Overview
The Bioinformatician II provides specialized consulting and data analysis services to researchers at the Fred Hutch and across the wider FredHutch/UW/SCRI Cancer Consortium. This position requires the ability to work independently, manage multiple overlapping data analysis projects, and communicate effectively with faculty, post-doctoral fellows, and research staff on a wide range of topics in biology, analysis of next-generation sequencing data, sound experimental design, and data science.
Responsibilities
The Bioinformatician II reports to the Director of the Bioinformatics Shared Resource and will work with Fred Hutch scientists to refine computational research questions, develop analytical processes applied to large genomic datasets, and provide timely results and documentation for processes used.
In this role, the Bioinformatician will:
- Perform quality control and end-to-end analysis of large sequence datasets from diverse workflows
- Consult with researchers to refine research questions and to develop sound experimental designs
- Identify best-practice bioinformatics tools and strategies to meet the needs of proposed projects
- Provide figures and written sections describing methods and results for manuscripts, presentations, and grant applications
- Partner with researchers who are developing novel assays to design appropriate processing and analysis workflows
- Collaborate with colleagues in the Genomics Shared Resource and the Hutch Data Core to ensure the integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines, and provide training and support as users analyze and interpret results
Qualifications
Required:
- MS or PhD in bioinformatics, computational biology, genetics, or related fields
- At least three years professional experience with computational analysis of complex sequence-based data sets, including some of these assays: whole exome sequencing; targeted amplicon sequencing; somatic variant calling; bulk RNA-seq expression; single-cell expression and immune repertoire profiling; CUT&RU;; ChIP-seq; ATAC-seq; or CRISPR/Cas9 knockout screens
- Demonstrated fluency in R or Python 3, ideally both
- Proficiency with Linux/Unix shell scripting (e.g., bash)
- Strong organizational skills, including the ability to manage and prioritize multiple competing tasks
- Excellent written and verbal communication skills
