Senior Bioinformatics Analyst

Summary

Join DNAstack, a company dedicated to advancing precision medicine through software solutions for biomedical data sharing and analysis. As a Senior Bioinformatics Analyst, you will be responsible for developing, optimizing, and maintaining high-performance genomic pipelines for research and clinical applications. You will collaborate with partners, design scalable pipelines using various tools and technologies, and communicate results to both technical and non-technical stakeholders. This role requires a Master's degree or PhD in a related field and 4+ years of experience in NGS pipeline development. You will be a key contributor to product development and strategy, staying current with advancements in genomics. DNAstack offers a flexible, remote-friendly work environment, competitive compensation, and the opportunity to contribute to open science initiatives.

Requirements

• Master’s degree or PhD in bioinformatics, computational biology, biostatistics, or a related field—or equivalent industry experience
• 4+ years of hands-on experience building and running NGS analysis pipelines
• Be fiercely self-motivated—you don’t wait for perfect specs, you ask good questions and get moving, taking ownership of complex problems and driving them to resolution
• Possess excellent troubleshooting skills—you’re the person others come to when things break
• Be versatile and adaptable—you’re comfortable wearing multiple hats, juggling priorities, and switching contexts or projects quickly without losing momentum
• Have strong programming and scripting skills (Python preferred; R, Java, or bash also valued)
• Have strong command-line experience
• Have experience with workflow languages like WDL, CWL, Nextflow, or Snakemake
• Have familiarity with cloud computing (GCP, AWS, or Azure) or HPC environments
• Have a strong grasp of genomics file formats and tools
• Have experience performing ETL tasks; experience interacting with databases
• Have strong interpersonal and communication skills—able to translate between technical and scientific worlds
• Have a strong understanding and experience investigating the genetics of disease
• Have strong exploratory data analysis and visualization skills for complex datasets, with a keen ability to translate observations into actionable recommendations

Responsibilities

• Collaborate with partners in academia and industry to develop pipelines that process and harmonize a wide variety of genomics datasets
• Design and build reproducible, scalable, and well-documented pipelines using WDL, Docker, and cloud-based infrastructure (e.g. GCP, AWS, Azure)
• Evaluate, compare, and validate analysis methods using best-in-class tools (e.g., GATK, bcftools, samtools, VEP, etc.)
• Build automations to support customers and internal teams in ingesting and processing data
• Support workflows handling a variety of -omics data types (e.g., WGS, WES, RNA-seq, methylation, tumour/normal, proteomics, etc.)
• Communicate complex bioinformatics results and methodologies clearly to technical and non-technical stakeholders
• Contribute scientific expertise to product development and strategy
• Stay current with new methods and standards in genomics and participate in open-source initiatives

Preferred Qualifications

• Experience with clinical genomics, ACMG variant interpretation, or diagnostic pipelines
• Statistical and visualization skills for exploring -omics datasets
• Familiarity with public datasets (e.g., gnomAD, TCGA, ENCODE) and FAIR data principles
• Experience working with biological databases or data integration projects
• Wet lab experience in genomics (e.g., sequencing library prep, assay design) is a bonus

Benefits

• Flexible hours and remote-friendly culture
• Competitive salary, benefits, and stock options
• Opportunity to contribute to open science and global data-sharing efforts