Empowering next generation of leading scholars
Internship Program
Internship Opportunities in IT and Computational Science
IT projects include authentic applications of coding Python, Java or C++ in cryptography, cybersecurity or global disease data trend evaluations. Additionally, our Summer 2025 program will feature a mobile app development project and AI applications. Computational science projects utilize molecular modeling, bioinformatics and other in silico medicinal chemistry methods for biochemical or medicinal applications (cancer and other diseases). MTI provides supercomputing access for students in relevant projects through NSF ACCESS program. Also, please check out our asynchronous computational certificate program. Students who successfully completed this program may be given priority in certain internship projects.
Our previous students who successfully completed our program with additional follow up work have secured $130K+ college scholarships!
Summer 2025 Projects: Mobile Tracker App Development in ReactNative, Personalized AI Chatbot Development for Diabetes Information, Molecular Dynamics Simulations of PAH Protein and PKU-Causing Mutants, ADME/T Exploration of Candidate Drug Molecules, Quantum Mechanical Simulations of Candidate Drugs, AI Chatbot Development for PKU Disease Management, Analysis of COVID19 Data Utilizing C++, and more.
How does it Work?
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General Information
Students will join research groups of University professors to perform authentic research projects. Results will be published with student authors when applicable. All projects are virtual in a collaborative environment with 2-3 times a week live group meetings and daily data upload.
Questions? Contact: info@metrotechinstitute.org
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Eligibility, Dates and Tuition
Undergraduate and high school students (10th grade and up) are eligible to apply.
Summer 2025 Program: June 18 - July 30 (Monday-Thursday)
Annual Student Research Symposium: August 2, 2025
Tuition: $500 for high school students. Waived for undergraduates. Scholarships and stipends are available.
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Paid Internship Opportunity through the ACS Project Seed Program
$4,000 stipend opportunity for high school students. Students who are 10th grade and up with a family income of 200th percentile or below are eligible to apply. Additionally, students must have completed chemistry course. Directly apply at the ACS Project Seed site February-March 2025 and select MetroTech Institute. Students also should complete the MTI application form. Project Seed students start two weeks earlier than the other students in our program.
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Additional Paid Internships Opportunities at MTI
Up to $2,500 endowed stipend opportunity is available for undergraduate and high school students. Students must successfully complete the 6-8 week long research signed by their research professors. This is a merit based opportunity and students from minority or minoritized communities are encouraged to apply. Economically disadvantaged students are encouraged to apply to our ACS Project Seed Program.
Sample Projects
Development of a Python-Based Encryption for Cancer Clinical Trial Data
Under the guidance of a college professor, students will develop a Python-based encryption tool to secure sensitive cancer clinical trial data. Leveraging encryption algorithms, this project ensures confidentiality and integrity, safeguarding valuable medical information. With user-friendly features, it empowers researchers to protect data integrity while facilitating secure collaboration and analysis within the scientific community.
A Data Driven Exploration of COVID-19: Understanding the Pandemic
Students will work in a collaborative environment to analyze COVID-19 data to gain insights into the spread of the virus, its impact on different regions, and trends over time. They will be challenged by data inconsistencies, big data, and interpreting statistical results accurately.
Deciphering Effects of Rett Syndrome Causing Single Point Mutations on MeCP2 Protein
Students will work under the guidance of a college professor to perform MD simulations of MeCP2 protein (mutant and natural) in supercomputers. The goal of the project is to understand the impact of mutations on protein properties at the molecular level.
Investigation of Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) Properties of Inhibitors in Type 2 Diabetes
Students will join a research group of a professor to decipher physical, ADMET and other medicinal chemistry properties of type 2 diabetes drug molecules. This is part of a larger project which aims to develop an accurate and efficient computational protocol for small molecule evaluation.
Identification and Evaluation of PLK1 Inhibitors to Prevent Cancer Proliferation
Students will employ virtual docking and other simulation techniques under the guidance of a college professor to identify top hit molecules with a potential to bind to PLK1 selectively.
Molecular Dynamics Simulations of Mutant and Wild-Type Phenylalanine Hydroxylase to Decipher PKU Disease Mechanisms
Students will work collaboratively to investigate a series of mutations associated with PKU disease through molecular dynamics simulations. Supercomputers will be utilized for this work. The resulting trajectories will be extensively analyzed to understand the effects of mutations on the PAH protein.
