Sr. Research Data Analyst (Johns Hopkins Center on Aging and Health) - #Staff

John Hopkin’s University; Baltimore (MD); Hybrid; USD 57,000 - 100,000; Full time

Job summary

Johns Hopkins University in Baltimore is seeking a Sr. Research Data Analyst to build complex data models and perform advanced data analysis in support of research projects.

The role coordinates data and analysis across multiple studies, supports wearable sensor data curation, and develops data pipelines and datasets for distribution and analysis, in a hybrid work environment.

Qualifications

• Master's degree required; one year of related experience preferred.
• Advanced knowledge and training in a specialized research field.
• Additional education may substitute for experience per policy.

Responsibilities

• Develop, manage, and maintain a study database across multiple studies.
• Create SOPs for data entry and updates; oversee QC procedures.
• Develop data models and conduct statistical analyses to support empirical studies.
• Build transmission models and software tools in support of research efforts.
• Manage wearable sensor data, including documentation, transfer, processing, and archiving.
• Prepare data descriptions for IRB submissions, grants, manuscripts, and reports.

Skills

Biostatistics

Data Mgmt & Analysis

Data Tools

Data QA

Project Mgmt

Research Software Dev

Statistical Modeling

Statistical Programming

Education

Master's Degree in a related field

Job description

We are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for coordination of data and data analysis activities across multiple studies.

This position will support the curation of data from wearable sensors deployed in large population health studies. The Sr. Research Data Analyst will ensure appropriate reliability and accuracy of sensor data across multiple studies and assist with the creation of variables and datasets for distribution and analysis.

Specific Duties & Responsibilities

• Develop, manage, and maintain a database for study data for multiple studies.

• Develop standard operating procedures for initial data entry and data updates.

• Oversee quality control procedures for database and ongoing analysis.

• Develop data models.

• Conduct statistical analyses of data collected in this system to support empirical study.

• Build transmission models.

• Create and curate software tools across diverse programming languages in support of research efforts.

• Other duties as assigned.

In addition to the duties described above

• Manage wearable sensor data and associated documentation for multiple studies, including data dissemination and long-term archiving.

• Develop, document, and implement standard operating procedures and code pipelines for wearable sensor data transfer, processing, quality control, dissemination, and archiving

• Prepare descriptions of data and methods for IRB submissions, grant applications, manuscripts, and other technical documents related to wearable sensor data.

Minimum Qualifications

• Master's Degree in a related field.

• One year of related experience.

• Highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.

• Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

• PhD in a related field.

• Demonstrated proficiency in R programming for data processing and analysis.

• Training in and/or experience with complex, high-dimensional biological data, such as data from digital sensors, medical imaging, or genomics.

• Research or data management experience.

Technical Skills & Expected Level of Proficiency

• Biostatistical Analysis - Intermediate

• Data Management and Analysis - Intermediate

• Data Tool and Resource Development - Intermediate

• Data Validation and Quality Assurance - Intermediate

• Project Management - Intermediate

• Research Software Development - Intermediate

• Statistical Modeling - Intermediate

• Statistical Programming - Intermediate

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

Classified Title: Sr. Research Data Analyst

Role/Level/Range: ACRP/04/MD

Starting Salary Range: $57,195 - $100,040 Annually (Commensurate w/exp.)

Employee group: Full Time

Schedule: Monday to Friday: 9:00am – 5:00pm

FLSA Status: Exempt

Location: Hybrid/School of Public Health

Department name: Epidemiology

Personnel area: School of Public Health

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.