Research Intern

Seattle Children's•Seattle, WA

About The Position

Seattle Children's is an academic teaching hospital committed to building a future workforce that reflects the patients and families it serves. The organization recognizes that internships provide critical learning experiences for professional growth and career readiness. Seattle Children's mission is to help every child live the healthiest and most fulfilling life possible, upholding a founding promise to care for all children in the region regardless of their families' ability to pay. It delivers superior patient care, advances new discoveries and treatments through pediatric research, and serves as the pediatric and adolescent academic medical center for Washington, Alaska, Montana, and Idaho. Consistently ranked among the nation's best children's hospitals by U.S. News & World Report, Seattle Children's is a Magnet designated institution that values hiring and developing great talent. Its core values include Compassion, Excellence, Integrity, Collaboration, Equity, and Innovation. The organization welcomes people of all experiences, backgrounds, and thoughts, fostering a spirit of inquiry and connection with patients and families. Seattle Children's is an Equal Opportunity Workplace and Affirmative Action Employer, committed to recruiting, employing, training, compensating, and promoting based on merit without discrimination. It invests in its employees through competitive benefits and career growth opportunities, guided by its values to cultivate diversity and inclusion, empowering everyone to contribute to improving children's lives.

Requirements

Bachelor’s Degree in computer science, engineering, statistics, or a related quantitative field (or currently enrolled in a Master’s program in a related discipline)
Prior experience with programming and data analysis, which may include coursework, academic projects, or research experience

Responsibilities

Assist in implementing and testing machine learning approaches, including methods using large language models and neural networks
Perform data preprocessing, basic analysis, and statistical evaluation using standard data science techniques
Support development of a web-based user interface for research tools, including coordination with institutional IT for deployment and hosting
Contribute to evaluation of model performance and summarization of results for internal review
Assist with preparation of research materials, including figures, summaries, and draft text for manuscripts in collaboration with the research team