Research Data Analyst (Department of Epidemiology)

We are seeking to hire a Research Data Analyst to contribute to metabolomics, proteomics, nutritional epidemiology, and chronic disease epidemiology research at Johns Hopkins Bloomberg School of Public Health. The Research Dtaa Analyst will work on both cohort studies [e.g., Atherosclerosis Risk in Communities (ARIC) study, Chronic Renal Insufficiency Cohort (CRIC) study] and trials [Dietary Approaches to Stop Hypertension (DASH), DASH-Sodium, EAT-Plants].

The Research Data Analyst will provide data analysis and related activities for various types of research projects and studies. The Research Data Analyst will contribute to ongoing development, maintenance, and use of a research data pipeline that collects and analyzes data.

Specific Duties & Responsibilities

• Collect data and generate reports and models.
• Run models, analyze model results, and prepare reports on the analysis.
• Conduct analyses in support of the assigned research project or study.
• Conduct statistical analyses using standard and statistical software packages.
• Design and prepare tables to illustrate analytic findings.
• Manage or contribute to entry of data in the assigned database.
• May engage in other research related responsibilities.
• Other duties as assigned.

In addition to the duties described above

• Conduct literature searches and summarize relevant literature with a focus on nutritional epidemiology, omics, and mechanism of disease.
• Manage data, including cleaning, restructuring, and merging datasets.
• Conduct statistical analyses of cohort studies and trials of diet interventions, in collaboration with a biostatistician. Assist with the interpretation of statistical results.
• Contribute to writing of scientific manuscripts for publication and prepare presentations for disseminating results at seminars and conferences.
• Participate in regular meetings for the Nutritional Omics Research Group.
• Store data, code, and other project-related files on shared network drive in accordance with best practices and policies for data protection.
• Contribute to project management, including tracking the progress, following up with faculty and staff, and preparing meeting notes.

• Bachelor's Degree in a related field.
• Three years of related experience.

• Master’s Degree in Biostatistics, Epidemiology, or related quantitative field.
• Experience in coding in R and/or Stata.
• Excellent written and oral communication skills.
• Co-author on peer-reviewed publications.
• Knowledge and experience in nutritional epidemiology.
• Experience in nutritional omics research. Experience in collaborative research.

Technical Skills & Expected Level of Proficiency

• Data Management and Analysis - Developing
• Data Pipeline Architecture & ETL/ELT Development - Developing
• Data Visualization - Developing
• Programming Languages - Developing
• Reproducible Research Practices - Developing
• Research Methodology - Developing
• Statistical Modeling - Developing
• Statistical Programming - Developing

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

Classified Title: Research Data Analyst
Role/Level/Range: ACRP/04/MC
Starting Salary Range: $23.07 - $40.43 HRLY (Commensurate w/exp.)
Employee group: Limited
Schedule: Monday to Friday: 8:30am – 5:00pm
FLSA Status: Exempt
Location: Hybrid/School of Public Health
Department name: Epidemiology
Personnel area: School of Public Health