{"schemaVersion":"jobsearcher.job.v1","id":"7aa1e7af42398e25ca81bf67","url":"https://jobsearcher.com/jobs/7aa1e7af42398e25ca81bf67","canonicalUrl":"https://jobsearcher.com/jobs/7aa1e7af42398e25ca81bf67","title":"Senior Software Engineer, Bioinformatics (Rust & Python)","description":"Remote\nFull Time\nAbout Variantyx:\n\nJoin our rapidly growing, engineering-driven organization and help build the software that powers the future of whole-genome diagnostics. Backed by leading life sciences investors, we have achieved industry-leading diagnostic yield and unit economics through a vertically integrated software stack that spans from sample to report. At the core of our success is a proprietary clinical platform that uniquely enables our workflows, allowing us to solve complex biological data challenges at scale. With a strong global presence across our internal teams and external partnerships, we offer the stability of a well-funded industry leader combined with the agility of a high-growth tech company.\n\nAbout the Position:\n\nWe are looking for an experienced, production-focused Senior Software Engineer to lead the architectural evolution of our core germline clinical bioinformatics pipeline.\n\nOur production pipeline is a large-scale, high-throughput system. We continue to push the frontier of diagnostic capabilities while heavily scaling our operations. As part of a lean, high-caliber engineering team, you will take ownership of complex technical challenges, delivering clean, rigorously tested, and heavily optimized code.\n\nThis is strictly a production software engineering role, not an academic research, data science, or scripting position. We are specifically looking for highly technical engineers with a strong Computer Science background who build robust, high-performance systems. If your primary experience is writing R or Python scripts for data analysis or academic research, this role will not be a fit.\n\nWhat You Will Do:\nHigh-Performance Engineering: Identify bottlenecks and rewrite/optimize core primary, secondary, and tertiary bioinformatics pipelines utilizing Rust for maximum performance and memory safety.\nSystems Integration: Seamlessly bridge high-performance Rust modules with our existing Python infrastructure using tools like PyO3 and Maturin.\nDatabase Architecture: Design, implement, and scale complex database schemas (MongoDB and RDBMS) to manage massive, high-throughput genomic datasets efficiently.\nClinical-Grade Feature Development: Design, develop, validate, and deploy cutting-edge algorithms for variant detection and scoring on our high-performance CPU and GPU compute clusters.\nProduction Quality Assurance: Enforce strict software quality standards, SDLC best practices, and automated testing to ensure our clinical results are perfectly accurate and reproducible in a highly regulated environment.\nRequired Qualifications:\nEducation & Experience: Master’s or Bachelor’s degree in Computer Science, Software Engineering, or a closely related technical field, backed by 5+ years of dedicated industry experience in production software engineering.\nRust & Python Expertise: You are an expert in both Rust and Python. You understand Python internals, packaging, and design patterns, and you are highly proficient in writing memory-safe, concurrent Rust code (including Python extensions).\nDatabase Architecture: Strong background in database design, data modeling, and performance tuning. You have deep experience with MongoDB, relational databases (RDBMS), normalized schemas, and complex data migrations.\nProduction Engineering Rigor: You do not write “scripts”; you build systems. You have deep expertise in the Software Development Lifecycle (SDLC), testing frameworks, mocking strategies, and writing modular, deployable code.\nBioinformatics Domain Knowledge: Strong production experience working with standard genomic file formats (FASTQ / BAM / CRAM / VCF), variant calling algorithms, and high-throughput sequencing platforms (short- and long-read).\nLinux/Bash Mastery: You are highly comfortable debugging complex systems interactions in a Linux environment and writing robust shell automation.\nPreferred Qualifications:\nAdvanced Degree: PhD in Computer Science, Software Engineering, or closely related field.