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

Johns Hopkins University

Baltimore, MD · HybridFull-time$57–100K/yrSeen 6 days agoSeen in employer's feed 6 days ago

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At a glance

Compensation
$57–100K/yr
Location
Baltimore, MDHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Sr. Research Data Analyst supports research projects and studies by coordinating data activities, building complex data models, and conducting analysis. The role focuses on curating wearable-sensor data from large population health studies, ensuring its reliability and accuracy, and preparing variables and datasets for distribution and analysis. It also manages data pipelines, documentation, dissemination, and long-term archiving across multiple studies.

Skills & qualifications

RequiredNice to have

Skills

R ProgrammingBiostatistical AnalysisData Management and AnalysisData Tool DevelopmentData ValidationQuality AssuranceProject ManagementResearch Software DevelopmentStatistical ModelingStatistical ProgrammingHigh-Dimensional Biological DataDigital SensorsMedical ImagingGenomicsResearch Data Management

Qualifications

Master's in Related Field1 Year Related ExperiencePhD in Related Field

Full 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.

How this job compares

Set against the 5,318 open Data Analyst jobs on Olive Jobs, counted October 30, 2026.

Pay
  • This posting$57–100K/yr
  • Maryland median$85–132K/yr85 salary ranges
  • US median$90–133K/yr3,321 salary ranges

This range's midpoint, $79K, is 29% below the Maryland median midpoint ($110K) — in the lowest quarter of Data Analyst salary ranges in Maryland.

Openings
Olive Jobs lists 191 open Data Analyst jobs in Maryland and 5,318 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Maryland
Experience
This posting asks for at least 1 year of experience — less than three in four Data Analyst postings that state a minimum ask for (median 4 years, across 3,964 postings).
Education
2,292 of the 5,318 open Data Analyst jobs (43%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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