Program Description
LEAH Knox is an integrated data science and biomedical research internship. LEAH Knox takes place in a university setting rather than an industry setting. This program meets in the MIT Biology building and lab work is led by MIT Biology faculty instructors and graduate student Teaching Assistants.
As a LEAH Knox intern, you will work on one major research project for most of the summer. You will collect a water sample from the Charles River and identify a strain of bacteria in that sample. You will learn molecular biology lab techniques to identify the bacteria, work with its DNA, and analyze its growth using data analysis techniques. You will do this lab work collaboratively with a partner and with guidance from instructors, but there is an emphasis on independent learning and lab work.
LEAH Knox is a good fit for students who prefer to work more independently and/or students who have an interest in the intersection of data science and biology.
You must be available to participate in the internship from July 7th– August 8th. The commitment is every day, Monday – Friday from 9:30 AM – 4:00 PM. There are no weekend commitments.
Youth can earn up to $2,250 for the summer.
Requirements
At least 16 years old by July 7th, 2025
A current high school freshman, sophomore, or junior (seniors ineligible)
Interested in science and have taken a high school biology class
Reside in and/or attend school in Massachusetts and be able to travel to the Kendall Square Area in Cambridge five days a week in the summer.
Meet at least one of the following criteria: (1) Be from a racial or ethnic group considered underrepresented in the sciences* (2) AND/OR be from an economically disadvantaged background
**No prior lab or research experience is needed. All that’s required is an interest in scientific research and a willingness to learn and work hard! You should have completed a high school biology class prior to July 2025. This program is particularly well-suited for students interested in exploring a career in biology, biotechnology, or life sciences.