
5001 - 10000 employees
Founded 1998
🏥 Healthcare
💼 Consulting
🏭 Manufacturing
💰 $750M Post-IPO Debt on 2023-01
Healthcare • Consulting • Manufacturing
Illumina is a leading company in the genomics field, providing innovative technologies for the analysis of genetic variation and function. They offer a wide range of products and services, including sequencing platforms, microarray technology, library preparation kits, bioinformatics software, and comprehensive genomic solutions. Illumina's next-generation sequencing platforms are used for various research and clinical applications, such as cancer research, reproductive health, and genetic disease detection. The company is dedicated to improving human health by enabling researchers and clinicians to accelerate their genomic discoveries and applications, ultimately impacting precision medicine and life sciences globally.
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5001 - 10000 employees
Founded 1998
🏥 Healthcare
💼 Consulting
🏭 Manufacturing
💰 $750M Post-IPO Debt on 2023-01
Healthcare • Consulting • Manufacturing
Illumina is a leading company in the genomics field, providing innovative technologies for the analysis of genetic variation and function. They offer a wide range of products and services, including sequencing platforms, microarray technology, library preparation kits, bioinformatics software, and comprehensive genomic solutions. Illumina's next-generation sequencing platforms are used for various research and clinical applications, such as cancer research, reproductive health, and genetic disease detection. The company is dedicated to improving human health by enabling researchers and clinicians to accelerate their genomic discoveries and applications, ultimately impacting precision medicine and life sciences globally.
• Lead development of novel algorithms and analytical methods for RNA and multiomic sequencing applications • Design, evaluate, and implement scalable bioinformatics workflows for bulk RNA-seq, single-cell sequencing, CRISPR/Perturb-seq, ATAC-seq, CROP-seq, and emerging multiomic assays • Apply machine learning, AI-based methods, foundation models, LLM-enabled workflows, and biological foundation models to method development, validation, interpretation, and product innovation • Develop production-quality software with bioinformatics scientists, software engineers, FPGA engineers, assay development teams, and product teams • Lead technical projects, define requirements, influence product direction, evaluate risks, and drive innovation across multiple product cycles • Mentor scientists and engineers and contribute to scientific and technical leadership • Evaluate emerging technologies and identify opportunities for new features, products, analytical capabilities, and intellectual property
• PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Biology, or a related discipline, or equivalent industry experience • Significant experience developing bioinformatics algorithms, analytical methods, and production software for NGS applications • Strong background in transcriptomics, statistical modeling, and biological data analysis • Proficiency in C++, Python, or similar programming languages • Experience designing, validating, benchmarking, and interpreting computational methods for complex biological datasets • Experience applying machine learning, artificial intelligence, or modern data science techniques to biological data analysis, method development, or software validation • Demonstrated technical leadership and ability to independently drive complex projects from concept to product delivery • Strong communication and collaboration skills with ability to influence cross-functional teams and technical strategy • Track record of innovation through publications, patents, invention disclosures, open-source contributions, or commercial product development • Preferred: experience with bulk RNA-seq, gene expression analysis, alternative splicing, gene fusion detection, RNA biomarker development, single-cell genomics/transcriptomics, CRISPR/Perturb-seq, CROP-seq, ATAC-seq, spatial transcriptomics, AI/ML/LLM or biological foundation models, AI-assisted development tools, cloud/distributed computing, large-scale genomic data processing, oncology, clinical genomics, population genomics, translational research, or biotechnology product development • Typically requires 12 years of related experience with a Bachelor’s degree; or 8 years with a Master’s degree; or a PhD with 5 years of experience; or equivalent experience • This role is not eligible for visa sponsorship
• Variable cash program (bonus or commission) • Equity for eligible roles • Access to genomics sequencing • Family planning benefits • Health, dental, and vision benefits • Retirement benefits • Paid time off • Employee Resource Groups offering career development experiences, cultural awareness, and social responsibility opportunities
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5001 - 10000
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