Sr. Bioinformatics Engineer at DNAnexus

Prague, Prague, Czechia -

Full Time

Start Date

Immediate

Expiry Date

10 Aug, 26

Salary

0.0

Posted On

12 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Bioinformatics, Software Engineering, Data Processing, Genomics, Multiomics, Python, Clinical Genomics, Collaboration, Communication, Data Analysis, Quality Control, Cohort Construction, EHR Integration, Product Engineering, AI, Cloud Computing

Industry

Biotechnology Research

Description

Company Description Founded in 2009, DNAnexus is the enterprise orchestration platform for precision health. A pioneer in cloud-based omics and purpose-built bioinformatics for life sciences, DNAnexus helps customers contextualize, orchestrate, and federate multiomic and real-world data to derive actionable insights and accelerate the journey from sequence to scientific breakthrough. DNAnexus accomplishes this through its compliance-first, AI-enabled platform, equipped to handle extreme scale and complex data processing for genomics, multiomics, and beyond. For more information, visit www.dnanexus.com. Job Description Our high-performance genomic analytics platform is designed to bridge the gap between massive-scale raw sequencing and actionable biological insight. The system simplifies genomic data workflows by providing a scalable platform and pipelines to work with genomic data of petabyte-scale cohorts. The project is written by multidisciplinary teams with bioinformaticians who understand the domain and software engineers with a product engineering mindset. Who We’re Looking For We are seeking a highly autonomous and preferably product-minded Senior Bioinformatics Engineer. This critical role requires deep knowledge of bioinformatics, experience with software engineering, and a willingness to collaborate closely with engineers to explain complex biological concepts and collaboratively design robust solutions. We're looking for a proactive person who is able to collaborate on product engineering initiatives inside a cross-functional team. A strong background in bioinformatics, computational biology, or a related scientific field. Candidates who can help us nurture this knowledge within the team. Extensive experience with large-scale data processing and analysis pipelines (e.g., WES, WGS, RNA-Seq, Proteomics). Proficiency with relevant bioinformatics tools and databases, and their possible integration into Agentic Pipelines. Familiarity with clinical genomics and integration with Electronic Health Record (EHR) systems is a benefit. Responsibilities Design and develop distributed data models, storage schemas, and query engines optimized for genomic and multi-omic data at scale on the DNAnexus Platform. Build scalable, production-grade framework components for the DNAnexus Platform to support genomic and multi-omic analytical workflows. Share bioinformatics knowledge within the team of engineers for the purpose of building a product together within a team. Stay current with the latest advancements in bioinformatics data management and analytics to drive platform innovation. Qualifications 5+ years of professional experience in software development in Python, in a bioinformatics or life science context. Experience performing large-scale genomic association, burden, and polygenic analyses (e.g., with REGENIE, SAIGE), including upstream data preparation, quality control, and cohort construction. Working knowledge of clinical genomics workflows, including EHR and FHIR-based genomic data exchange preferable. Excellent communication and collaboration skills to work effectively with cross-functional teams (scientists, product managers, engineers). Bioinformatics knowledge and ability to work with engineers to translate the research concepts into a newly developed solution. Additional Information Headquartered in Mountain View, California, with over 220 team members across the United States and Europe, DNAnexus is experiencing rapid growth and market adoption. With the support of leading investors including Google Ventures and Blackstone, and trusted by hundreds of the world's biomedical leaders, the company is at the innovative forefront with our precision health data cloud to drive scientific breakthroughs. If you are interested in joining our team, please apply today!

Responsibilities

Design and develop distributed data models and storage schemas optimized for genomic data. Build scalable framework components to support genomic analytical workflows on the DNAnexus Platform.