Behavioral Neuroscience and Computer Vision CoOp Student RESEARCH NEUROLOGY CJ

Mass General Brigham•Boston, MA

4h•Hybrid

About The Position

The Brigham and Women's Hospital, Inc. 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. Summary Responsible for supporting the delivery of patient care, participate in administrative tasks, and assist in various healthcare projects. Provide you with valuable hands-on experience in a dynamic healthcare environment and contribute to your professional development. Does this position require Patient Care? No Essential Functions -Provide assistance to patients and their families, answering questions and addressing concerns within your scope of knowledge. -Assist in scheduling patient appointments, ensuring efficient utilization of resources and optimal patient flow. -Responsible for supporting the delivery of patient care, participate in administrative tasks, and assist in various healthcare projects. -Valuable hands-on experience in a dynamic healthcare environment and contribute to your professional development. -Help with data entry and maintaining electronic health records (EHR) systems. Additional Job Details (if applicable) The student will participate in a collaboration between BWH investigators and the mouse behavior core at HMS. This core is supported by a consortium agreement between HMS, BWH, and Boston Children's Hospital. The goal of the current project is to support the implementation of new computational methods for automated analysis of mouse behavior, in parallel at HMS and BWH. The student will gain experience in mouse behavioral methods, and specifically with automated computational methods for measuring and analyzing behavior in mouse models of neurological disease. The student will gain experience of computational pipelines for analyzing large amounts of video and other behavioral data, and in the application of machine learning/AI methods to draw biological conclusions from the data.

Requirements

High School Diploma or Equivalent required
Currently enrolled as a student pursuing a relevant degree or diploma in a healthcare-related field.
0-1 year experience required
Strong interest in the healthcare industry and a desire to gain practical experience.
Excellent communication and interpersonal skills to interact effectively with patients, healthcare professionals, and staff.
Detail-oriented with good organizational and time management skills.
Ability to handle confidential information with integrity and professionalism.
Proficient in using basic computer software.
Willingness to learn, adapt, and contribute as part of a healthcare team.

Nice To Haves

Knowledge of healthcare regulations and privacy laws is an asset.

Responsibilities

Provide assistance to patients and their families, answering questions and addressing concerns within your scope of knowledge.
Assist in scheduling patient appointments, ensuring efficient utilization of resources and optimal patient flow.
Responsible for supporting the delivery of patient care, participate in administrative tasks, and assist in various healthcare projects.
Valuable hands-on experience in a dynamic healthcare environment and contribute to your professional development.
Help with data entry and maintaining electronic health records (EHR) systems.
Support the implementation of new computational methods for automated analysis of mouse behavior.
Gain experience in mouse behavioral methods, and specifically with automated computational methods for measuring and analyzing behavior in mouse models of neurological disease.
Gain experience of computational pipelines for analyzing large amounts of video and other behavioral data.
Gain experience in the application of machine learning/AI methods to draw biological conclusions from the data.