What are the responsibilities and job description for the Neurocognitive Research Intern [Summer 2025 College COACH program] position at Boston Children's Hospital?
At Boston Children's Hospital, the quality of our care - and our inclusive hospital working environment - lies in the diversity of our people. With patients from local communities and 160 countries around the world, we're committed to reflecting the spectrum of their cultures, while opening doors of opportunity for our team. Here, different talents pursue common goals. Voices are heard and ideas are shared. Join us, and discover how your unique contributions can change lives. Yours included.
COLLEGE COACH Summer Internship: Neurocognitive Research Intern
Who we are
Boston Children's Hospital (BCH) is currently ranked as the #1 children's hospital in the nation by U.S. News & World Report. It provides comprehensive and specialized care for infants, children, and adolescents and is a leader in pediatric research, contributing to significant advancements in medical science. BCH also offers a specialized programs and services, including cariology, neurology, oncology, and orthopedics. The hospital is affiliated with Harvard Medical School and plays a key role in training the future pediatric healthcare professionals. BCH's family-centered care emphasizes a holistic approach, providing extensive support services for families so they have comprehensive care and support through their medical journey.
The opportunity
The College COACH summer internship is a paid program running from Monday, June 9-Friday, August 8, 2025. In addition to on-the-job training and work experience, the program includes workshops and additional development programs. College students will work 35 hours/week.
The intern will work in a research lab focused on applying machine learning to neuroimaging and neurocognitive data, particularly in congenital heart disease (CHD) patients. The lab combines computational techniques with medical data to improve understanding and prediction of neurocognitive outcomes.
What you'll do
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Preprocess and analyze MRI and non-MRI data using Python/ML frameworks.
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Develop and test machine learning models for neurocognitive score prediction.
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Perform data imputation, feature selection, or clustering as needed.
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Collaborate in weekly research meetings and document progress.
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Write reports and prepare findings for potential publication.
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This position is hybrid.
What you'll get
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Hands-on experience in ML techniques applied to medical data.
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Data preprocessing, feature engineering, and model evaluation.
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Exposure to neuroimaging and neurocognitive analysis.
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Research collaboration, communication, and scientific writing.
Who you are
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You are an undergraduate college student interested working in healthcare
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Technical: Python, machine learning (scikit-learn, TensorFlow/PyTorch), data handling (Pandas, NumPy), basic statistics.
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Interpersonal: Strong problem-solving skills, ability to work independently and in teams, good communication skills.
This hybrid internship provides flexibility while ensuring hands-on research experience. Strong performers may have opportunities for co-authorship in publications.
Recruitment process
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Internship opportunities: We aim to have all summer internship opportunities posted by February 28. They will be posted on a rolling basis as managers determine their availability to host an intern.
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Resume review & interviews: Applications will be screened, forwarded to managers as appropriate, and interviews will be scheduled.
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Offer decision: We will follow up within one week of your interview.
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Onboarding: Those selected for the internship program will complete onboarding by May to ensure a smooth start to the program.
Boston Children's Hospital requires all employees to be vaccinated against COVID-19 and Flu, (unless you are eligible for a medical or religious exemption).
Boston Children's Hospital is an Equal Opportunity / Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disability.
