and technical reports, integrating data interpretation and results synthesis.
Summarize results for progress reports, presentations, and peer-reviewed publications.
Manage secure storage, maintenance, and access control of sensitive data in cloud and HPC/cluster environments.
Ensure compliance with institutional policies, HIPAA regulations, and best practices for data security and integrity.