Bioinformatics Analyst III

Bioinformatics Analyst III Fred Hutchinson Cancer Center -

Seattle, WA Posted:

4/13/2026 -

Expires:

6/13/2026

Job ID:

293061935 Job Description

JOB TITLE

Bioinformatics Analyst

III DUTIES

Perform specialized data analysis and build custom data pipelines for quality control and end-to-end analysis of large datasets from diverse workflows in support of cutting-edge laboratory research. Implement, apply, and evaluate tools to process, integrate, batch-correct and visualize genomics datasets (single-cell RNA-seq, Bulk RNA-seq, CITE-seq, BCR-seq and TCRseq), multiparametric flow cytometry datasets, multiplexed cytokine/protein datasets from clinical studies and publicly available datasets. Interpret the data and explain the results in research team meetings, scientific seminars and research discussions with experimental collaborators. Manage multiple data analysis projects and work collaboratively. Identify best-practice bioinformatics tools and strategies to meet the needs of proposed projects. Provide high-quality results, figures and written sections describing methods and results for manuscripts, publications, presentations, and grant applications. Ensure integrity and consistency of primary data, track experimental methods and metadata, and define standardized analysis pipelines. Develop analytical approaches to integrate multimodal data and interpret results to derive biological insights. Coordinate the intake and preparation of new datasets as they become available for analysis. Produce high-quality analysis and data with minimal supervision and make independent decisions. Keep up to date on current bioinformatics, vaccine and immunology literature. Learn new tools and content quickly and independently, with training given for specific types of analysis performed in the lab.

REQUIRES

Master's degree in biology, biotechnology, bioengineering, computer science, or a related field, or the foreign degree equivalent, and one (1) year of experience in each of the following: Performing specialized data analysis and building custom data pipelines in a biotechnology research setting. Programming in R, including for sequence-based molecular assay analyses. Programming in Python 3. Linux shell scripting, including bash, echo, shellcheck and chmod. Performing end-to-end analysis of large human genomics datasets. Working with git version control system. Working with high-performance-computing clusters. With genomic tools including STAR, RSEM, kallisto, FastQC, samtools, and IGV. Analyzing human immune cell sequencing datasets. Working independently and as part of a team in a research environment. Training other members of staff on computational pipeline tools. Utilizing strong organizational skills, including managing and prioritizing multiple competing tasks. Presenting technical information to technical and non-technical audiences. Experience may be gained concurrently.

SALARY:

The annual base salary range for this position is from $97,822.40 to $146,681.60 and the pay offered will be based on experience and qualifications. 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), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months).

LOCATION

 40 hours/week at Fred Hutchinson Cancer Center in Seattle, Washington.

APPLY:

employment@fredhutch.org Job Summary Company Details Company Fred Hutchinson Cancer Center Industry Specialty (except Psychiatric and Substance Abuse) Hospitals Job Information Location Seattle, WA Website https://www.fredhutch.org/ Job Type Full Time Employee Education Level Master's degree Job Position 1 Position(s) Open Duration Over 150 Days Additional Information Federal Contractor No Affirmative Action Plan No