Bioinformatician, Operational Support

Responsibilities

• Monitor production NGS pipelines on a daily basis to ensure successful execution and data integrity
• Identify, triage, and resolve pipeline failures, data quality issues, and workflow bottlenecks in a timely manner
• Collaborate with wet-lab scientists to diagnose sequencing and data processing issues and escalate as needed
• Track pipeline performance metrics and generate routine status reports for laboratory and quality teams
• Support onboarding and validation of new sample types, assays, or sequencing instruments into existing pipelines
• Operate within the quality management framework of a CAP/CLIA/NY State-accredited laboratory
• Maintain thorough documentation of pipeline activities, changes, and incident reports in accordance with regulatory requirements
• Aid in the development and review of standard operating procedures (SOPs) related to bioinformatics workflows
• Participate in internal audits, proficiency testing, and quality review activities as requested
• Contribute to pipeline development and optimization projects under the guidance of senior bioinformaticians
• Write and maintain scripts in Python and/or R to automate data processing, QC, and reporting tasks

Qualifications

• Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a closely related field — or an equivalent combination of education and relevant professional experience
• At least 2 years of hands-on experience with NGS data analysis workflows (academic research, internship, or industry); advanced degree may substitute for experience
• Working proficiency in Python and/or R for data manipulation, scripting, and analysis
• Familiarity with common NGS file formats (FASTQ, BAM, VCF) and bioinformatics tools (e.g., BWA, GATK, samtools, or equivalent)
• Strong troubleshooting and problem-solving skills with a systematic, documentation-driven approach
• Excellent written and verbal communication skills; ability to collaborate effectively with both scientific and non-scientific colleagues
• Experience working in or supporting a CAP-, CLIA-, and/or NY State-regulated clinical or diagnostic laboratory
• Familiarity with quality management systems (QMS), SOPs, or laboratory compliance documentation
• Exposure to workflow management systems such as Nextflow, Snakemake, or WDL/Cromwell
• Knowledge of clinical genomics applications (oncology, rare disease, pharmacogenomics, etc.)