MSDA Teaching Assistant

About the role

The MSDA program is recruiting Teaching Assistants to support online, asynchronous graduate-level coursework in healthcare data analytics. TAs help learners master statistics, Python/R/SQL, data visualization, and introductory machine learning by connecting concepts to healthcare across clinical, research, and operations contexts.

Essential Functions

• Deliver high-quality instruction in alignment with their area of expertise and program needs.
• Develop and manage online course content using Desire to Learn (D2L) where applicable.
• Publish and maintain the course syllabus.
• Oversee course management and content delivery.
• Conduct assessments and assign grades for student performance.
• Provide student mentoring and academic support, including designated office hours.

Qualifications

• Education: Master’s in data science, statistics, computer science, informatics, or related field (healthcare background a plus).
• Licenses and Credentials: None required.
• Experience: 1–3 years of teaching/mentoring/tutoring (online experience preferred).
• Experience with: Proficiency with Python and/or R, SQL, data visualization, and foundational statistics.
• Familiarity with: D2L/Brightspace or similar LMS; strong written communication.
• Knowledge, Skills And Abilities: A commitment to graduate student success within the academic environment. Ability to work independently and effectively engage with various stakeholders, including students, faculty, administration, staff, patients, and external partners. Ability to prioritize tasks, self-monitoring, and collaborative teamwork, especially in interprofessional settings. Tracking multiple project progress is an essential skill for success in this role.

Additional Job Details

The salary of the finalist selected will vary based on their course assignment and number of credit hours they will be working during the semester.

Remote

Remote Work Location: 100 First Avenue

Scheduled Weekly Hours

0

Employee Type

Per Diem

Work Shift

Day (United States of America)

EEO Statement

The MGH Institute of Health Professions, 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.