Bioinformatics Analyst: Single-Cell & Spatial Analytics

Fred Hutchinson Cancer Center (Fred Hutch); Seattle (WA); Hybrid; USD 80,172 - 104,250; Full time

Benefits offered by this job

Comprehensive health benefits

Paid vacation (12-22 days per year)

Tuition reimbursement

Paid parental leave (up to 4 weeks)

Job summary

Fred Hutchinson Cancer Center (Fred Hutch) in Seattle is seeking a Bioinformatics Analyst I/II. This role supports innovative analytic projects related to cancer immunotherapy, utilizing cutting-edge data techniques.

The ideal candidate will collaborate with researchers in a dynamic environment, analyze large sequence datasets, and employ machine learning techniques. Candidates should possess programming skills, especially in R and Python, and a related degree.

The position offers a comprehensive benefits package, including medical, flexible spending accounts, and paid leave.

Qualifications

• 0-2 years of work experience with bioinformatics in a relevant scientific domain.
• Effective use of shell scripting and significant fluency in R and Python 3.
• Ability to learn new tools quickly and independently.

Responsibilities

• Analyze large sequence datasets from diverse workflows.
• Perform quality control and end-to-end analysis of large sequence datasets.
• Identify best-practice bioinformatics tools and strategies to meet project needs.

Skills

Proficiency in Python

Proficiency in R

Experience with RNA-seq analysis

Data visualization skills

Bioinformatics tools knowledge

Education

Bachelor's degree in Statistics, Biostatistics, Bioinformatics or equivalent

MS degree in Computational Biology or related field (preferred)

Tools

Bioconductor packages

ggplot

tidyverse

NextFlow (preferred)

Job description

Fred Hutchinson Cancer Center (Fred Hutch) in Seattle is seeking a Bioinformatics Analyst I/II. This role supports innovative analytic projects related to cancer immunotherapy, utilizing cutting-edge data techniques.

The ideal candidate will collaborate with researchers in a dynamic environment, analyze large sequence datasets, and employ machine learning techniques. Candidates should possess programming skills, especially in R and Python, and a related degree.

The position offers a comprehensive benefits package, including medical, flexible spending accounts, and paid leave.