Junior Immunology Data Scientist

Benaroya Research Institute at Virginia Mason; Seattle (WA); On-site; USD 79,000 - 122,000; Full time

Benefits offered by this job

Medical insurance

Flexible spending accounts

Short and long-term disability

Life and AD&D insurance

403(b) retirement plan

PTO and holidays

Educational assistance program

Subsidized ORCA pass

Wellness benefits

Voluntary benefits

Job summary

Benaroya Research Institute at Virginia Mason in Seattle seeks an outstanding data scientist to join our collaborative bioinformatics group. You will work with genomic, cellular, and clinical data, applying statistical and machine learning approaches to derive insights into immune system function.

The role emphasizes cross-disciplinary collaboration with bench scientists and clinical researchers, using modern AI-assisted tools and rigorous analyses from study design to interpretation.

Qualifications

• Strong analytical skills and ability to work with complex data.
• Proficiency in modern data science languages (e.g., R/Python/SAS/Matlab/Scala/Java/C++).
• Experience with machine learning methods (clustering/classification/dimensionality reduction).
• Background in immunology or bioinformatics preferred.

Responsibilities

• Develop data science approaches at the intersection of data collection, integration, and analysis.
• Work with genomic, cellular, and clinical data types and apply statistical rigor.
• Collaborate with bench scientists and clinical researchers to generate insights.

Skills

Analytical skills

Programming languages

ML methods

Communication

Time management

Teamwork

Education

Degree in bioinformatics or biostatistics

Job description

Benaroya Research Institute at Virginia Mason in Seattle seeks an outstanding data scientist to join our collaborative bioinformatics group. You will work with genomic, cellular, and clinical data, applying statistical and machine learning approaches to derive insights into immune system function.

The role emphasizes cross-disciplinary collaboration with bench scientists and clinical researchers, using modern AI-assisted tools and rigorous analyses from study design to interpretation.