Brigham-TechFoundation Remote Data Science & Medical Research Internship
Brigham-TechFoundation Remote Data Science & Medical Research Internship
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OUR PROGRAM:

Learn in the lab, remotely

We give exceptionally strong rising seniors and graduate students in STEM or medical programs the tools to become innovators in the fields of scientific and medical research by providing an integrated internship experience combining data science and medical research. Our internship experience offers both a dive into data science topics through online learning platforms and real-world practical application in the medical field working directly with leading PIs from Harvard Medical School and Brigham and Women’s Hospital.

 
 
 
 
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Purpose

Beyond the tragedies of the lives lost, health compromised, and economies shattered, the COVID-19 crisis deeply disrupted the traditional academic summer internship model wherein bright, aspiring students had the opportunity to experience life science research and apply data analytical skills learned in classes to real-world medical research.

The Brigham-TechFoundation Remote Summer Internship Program was born out of a desire to help the medical educational system return to a sense of normalcy after so much disruption. The incredible success of the program in its first year (2020), however, led us to think bigger about the opportunities and benefits which remote internships can offer to talented students for whom a traditional in-person internship might not be logistically or financially feasible.

 
 

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Michael, Neurobiology & Behavior Major, Cornell University

"Prior to this internship, I had zero exposure to deep learning and neural networks, but I now have successfully implemented a neural network and I understand the inner-workings of it enough to optimize it for our needs."

 
 

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Ellie, Bioengineering Graduate Student, Columbia University

"I took over 90 percent of the project while Dr. Nazim in Dr. Golby’s Lab directly supervised me to answer my questions and help me through the process. I handled over 300 DSA images with size 800*800 and used Python and OpenCV to perform data pre-processing."

 
 

The Experience

The Brigham-TechFoundation internship program has been designed to provide participants with a 6-12-week experience working remotely with top tier researchers on real medical research projects. Interns will be partnered with a Principal Investigator based at Harvard Medical School, Dana-Farber Cancer Institute, and/or the Brigham and Women's Hospital. Projects will include data validation, analysis, and project management, and will directly relate to research for publication in peer-reviewed medical journals. Participants will receive IRB training and certification at the start of the program.

Participants will be awarded a stipend of $5,000 and will be provided with online training in data science analytics and some professional support from data scientists to advance their knowledge of data analysis and related programming. In addition to the online training and professional support, each participant will receive at least one mentoring session with their Principal Investigator dedicated to reviewing their professional interests and professional plans.

 

Medical Research Immersion (~30 hrs/wk)

Each research trainee is given the opportunity to support real state-of-the-art medical research, from raw data collection to data analysis and analytics. Each participant will be partnered with a Principal Investigator (based at Harvard Medical School, Dana-Farber Cancer Institute, and/or the Brigham and Women's Hospital) and participated in one of the PI’s current research projects. Despite the virtual setting, past interns have developed relationships with their PIs extending past the course of the internship and even been granted co-authorship on papers published in medical journals.

Data Science Education (~4-10 hrs/wk)

We aim to provide research trainees with a solid basis in the computational and analytical tools used by medical researchers to turn raw data into meaningful science. We have developed a curriculum of online courses and webinars that will advance their knowledge of key quantitative competencies.

 
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Matthew, Mathematical Sciences major, Colby College

“This internship was a wonderful opportunity to take self-directed action to improve my skills in data science and medical research in place of my disrupted plans this summer. With the help of my PI, the other PI's, and the educational resources provided by the internship, I was able to expand my knowledge of programs like Python and Excel and learn about the myriad of paths there are into the medical profession.”

 
 

Apply

Applications are welcomed through Handshake and will be processed ON A ROLLING BASIS until january 15, 2024.

The program is open to exceptionally strong rising seniors and graduate students in STEM or medical programs, broadly. Generally, applicants will be notified of acceptance within 2 weeks of the deadline, and the internship will run between early June and late August, depending on the individual schedules of those involved (taking PI vacation, travel schedules, etc., into account). Experience with Python (or R) is a plus but is not required.