Job Description:

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.



Job Summary
Seeking qualified candidate for a Technical Research Assistant to work on multiple studies of aging and Alzheimer's disease at Brigham and Women's Hospital, Neurology Department. Working under general supervision from lab members, the person in this role will apply statistical and laboratory techniques to imaging and biofluid biomarkers of Alzheimer's disease. Specifically, image processing techniques such as lesion segmentation, image registration, multimodal fusion, and convolutional neural networks on neuroimaging data will be combined with laboratory-based immunoassays to investigate novel biomarkers. Candidate will participate in ongoing experiments, collaborate with researchers, contribute to discussions, and assist with data management. This is a great opportunity for a master's student who is looking for research experience. Demonstrating examples of using Python-based programming for medical notes text mining and convolutional neuronal networks for neuroimaging feature extraction is a plus.


PRINCIPAL DUTIES AND RESPONSIBILITIES:


To apply text mining and convolutional neural network model on longitudinal data for feature extraction.
To assist in data management of multi-site and multi-visit imaging and research data.
To prepare reports and presentations for knowledge dissementation.
Independently perform data entry in study databases, utilizing data management software, regular quality assurance checks, and preparation of specific data for analysis.
All other duties as assigned.



Qualifications


QUALIFICATIONS:

• Bachelor degree in Engineering or Computer Science, Masters is preferred


• Previous experience in multi-domain research groups

SKILLS/ABILITIES/COMPETENCIES REQUIRED:

• Ability to work well independently.


• Excellent interpersonal skills to be able to interact with other researchers


• Strong team player and can communicate well within an interdisciplinary team.


• High level of organizational skills with strong attention to detail.


• Ability to follow directions

WORKING CONDITIONS:


Office and and wet lab environment.


SUPERVISORY RESPONSIBILITY:


None.



Additional Job Details (if applicable)


Additional Job Description



Remote Type


Hybrid



Work Location


77 Avenue Louis Pasteur



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 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. Apply Now