Bioinformatics Intern Trainee

About the Role

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

Key Responsibilities

• 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.

Requirements & Tech Stack

• R, Python, or another relevant programming language for data analysis.
• Bioinformatics, Genomics, Computer Science, Biology, Genetics, Computational Biology, or Statistics related discipline.

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.
• Applicants must be from a Bioinformatics/Genomic Program from an accredited University.
• Applicants must provide a letter from the University validating enrollment in the program as part of the application process.