Undergraduate Research Assistant - Temporary
About The Position
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 lab of Dr. Phil Bradley in the Computational Biology program at Fred Hutch is seeking a highly motivated Undergraduate Research Assistant in computational immunology. Applicants should have experience in C++ and Python programming, machine learning, neural networks, and setting up and running bioinformatics pipelines. Applicants should submit a CV or resume and brief statement of research interests.
Requirements
- Current enrollment in an undergraduate science program with an interest in a future career in science, healthcare, or a healthcare related field.
- Individuals with diverse backgrounds are encouraged to apply.
- Must have completed coursework in introductory biology and fundamentals of data science.
- Must have research experiences, outside of coursework, with bioinformatics and machine learning applications.
- Experience in C++ and Python programming
- Experience with machine learning
- Experience with neural networks
- Experience setting up and running bioinformatics pipelines
Nice To Haves
- Have completed at least two years of undergraduate program.
Responsibilities
- Supports ongoing computational biology research through activities such as bioinformatics analyses, machine learning applications, software development, and maintenance of computational pipelines.
Benefits
- retirement savings plan
- employee assistance program
- paid sick leave (1 hour for every 30 hours worked)
- prorated paid holidays (up to 11 days per year)
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What This Job Offers
Career Level
Entry Level
Education Level
No Education Listed
