Quantitative Research Analyst (TEMP)

Responsibilities

• Data Management, Integration & Advanced Quantitative Analysis: Prepare, manage, and analyze large, nationally representative secondary datasets using R statistical software. Perform data cleaning, variable construction, and harmonization of multi-source and multilevel datasets, including integration of geocoded environmental exposures and longitudinal cohort data. Apply advanced statistical and analytic methods, including descriptive analyses, regression modeling, fixed effects longitudinal models, mediation and moderation analyses, path analysis, latent class analysis, and propensity score methods; support analyses involving biomarker and bioinformatics data (e.g., epigenetic or inflammatory measures). Produce publication- and grant-ready tables, figures, and analytic outputs. Maintain reproducible workflows and version control using GitHub or similar platforms, ensuring data integrity and quality assurance.
• Scientific Writing & Publication Development: Contribute to the preparation of scientific manuscripts, including independently drafting methods and results sections. Provide feedback on introductions and discussion sections and support submission and revision processes, including editing proofs and formatting references. Collaborate with the principal investigator and research team to translate analytic findings into scholarly outputs addressing population health and health disparities. Participate as a co-author on manuscripts and pursue opportunities to lead independent research publications.
• Grant Development & Research Strategy: Support grant proposal development and submission, including conducting targeted literature reviews and identifying appropriate measures and instruments. Draft non-scientific grant components (e.g., Protection of Human Subjects, Data Management and Sharing Plans) and assist in developing analytic plans aligned with study aims. Tailor investigator biosketches and coordinate with grants administration on budget preparation and submission requirements. Contribute to study design, conceptual frameworks, and analytic strategies across research projects.
• Research Administration, Collaboration & Compliance: Collaborate closely with the principal investigator and research team across multiple concurrent projects, supporting coordination of research activities and timelines. Draft IRB protocols, coordinate study amendments, and ensure compliance with regulatory and data governance requirements. Prepare and manage data use agreements and support ethical use of sensitive and restricted datasets. Perform additional research-related administrative tasks as needed, including ordering lab supplies and supporting lab operations.

Requirements

• Bachelor's or Master's degree and 2+ years of relevant experience, or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219(6).
• Master's degree or higher (e.g., MPH, MS) in a relevant field (e.g., public health, social sciences, psychology, biostatistics, or a related discipline).
• Demonstrated proficiency in R for data preparation and statistical analysis, and initiative to independently implement analytic approaches with guidance.
• Experience conducting advanced quantitative analyses for epidemiological research, including regression, structural equation modeling, and causal inference methods.
• Familiarity with bioinformatic approaches for analyzing genetic and epigenetic data (e.g., DNA methylation, RNAseq).
• Strong scientific writing skills, with demonstrated ability to communicate methods and findings clearly and accurately.
• Highly detail-oriented, organized, and self-directed; able to manage multiple tasks and meet deadlines with a high degree of independence.

Qualifications

• Ph.D. in a relevant field (e.g., public health, social sciences, psychology, biostatistics, or a related discipline).
• Experience with advanced quantitative and qualitative research methods.
• Knowledge of public health policy and practice.
• Experience with qualitative and quantitative data collection methods.
• Experience with data management and analysis software such as SPSS, SAS, or STATA.

Skills

• Advanced proficiency in R programming.
• Experience with data visualization tools such as ggplot2 or Tableau.
• Experience with statistical software such as SPSS, SAS, or STATA.
• Experience with bioinformatics and genomics tools.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team.
• Strong organizational and time management skills.

Benefits

State Benefits eligibility for OPS employees are subject to criteria established by the State of Florida. The state's benefits administrator, People First, determines eligibility and coordinates enrollment. If this position becomes eligible for state benefits the employee will be notified directly by People First. OPS positions are not entitled to paid time off.

Pay

$23.33 to Negotiable

Schedule

Full time. Work Schedule: Monday - Friday; 8:00 AM - 5:00 PM. Hours will vary based on University needs.