Data Coordinator
GENERAL SUMMARY/ OVERVIEW STATEMENT:
The Harvard Aging Brain Study is seeking a full-time Data Coordinator for a neuroimaging research program at Massachusetts General Hospital. Our group investigates alterations in brain function, structure, and molecular pathology in normal aging and Alzheimer's disease. This position joins the data processing and informatics team and would take responsibility for day to day database and data management tasks, running and maintenance of ETL pipelines, running of automated quality assurance tasks, and production of bespoke datasets and SQL queries to aid researchers. This role presents a great opportunity for those seeking an entry point into the burgeoning data science field. The Data Coordinator will work with, and report directly to the Data Analytics Manager.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Managing permissions for database access.
- Assembling datasets to allow researchers to answer complex research questions.
- Assist in the implementation of automated Quality Assurance routines.
- Maintenance and further refinement of lab ETL pipelines.
- Aid in the testing of new database and data management systems.
- Assist in the Storage, organization, and security of large neuroimaging and genetics datasets.
- Develop documentation for informatics system and associated tools.
- Assisting with data reporting and monitoring for regulatory oversight.
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
- Very detail-oriented and highly organized.
- Familiarity with relational databases such as MySQL, SQL server etc.
- Competencies with programming/scripting languages, such as MATLAB, Python, or Java.
- Ability to work independently and as part of a team.
- Must be highly motivated and well-organized, personable, and have good communication skills.
EDUCATION:
Bachelor’s degree in Computer Science, Engineering, Physics, Math, or other relevant discipline.
EXPERIENCE:
No work experience is required, though 2+ years of experience including expertise with statistical analysis preferred. Experience through coursework or undergraduate/graduate research projects is applicable.