Co-Op Student

Mass General Brigham•Boston, MA

1d•Onsite

About The Position

The research student program at the Walt Lab offers trainees an immersive, hands-on research experience focused on biomarker detection and assay development, with applications in neurodegenerative disease research and related fields. Research Students are introduced to foundational and progressively advanced lab techniques and scientific inquiry within a collaborative, multidisciplinary environment. Through direct experimental training, participation in lab meetings, departmental seminars, and one-on-one mentoring, trainees will build a strong foundation in experimental design, data analysis, and technical skills, preparing them to make meaningful contributions to scientific research. The student will: Understand basic of machine learning classification in the context of basic metabolic testing and clinical blood counts to hematological diseases and pregnancy-associated disorders; develop pipelines for data cleaning, data handling, and their integration with classifiers. As time permits: gain familiarity with protein quantification using ultra-sensitive techniques such as the HDX and SPX. Be able to perform and understand design principles of next-generation EV analysis, assay validation, and single-molecule enzymology.

Requirements

High School Diploma or Equivalent required
Enrolled in a Bachelor's degree program
0-1 year required and Math, statistics, or programming background of coursework
Basic Computer literacy
Attention to Detail
Good Organizational skills and ability to handle multiple priorities
Solid written and verbal communication skills
Good Customer service skills

Nice To Haves

Math, statistics, or programming background of coursework (0-1 year preferred)

Responsibilities

Understand basic of machine learning classification in the context of basic metabolic testing and clinical blood counts to hematological diseases and pregnancy-associated disorders
Develop pipelines for data cleaning, data handling, and their integration with classifiers
Gain familiarity with protein quantification using ultra-sensitive techniques such as the HDX and SPX (as time permits)
Perform and understand design principles of next-generation EV analysis, assay validation, and single-molecule enzymology