Bioinformatics Intern Trainee

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 Grady Lab at Fred Hutch is seeking a highly motivated Bioinformatics Trainee to contribute to our ongoing studies on mapping the colorectal cancer progression sequence using the multi-omic approach. This role provides an excellent opportunity to gain hands-on research experience in translational cancer biology, bioinformatics, and epigenetics.

Communicate with researchers and identify appropriate bioinformatics tools to meet the needs of proposed research projects.
• Perform bioinformatics analysis on datasets.
• Conduct statistical analysis and generate visualizations to summarize findings.
• Document research methods, maintain accurate records, and contribute to data interpretation.
• Collaborate with faculty mentors and team members to develop research questions and analytical approaches.
• Provide support to Fred Hutch statisticians, bioinformaticians, and computational biologists.
• Participate in lab meetings, journal clubs, and research discussions.
• Provide figures & written sections describing methods and results for manuscripts, presentations, and grant applications generated by Fred Hutch researchers
• Assist in preparing scientific presentations, reports, and potential publications.

NOTE: The role is only open for applicants from a Bioinformatics/Genomic Program from an accredited University. Applicants must also provide a letter from the University validating enrollment in the program as part of the application process.

MINIMUM QUALIFICATIONS:

• Bachelor's degree in computer science, bioinformatics, biology, genetics, computational biology, statistics or related discipline.
• Experience with data analysis in R, Python, or another relevant programming language.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work independently while collaborating effectively within a research team.
• Excellent verbal and written communication skills.
• Self-motivated, perform in a highly independent manner, and possess strong interest in the biological sciences.

The hourly pay range for this position is from $31.26 to $44.51 and pay offered will be based on experience and qualifications.

Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.

Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).