Bioinformatics Engineer

About the job

About NonStop: NonStop is a software services company at the intersection of bioinformatics, genomics, and healthcare technology. We partner with biotech firms, pharma organizations, genomics labs, and clinical institutions to design and deliver production-grade bioinformatics software, AI-powered analytical platforms, and end-to-end genomic data pipelines. We work on problems that matter: from ... accelerating variant interpretation workflows and building HIPAA-compliant AI platforms, to orchestrating large-scale multi-omics pipelines for disease diagnostics and pharmacogenomics. Our team blends deep domain expertise with engineering rigor, and we're growing to meet the increasing demand from the life sciences industry for smart, scalable, and compliant bioinformatics solutions. We work this way: • We dig deep into biological problems, not just the code. Domain knowledge is valued as much as engineering craft. • Bioinformatics is a team sport. You'll work alongside software engineers, clinicians, and research scientists. • You own your work end-to-end, from design to delivery. We trust you to make good decisions and learn fast. • Life sciences move fast. We encourage continuous learning, conference participation, and staying ahead of the field. Your role: As a Bioinformatics Engineer at NonStop, you will be a key contributor in designing, building, and maintaining bioinformatics software solutions and analytical pipelines for our clients across genomics, clinical diagnostics, and precision medicine. You'll bring both biological insight and engineering excellence to every project, collaborating with product, engineering, and scientific teams to deliver solutions that are scalable, reproducible, and compliant. You’ll be responsible for: • Build scalable bioinformatics applications and pipelines for efficient processing of genomic, transcriptomic, and multi-omics data. • Produce high-quality, detailed documentation for all projects, pipelines, tools, APIs, and analytical methods. • Provide technical consultation and solutions across cross-functional bioinformatics projects. • Coach and mentor team members through knowledge sharing, code reviews, and pairing on domain-specific challenges. • Ensure compliance with our SDLC process throughout the product development lifecycle. • Stay current with evolving bioinformatics technologies and evangelize technical excellence within the team. We’re looking for: • Minimum 2 to 3 years of experience in designing, developing, and maintaining bioinformatics solutions. • Master's degree in Bioinformatics, Computational Biology, or a closely related technical discipline. • Strong understanding of genomic data analysis, variant calling, targeted sequencing, whole-exome (WES), and whole-genome sequencing (WGS) workflows. • Hands-on experience with RNA-seq analysis, including differential expression and transcriptomic workflows. • Proficiency in variant interpretation and ACMG/AMP classification workflows is a plus. • Knowledge of algorithms and computational model development applied to biological data. • Strong foundation in statistics and data analysis as applied to genomics and bioinformatics. • Experience developing and debugging bioinformatics pipelines using Nextflow, Snakemake, WDL, or CWL. • Proficiency in shell scripting and Linux/Unix environments for NGS data analysis. • Familiarity with workflow automation and best practices in reproducible pipeline design. • Excellent programming skills in Python (primary); familiarity with R or Java is a plus. • Proficiency with standard bioinformatics tools (GATK, DeepVariant, VEP, ANNOVAR, MultiQC, FastQC, etc.). • Experience with relational databases (PostgreSQL, MySQL, or Oracle) and NoSQL databases (MongoDB). • Confident use of Git and GitHub for version control and collaborative development. • Experience with cloud computing platforms (AWS or GCP, or Azure) for bioinformatics workloads. • Familiarity with high-performance computing (HPC) environments is a plus. Why join NonStop: • Work on real-world genomics and clinical bioinformatics problems that directly impact patient care and scientific discovery. • Collaborate with life sciences clients at the cutting edge, from rare disease diagnostics to AI-assisted bioinformatics platforms.