At GeneDx, we believe that everyone deserves personalized, targeted medical care—and that it all begins with a genetic diagnosis. Fueled by one of the world’s largest rare disease data sets, our industry-leading exome and genome tests translate complex genomic data into clinical answers that unlock personalized health plans, accelerate drug discovery, and improve health system efficiencies. It all starts with a single test.
genetic testing • rare genetic disorders • molecular diagnostics • whole genome sequencing • next generation sequencing
1001 - 5000 employees
March 14
At GeneDx, we believe that everyone deserves personalized, targeted medical care—and that it all begins with a genetic diagnosis. Fueled by one of the world’s largest rare disease data sets, our industry-leading exome and genome tests translate complex genomic data into clinical answers that unlock personalized health plans, accelerate drug discovery, and improve health system efficiencies. It all starts with a single test.
genetic testing • rare genetic disorders • molecular diagnostics • whole genome sequencing • next generation sequencing
1001 - 5000 employees
• GeneDx, the world’s leading genomics diagnostics company, is seeking a Software Engineer/Bioinformatician for our Bioinformatics Platform team. • As a Software Engineer, you will work with other engineers and bioinformaticians in our team to deliver faster, cheaper, more reliable, more scalable, and more accurate bioinformatics software into our production diagnostics platform. • You will contribute to technical design and implementation efforts to improve our bioinformatics workflow and bioinformatics algorithms; executing using the best practices and principles of modern software engineering. • You will contribute to analytical validation efforts in support of new pipeline development and existing pipeline improvements. • When working with non-technical team members, you’ll understand their root cause needs and be able to propose novel technical solutions. • Additionally, you will collaborate with and support other data scientists and software engineers in their code development and assist in establishing best practices within the team. • As a software engineer, you own strategic deliverables of the team and are comfortable executing independently. • Your breadth of engineering and bioinformatics knowledge will allow you to make and review plans for projects that may include other engineering specialties (e.g. devops). • You will be empowered and trusted to make decisions where mistakes could lead to serious delay or cancelation of an initiative. • You will be expected to find resourceful and creative solutions to hard problems and support your teammates in doing the same.
• Proficiency in Python; comfortable with working in other similar languages • Experience building/consuming API calls/responses and ETL functions. • Experience with AWS services, Docker, Kubernetes, Helm, CI/CD, automated testing, and data logging suites/toolsets. • Good understanding of general software engineering patterns, best practices, and methods. • 3+ years professional experience (industry setting) designing and supporting robust applications using modern object-oriented frameworks. • Successful history of delivering scalable production software. • Able to drive execution of technical proposals as an individual contributor. • Excellent communication skills; ability to work collaboratively with other development teams. • Knowledge of bioinformatics pipeline scalability, observability, and cost efficiency. • Be able to coordinate and execute on efforts for small modifications to existing bioinformatics products. • Experience troubleshooting wet-lab and dry-lab issues. • Familiarity with variant calling algorithms: know how to use them, modify them, parameterize them, and interpret their output. • Strong understanding of bayesian statistics and ML in relation to common bioinformatics applications. • Prior experience working in a CAP/CLIA regulated setting. • Familiarity with samtools, gatk, picard, vcftools, bedtools. • Familiarity with bioinformatics workflow management tools and concepts. • PhD preferred.
• Paid Time Off (PTO) • Health, Dental, Vision and Life insurance • 401k Retirement Savings Plan • Employee Discounts • Voluntary benefits
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