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

The Johns Hopkins University; Baltimore (MD); Hybride; USD 57 000 - 100 000; Plein temps

Résumé du poste

The Johns Hopkins University in Maryland seeks a Sr. Research Data Analyst to build complex data models and conduct advanced analyses in support of multiple studies.

The role coordinates data activities, ensures reliability of sensor data, and develops datasets and pipelines for transfer, processing, and archiving of wearable sensor data.

Qualifications

• Master's degree in a related field.
• One year of related experience.
• Advanced knowledge in a specialized field of study to conduct research.
• Additional education may substitute for required experience per JHU policy.

Responsabilités

• Develop, manage, and maintain a database for study data across multiple studies.
• Develop SOPs for initial data entry and updates.
• Oversee quality control procedures for database and analysis.
• Develop data models.
• Conduct statistical analyses to support empirical studies.
• Build transmission models.
• Create and curate software tools across diverse programming languages.
• Manage wearable sensor data and documentation for multiple studies, including dissemination and long-term archiving.
• Develop, document, and implement SOPs and code pipelines for sensor data transfer, processing, QC, dissemination, and archiving.
• Prepare descriptions of data and methods for IRB submissions, grant apps, manuscripts, etc.

Connaissances

R programming

Biostatistics

Data management

Data modeling

Data validation

Project management

Statistical modeling

Statistical programming

Formation

Master's degree in related field

PhD in related field (preferred)

Outils

R

Description du poste

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. 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