Bioinformatics Analyst III

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