Translational Data Scientist - Genomics & AI

Fred Hutchinson Cancer Research Center; Seattle (WA); On-site; USD 126,984 - 200,678; Full time

Benefits offered by this job

Comprehensive benefits package

Tuition reimbursement

Flexible spending accounts

Job summary

Fred Hutchinson Cancer Research Center is seeking a Translational Data Scientist III in Seattle, WA. The role involves developing and analyzing multimodal datasets, using advanced data engineering practices to support cancer research. You will work with various research teams, applying machine learning algorithms and ensuring compliance with data security protocols.

Qualifications include a Master's or Ph.D. in a relevant field, technical proficiency in programming, and experience in clinical or genomic data analysis. This position offers a comprehensive benefits package and opportunities for collaboration across research initiatives.

Qualifications

• Master’s or PhD required, with 2+ years of related experience.
• Core competency in genomics, natural language processing, or image processing.
• Proficiency in R or Python.

Responsibilities

• Integrate data sources from clinical, genomic, and imaging for analysis.
• Develop machine learning algorithms for cancer research.
• Manage projects while ensuring data security and compliance.

Skills

Genomics

Machine learning

Statistical analysis

Data visualization

Programming in R or Python

Education

Master’s or PhD in Bioinformatics, Statistics, Computer Science, or related field

Tools

RMarkdown

Unix/Linux

Docker

Git

Job description

Fred Hutchinson Cancer Research Center is seeking a Translational Data Scientist III in Seattle, WA. The role involves developing and analyzing multimodal datasets, using advanced data engineering practices to support cancer research. You will work with various research teams, applying machine learning algorithms and ensuring compliance with data security protocols.

Qualifications include a Master's or Ph.D. in a relevant field, technical proficiency in programming, and experience in clinical or genomic data analysis. This position offers a comprehensive benefits package and opportunities for collaboration across research initiatives.