Bioinformatics Analyst I

Job ID
Regular Full-Time
Laboratory Research Sciences


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. These values are grounded in and expressed through the principles of diversity, equity and inclusion. 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. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion.



The Talbot lab, within the Basic Science Division at Fred Hutchinson Cancer Center, is recruiting for a highly motivated and curious bioinformatics analyst. 

The Talbot lab studies the gut-brain axis, and how gut neurons sense diet and microbes, regulating immunity, metabolism, and nutrition. For that, we use mouse models, intravital imaging, calcium reporters, molecular immunology, viral-assisted neural circuit tracing, optogenetics and chemogenetics, CRISPR-Cas9 genetic alterations, single-cell genomics, and diet engineering. One objective of our studies is to develop dietary strategies that use the modulation of gut neurons to combat gastrointestinal-associated diseases, including inflammatory bowel disease, irritable bowel syndrome, gut infections, malabsorption conditions, and metabolic disturbances. This research offers the opportunity to study the intersection of different areas including neurobiology, immunology, host-microbiota interactions, nutrition, and gastroenterology. More information:


We are seeking a Bioinformatics Analyst to analyze and interpret genomics data and multiparametric flow cytometry data, that is being generated from genetic and immune perturbations in animal models in our lab. This is an excellent opportunity for a candidate with a background in biology and experience in computer science or statistics, and enthusiastic about learning how to apply sophisticated algorithms to analyze genomics and multiparametric datasets. The analyst will work under the direct supervision of Dr. Talbot, and in collaboration with Computational Biology groups at Fred Hutch, who have extensive experience in data analysis and modeling of single-cell genomics and metabolomics.


  • Implement, apply and evaluate tools to process, integrate, batch-correct and visualize genomics datasets (single-cell RNAseq, RNA-seq, ATAC-seq), metabolomics datasets, multiparametric flow cytometry data, and imaging analysis.
  • Interpret the data and explain the results in research discussions with experimental collaborators



  • Applicants must have at least a Bachelor’s degree in one of these disciplines: Computational biology, bioinformatics, computer science, data science, statistics, biostatistics, biomedical engineering, computer/electrical engineering, physics, or other related fields
  • Strong programming experience (R, Python, Matlab, Java, C/C++, Perl or other languages for research).
  • Experience in working with high throughput sequencing data.
  • Proficiency in modern programming languages such as Python, R, or Matlab
  • Ability to learn new tools and content quickly and independently (although training will be giving by our collaborators for specific types of analysis performed in the lab)
  • Strong communication skill


  • Experience in the analysis of single-cell genomics data
  • Experience in working with high-performance computing environment
  • Experience in using source code management (e.g.: Git, GitHub).

Fred Hutchinson Cancer Center has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations. As a condition of employment, newly hired employees must, prior to their first day of employment:

Provide proof of being fully vaccinated against COVID-19 ; OR

Initiate the accommodations process to request a religious or medical accommodation (medical accommodations require a healthcare provider’s certification).


A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

Our Commitment to Diversity

We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. 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 are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and 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 our Employee Services Center at or by calling 206-667-4700.


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