Junior Bioinformatics Analyst - Single-Cell Genomics

Fred Hutchinson Cancer Center (Fred Hutch); Seattle (WA); On-site; USD 47,000 - 71,000; Full time

Benefits offered by this job

Medical and vision insurance

Dental insurance

Tuition reimbursement

Paid vacation and sick leave

Onsite health clinic

Job summary

Fred Hutchinson Cancer Center in Seattle is seeking a Bioinformatics Analyst I to analyze large-scale single-cell and spatial genomics data under the Srivatsan Lab. The role involves developing software, applying tools, and collaborating with bench scientists to interpret results.

The position offers training in cutting-edge computational methods, a supportive mentoring environment, and opportunities within the Basic Sciences Division. Competitive benefits and salary accompany the role.

Qualifications

• BS degree in Statistics, Biostatistics, Bioinformatics or equivalent education.
• 0-2 years of work experience with bioinformatics in the relevant scientific domain.
• Proficiency in, at least, one modern scripting or programming language (Python, R, etc).

Responsibilities

• Develop software for processing raw sequencing data from new single cell methods.
• Implement, apply and evaluate tools to process, integrate, batch-correct and visualize single-cell genomics data.
• Interpret the data and explain the results in research discussions with experimental collaborators.
• Develop tools and interfaces for visualization and interaction with the data.
• Develop new methods and tools for single-cell data analysis.

Skills

Python

R

Bioinformatics

Single-cell genomics

Education

BS in Statistics / Biostatistics / Bioinformatics

Tools

Git

GitHub

Job description

Fred Hutchinson Cancer Center in Seattle is seeking a Bioinformatics Analyst I to analyze large-scale single-cell and spatial genomics data under the Srivatsan Lab. The role involves developing software, applying tools, and collaborating with bench scientists to interpret results.

The position offers training in cutting-edge computational methods, a supportive mentoring environment, and opportunities within the Basic Sciences Division. Competitive benefits and salary accompany the role.