Associate Data Analyst - Bioinformatics Operations
Position Title: Associate Data Analyst - Bioinformatics Operations
Classification: Exempt
Reports to: Sr. Director of Data Engineering & Bioinformatics
Primary Objective: The Associate Data Analyst - Bioinformatics Operations supports day-to-day data operations across Champion Oncology's bioinformatics and data engineering workflows.
DUTIES, RESPONSIBILITIES AND PRODUCTIVITY EXPECTATIONS:
• 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.
KNOWLEDGE, SKILLS, AND ABILITIES:
• 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.
EDUCATION AND EXPERIENCE:
• Bachelor’s degree in Data Science, Bioinformatics, Computational Biology, Computer Science, or a related field, or equivalent practical experience.
• 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.
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
• Must be able to sit for long periods of time using a computer in a typical office environment in a multi-level facility or home office.
This description reflects management’s assignment of essential functions, it does not proscribe or restrict the tasks that may be assigned. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Apply tot his job
Apply To this Job
Classification: Exempt
Reports to: Sr. Director of Data Engineering & Bioinformatics
Primary Objective: The Associate Data Analyst - Bioinformatics Operations supports day-to-day data operations across Champion Oncology's bioinformatics and data engineering workflows.
DUTIES, RESPONSIBILITIES AND PRODUCTIVITY EXPECTATIONS:
• 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.
KNOWLEDGE, SKILLS, AND ABILITIES:
• 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.
EDUCATION AND EXPERIENCE:
• Bachelor’s degree in Data Science, Bioinformatics, Computational Biology, Computer Science, or a related field, or equivalent practical experience.
• 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.
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
• Must be able to sit for long periods of time using a computer in a typical office environment in a multi-level facility or home office.
This description reflects management’s assignment of essential functions, it does not proscribe or restrict the tasks that may be assigned. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Apply tot his job
Apply To this Job