Research Data Manager l Redline
221 Longwood Avenue Boston (Boston Lying-In), United States
Mass General Brigham
Mass General Brigham is an integrated healthcare system, uniting great minds to solve the hardest problems in medicine for our communities and the world.
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Job Summary
This position is a data management/programming position within the Division of Sleep Medicine Epidemiology and Cardiovascular Research in the Department of Sleep and Circadian Disorders. The primary role of the data manager/programmer, under the direction of the IS Systems Manager, will include database creation, data management, and data cleaning as well as report generation for ongoing clinical epidemiological research projects, including large cohort studies and genetic-epidemiological studies. Duties include programming (SAS, R), database creation (REDCap), data management, data harmonization and cleaning, report design and generation, user interface design, and creation and maintenance of SOPs/documentation. The RDM will oversee the merging and tracking of multiple streams of data, including physiological data, sleep data, environmental exposure data, and genomics data. With oversight from lead statisticians, will assist in statistical analyses. The RDM will provide input on the design of data collection instruments, assist with implementation and oversight of data management and maintenance (e.g. documentation, SOP creation), assist with intermediate and final report generation, provide quality assurance monitoring for data input from various sources and sites, conduct basic statistical analyses, and to assist with preparation of grant applications.
Qualifications
Education
Bachelor's Degree Analytics required or Bachelor's Degree Related Field of Study required
Can this role accept experience in lieu of a degree?
Yes
Licenses and Credentials
Experience
Data Analysis Experience 0-1 year preferred
Knowledge, Skills and Abilities
- Building proficiency in statistics, data analysis, and research methods.
- Solid analytical and organizational skills.
- Strong communication skills both written and oral.
- Strong time management and project management skills.
- Ability to exercise sound judgments to make decisions within scope of job responsibilities.
- Demonstrated knowledge of and skill in word processing, spreadsheet, and database PC applications.
Additional Job Details (if applicable)
Remote Type
Hybrid
Work Location
221 Longwood Avenue
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
EEO Statement:
The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
Mass General Brigham Competency Framework
At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data management Nonprofit R Research SAS Statistics Teaching
Perks/benefits: Career development
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