Bioinformatics Analyst I

About the Role

Fred Hutchinson Cancer Center is seeking a Bioinformatics Analyst I to join the Srivatsan Lab. This role involves analyzing and interpreting large-scale single-cell genomics data and spatial transcriptomics data generated from cell lines and patient samples. The position offers an excellent opportunity for candidates with a background in biology and experience in computer science or statistics, with an enthusiasm for applying sophisticated algorithms to next-generation sequencing data. The analyst will work under the direct supervision of Dr. Sanjay Srivatsan.

Key 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 data and explain results in research discussions with experimental collaborators.
• Develop tools and interfaces for visualization and interaction with data.
• Develop new methods and tools for single-cell data analysis.
• Work collaboratively within the Srivatsan Lab and with Hutch and external collaborators.
• Show respect to all members of the lab and the broader Hutch community.

Requirements & Tech Stack

• Proficiency in, at least, one modern scripting or programming language: Python, R.
• Experience in a high-performance computing environment.
• Experience in using source code management (e.g., Git, GitHub).

Qualifications

• BS degree in Statistics, Biostatistics, Bioinformatics, or equivalent education.
• 0-2 years of work experience with bioinformatics in the relevant scientific domain.
• Preferred: Master’s degree in Biology or Computational Biology with coursework.
• Preferred: Experienced in high throughput sequencing data.
• Preferred: Ability to learn new tools and content quickly and independently.
• Preferred: Strong communication skills.
• Preferred: Experience in analysis of single-cell genomics data.
• Preferred: Working knowledge of machine learning.