Duties: Participate in R&D projects across multiple sites for the design, development and validation of new sequencing products; Support the bioinformatics function within a product development team; Contribute to the design and development of a standardized automated testing infrastructure; Analyze, integrate, model and interpret experimental data; Develop, document, and maintain reusable programming code; Communicate and collaborate in cross-functional multi-site teams
Requirements: Masters/PhD in bioinformatics, computer science, data science, engineering, mathematics or equivalent; Strong programming skills and experience with at least one programming languages, such as Python, R, etc; Experience with data analysis and visualization of next-generation sequencing data and large datasets; Familiarity with common bioinformatics pipelines and data formats; Solid understanding of statistical and biological concepts

Duties: Analyse, integrate, model and interpret experimental data to drive the development of whole-transcriptome and whole-genome clinical tests for oncology in proof-of-concept studies; Contribute to the design and development of a standardized automated validation infrastructure for use within an ISO15189 medical testing laboratory; Develop, document, and maintain reusable bioinformatics analysis code; Work with large data sets to solve complex problems of analytical, computational, or integration-related topics; Support the participation to External Quality Assurance Schemes and inter-laboratory comparison activities; Communicate and collaborate in cross-functional multi-site teams
Requirements: Masters, Ph.D. or equivalent in Bioinformatics, Computational Biology or related field; Proficient in bioinformatic and analysis tools and packages, especially for Next Generation Sequencing (NGS) data; Experience in cancer genomics is preferred; Experience in working in an ISO-accredited laboratory is preferred; Proficient in either R or Python, comfortable with shell scripting and HPC, familiarity with git

Duties: Lead the development of novel deep learning for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records, protein structures, and genomic data; Lead scientific collaborations with Illumina’s academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims; Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics community
Requirements: MD or PhD in computer science, genetics, computational biology, or related field; Expert in deep learning, statistics, proteinomics and/or genomics; Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences; Be willing to work in a fast paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines

Duties: Lead the development of novel algorithms for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records and genomic data; Lead scientific collaborations with Illumina’s academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims; Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics' community
Requirements: MD or PhD in computer science, genetics, computational biology, or related field; Expert in deep learning, statistics, proteinomics and/or genomics; Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences; Be willing to work in a fast paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines

Duties: Work independently in cross-functional teams to lead the testing effort for data analysis software; Partner with software, bioinformatics developers and domain experts in designing, performing, and improving verification tests; Design and Implement automated software verification framework and scripts; Prepare necessary test artifacts required for formal software/product release; Develop and execute automated tests; Carefully analyze and report test results; Participate in Code and Design Reviews
Requirements: Experience developing software applications utilizing a high level language such as Python, Java, C# or C++ required; Strong software engineering fundamentals: OOP, data structures, SOLID principles, unit testing, TDD, SQL; Bachelor/Masters/PhD in Bioinformatics, Computer Science, Computer Engineering, Computational Biology or releveant fields; Have an understanding of Bioinformatics, Genomics, Molecular Biology, Oncology or related field of biology; Experience in designing or architecting automated verification framework and tests; Experience with CI/CD, Continuous Testing and related tools such as Jenkins