Associate Data Analyst - Bioinformatics Operations

Champions Oncology Inc. • Las Vegas, NV

3d • $80,000 - $95,000 • Remote

About The Position

The Associate Data Analyst - Bioinformatics Operations supports day-to-day data operations across Champion Oncology's bioinformatics and data engineering workflows.

Requirements

• Working familiarity with Linux command‑line environments.
• Experience with basic scripting (Python and/or Bash).
• Foundational understanding of analytical or biological data types, or strong demonstrated interest in bioinformatics workflows.
• Strong organizational skills and attention to detail when working with large datasets.
• Ability to follow established procedures while exercising judgment on when to escalate issues.
• Effective written and verbal communication skills in a collaborative, remote‑first environment.
• Bachelor’s degree in Data Science, Bioinformatics, Computational Biology, Computer Science, or a related field, or equivalent practical experience.

Nice To Haves

• Exposure to NGS or other omics data types (e.g., FASTQ, BAM, VCF) preferred.
• Experience running or supporting workflows using Nextflow or similar pipeline frameworks preferred.
• Introductory experience with cloud platforms (AWS preferred) is a plus.

Responsibilities

• Organize, track, and maintain structured biological and analytical datasets across shared storage and cloud environments.
• Execute and monitor secure data transfers between internal systems, cloud platforms (e.g., AWS), collaborators, and clients, validating data integrity and completeness.
• Run standardized bioinformatics pipelines (e.g., WES, RNA‑seq, proteomics) using established workflows and frameworks such as Nextflow.
• Monitor pipeline execution, review logs, identify common failure modes, and escalate issues as needed.
• Perform defined quality control checks on pipeline outputs and compile run summaries, QC metrics, and delivery checklists.
• Prepare organized output packages for downstream analysis or client delivery.
• Collaborate with bioinformaticians, DevOps engineers, and other Data Team members and contribute to documentation, runbooks, and SOPs supporting data and pipeline operations.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 101-250 employees