Boston, MA, United States of America
19 hours ago
Student Intern Research Assistant 1, LW
Site: The Brigham and Women's Hospital, Inc.


 

At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission—from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community.  We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.

At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare — people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds – to apply.


 

100% grant funded Research posting for student intern


 

Job Summary

We are seeking a full-time summer Research Assistant (RA) intern to support this work from May to August 2025. The RA will assist with data management and analysis, including data entry, database development, and preliminary statistical analyses under supervision. Additional responsibilities include preparing research reports (e.g., IRB submissions), conducting literature reviews, and performing administrative tasks such as organizing research materials and maintaining documentation. This role requires strong communication, organizational skills, and attention to detail in an academic research setting.


 

Qualifications

Our research team focuses on leveraging electronic health records (EHR) and artificial intelligence (AI) to enhance early detection and understanding of Alzheimer’s disease and related dementias. Specifically, we aim to identify and analyze subjective cognitive decline using advanced informatics and AI-driven methodologies. Our work integrates machine learning, natural language processing, and predictive modeling to develop case-finding methods and investigate risk factors and outcomes associated with cognitive decline.

We are seeking a full-time summer Research Assistant (RA) intern to support this work from May to August 2025. The RA will assist with data management and analysis, including data entry, database development, and preliminary statistical analyses under supervision. Additional responsibilities include preparing research reports (e.g., IRB submissions), conducting literature reviews, and performing administrative tasks such as organizing research materials and maintaining documentation. This role requires strong communication, organizational skills, and attention to detail in an academic research setting.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

Assist with database creation, maintenance, and data cleaning to support research projects.Utilize SQL, Excel, Python, and R for data collection, database development, and basic data analysis (training available).Prepare Institutional Review Board (IRB) documentation for study protocol approvals and amendments.Schedule and coordinate conference calls, research meetings, including preparing agendas and pre-meeting materials.Conduct literature searches and maintain a well-organized bibliographic library.Assist in preparing presentations, including PowerPoint slides, tables, and graphs for research dissemination.Contribute to research reports, manuscripts, and conference presentations.Perform general administrative tasks, including photocopying, emailing, mailing, faxing, and documenting project work.

Qualifications:

High School Diploma required; Bachelor's degree preferred.Proficiency in Microsoft Word, PowerPoint, and Excel.Familiarity with videoconferencing software and webinar setup.Experience with programming languages such as SQL, Python, R, or Java/JavaScript (preferred).Experience with AI, machine learning (ML), and large language models (LLMs) (preferred).

SKILLS/ ABILITIES/ COMPETENCIES REQUIRED:

Strong attention to patient privacy and confidentiality.Excellent oral and written communication skills.Strong organizational skills with the ability to prioritize tasks and manage multiple projects.Ability to work independently with minimal supervision while also collaborating effectively in a team environment.Strong work ethic and ability to meet deadlines.Professionalism and respect when working with hospital leadership and staff.Willingness to learn new software tools as needed.

WORKING CONDITIONS:

Office setting with a cubicle workspace.


 

Additional Job Details (if applicable)

n/


 

Remote Type

Onsite


 

Work Location

1620 Tremont Street


 

Scheduled Weekly Hours

0


 

Employee Type

Temporary


 

Work Shift

Day (United States of America)


 

EEO Statement:

The Brigham and Women's Hospital, Inc. is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. 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.


 

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.

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