\nTypescript: Experience writing Typescript to interface with our MongoDB data layer and execute workflows.","company":"Variantyx","rawCompany":"variantyx","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-10-30T10:03:35.968Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"19-1029.01","title":"Bioinformatics Scientists","slug":"bioinformatics-scientists"},{"code":"15-2099.01","title":"Bioinformatics Technicians","slug":"bioinformatics-technicians"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Bioinformatics (Rust & Python)","description":"Remote\nFull Time\nAbout Variantyx:\n\nJoin our rapidly growing, engineering-driven organization and help build the software that powers the future of whole-genome diagnostics. Backed by leading life sciences investors, we have achieved industry-leading diagnostic yield and unit economics through a vertically integrated software stack that spans from sample to report. At the core of our success is a proprietary clinical platform that uniquely enables our workflows, allowing us to solve complex biological data challenges at scale. With a strong global presence across our internal teams and external partnerships, we offer the stability of a well-funded industry leader combined with the agility of a high-growth tech company.\n\nAbout the Position:\n\nWe are looking for an experienced, production-focused Senior Software Engineer to lead the architectural evolution of our core germline clinical bioinformatics pipeline.\n\nOur production pipeline is a large-scale, high-throughput system. We continue to push the frontier of diagnostic capabilities while heavily scaling our operations. As part of a lean, high-caliber engineering team, you will take ownership of complex technical challenges, delivering clean, rigorously tested, and heavily optimized code.\n\nThis is strictly a production software engineering role, not an academic research, data science, or scripting position. We are specifically looking for highly technical engineers with a strong Computer Science background who build robust, high-performance systems. If your primary experience is writing R or Python scripts for data analysis or academic research, this role will not be a fit.\n\nWhat You Will Do:\nHigh-Performance Engineering: Identify bottlenecks and rewrite/optimize core primary, secondary, and tertiary bioinformatics pipelines utilizing Rust for maximum performance and memory safety.\nSystems Integration: Seamlessly bridge high-performance Rust modules with our existing Python infrastructure using tools like PyO3 and Maturin.\nDatabase Architecture: Design, implement, and scale complex database schemas (MongoDB and RDBMS) to manage massive, high-throughput genomic datasets efficiently.\nClinical-Grade Feature Development: Design, develop, validate, and deploy cutting-edge algorithms for variant detection and scoring on our high-performance CPU and GPU compute clusters.\nProduction Quality Assurance: Enforce strict software quality standards, SDLC best practices, and automated testing to ensure our clinical results are perfectly accurate and reproducible in a highly regulated environment.\nRequired Qualifications:\nEducation & Experience: Master’s or Bachelor’s degree in Computer Science, Software Engineering, or a closely related technical field, backed by 5+ years of dedicated industry experience in production software engineering.\nRust & Python Expertise: You are an expert in both Rust and Python. You understand Python internals, packaging, and design patterns, and you are highly proficient in writing memory-safe, concurrent Rust code (including Python extensions).\nDatabase Architecture: Strong background in database design, data modeling, and performance tuning. You have deep experience with MongoDB, relational databases (RDBMS), normalized schemas, and complex data migrations.\nProduction Engineering Rigor: You do not write “scripts”; you build systems. You have deep expertise in the Software Development Lifecycle (SDLC), testing frameworks, mocking strategies, and writing modular, deployable code.\nBioinformatics Domain Knowledge: Strong production experience working with standard genomic file formats (FASTQ / BAM / CRAM / VCF), variant calling algorithms, and high-throughput sequencing platforms (short- and long-read).\nLinux/Bash Mastery: You are highly comfortable debugging complex systems interactions in a Linux environment and writing robust shell automation.\nPreferred Qualifications:\nAdvanced Degree: PhD in Computer Science, Software Engineering, or closely related field.\nTypescript: Experience writing Typescript to interface with our MongoDB data layer and execute workflows.","datePosted":"2026-10-30T10:03:35.968Z","dateModified":"2026-10-30T10:03:35.968Z","hiringOrganization":{"@type":"Organization","name":"Variantyx","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7aa1e7af42398e25ca81bf67"},"url":"https://jobsearcher.com/jobs/7aa1e7af42398e25ca81bf67"}}