Research Data Analyst

Women In Science; Tyler (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

University of Texas in Tyler, TX seeks a data-savvy professional to organize research data for Graduate Medical Education (GME) residency and fellowship programs. The role analyzes data and helps prepare written materials for published presentations and meets ACCME scholarly activity requirements.

Responsibilities include leading analyses, supporting abstracts and manuscripts, and contributing to IRB processes while coordinating with program directors and collaborators locally, nationally, and

Qualifications

• Master’s degree in Biostatistics, Public Health, Epidemiology, Data Science, Health Informatics or related field.
• Two years in clinical research data analysis or related healthcare analytics role with peer-reviewed publication record.
• Combination of education and experience may be considered.

Responsibilities

• Perform secondary analyses of hospital administrative data and clinical registries.
• Generate research hypotheses and analysis plans with investigators.
• Lead study design, data collection, and IRB applications.
• Write reports and manuscripts for publication.

Skills

Statistics

Epidemiology concepts

Data analysis

Communication

Data interpretation

Project management

Education

Master’s degree in Biostatistics or related field

Tools

STATA

SPSS

R

SAS

Job description

University of Texas

Tyler, TX

Job Description

Job Summary

This position will assist in organizing research data for Graduate Medical Education residency and fellowship programs, as well as analyze research and assist with preparation of written/published presentation material and participate in the analysis of GME resident research activities and education. These functions support fulfillment of institutional requirements for GME scholarly activity from the Accreditation Council for Graduate Medical Education.

This position is responsible for organizing the research and scholarly activities of the various GME residencies. This position facilitates all levels of research: study design, data analysis, result interpretation, and preparation of abstracts and manuscripts, submission of material to meetings and journals.

Major Responsibilities/Duties/Critical Tasks

• Secondary analyses of hospital administrative data, specialty registry data from within the institution, and publicly available data.
• Generate research hypotheses and analysis plans in collaboration with the program, faculty and resident investigators.
• Identify, synthesize, and summarize relevant information from peer-reviewed articles and professional reports.
• Lead evaluation projects including design, data collection, and IRB applications.
• Oversee and monitor research and evaluation studies.
• Write reports and manuscripts for publication.
• Submit and present results at conferences and to state agencies, as requested.
• Attend meetings (virtually and in person) with collaborators, locally, nationally, and internationally.
• Develop and maintain educational content for residents and other stakeholders via platforms like Teams channels, etc.
• Track progress of residents in their research and other scholarly activities and report results to program director and team.
• Other duties as assigned.

Required Education/Experience

• Master’s degree in Biostatistics, Public Health, Epidemiology, Data Science, Health Informatics or related field.
• Two years in clinical research data analysis or related healthcare analytics role and a peer-reviewed publication record.
• A combination of education and experience may be considered.

Accompanying Knowledge, Skills, Abilities And Competencies

• Strong statistics training and experience.
• Foundational understanding of basic epidemiological concepts related to study design, bias, confounding, drawing inferences from results, and communicating the study product.
• Peer-review publication record that demonstrates ability to lead analyses or projects.
• Ability to conduct descriptive data analyses and basic regression analyses.
• Knowledge of social determinants of health frameworks and theories.
• Ability to interpret complex datasets and extract meaningful insights to support clinical research objectives.
• Strong scripting skills with STATA, SPSS, R, or SAS and experience analyzing data within these programs.
• Strong communication skills with clear and succinct writing.
• Detail-oriented with strong organizational and problem-solving abilities.
• Ability to manage multiple projects and deadlines in a fast-paced environment.