Intern, Research - Temporary

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

 

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality.

 

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

 

The Matsen group fosters a lively yet casual environment, with a strong emphasis on collaborative work. The Computational Biology Program is housed in a lovely campus on Lake Union a short walk from downtown, and a slightly longer walk from the University of Washington. The Matsen group is in the newly-remodeled Steam Plant building overlooking the lake. We have had interns with backgrounds in biology, physics, statistics, math, and computer science. One internship position is available for summer 2025.  

 

The lab of Dr. Frederick Matsen in the Computational Biology program at Fred Hutch is seeking a highly motivated student interested in computational immunology and machine learning to contribute to research on modeling B-cell receptor sequences using transformer neural networks. 

 

You can find out more about our group by visiting:  

http://matsen.fredhutch.org/  

http://github.com/matsengrp 

 

This role will have the opportunity to work partially at our campus and remotely.

• Assist with data processing and preparation of B-cell receptor sequence datasets
• Help implement and test machine learning model components
• Contribute to the development of evaluation metrics and visualization tools
• Document code and experimental results
• Collaborate with lab members on computational experiments

MINIMUM QUALIFICATIONS:

• Applicants must be students in good standing, currently enrolled in high school or an undergraduate program.
• Have completed introductory biology.
• Be interested in learning more about computational biology and related careers.

PREFERRED QUALIFICATIONS:

• Applicants should have experience in Python programming, an understanding of PyTorch or other deep learning frameworks, and an interest in applying computational methods to biological problems.

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The hourly pay range for this position is from $20.76 to $29.54 and pay offered will be based on experience and qualifications.

 

Fred Hutchinson Cancer Center offers employees access to a retirement savings plan, an employee assistance program, paid sick leave (1 hour for every 30 hours worked), and prorated paid holidays (up to 11 days per year).

We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.