Overview In this role you will lead the development of advanced RNA and multiomic analysis methods within Illumina's DRAGEN Bioinformatics team. You will translate biological insight into scalable software and production-quality workflows, collaborating across bioinformatics, software, FPGA, assay development, and product teams. You will mentor others, guide technical direction, and explore new technologies to accelerate method development and product innovation. This is a mission-driven opportunity to shape next-generation genomic analysis at scale and impact healthcare globally.
Compensation / Benefits- access to genomics sequencing
- health/dental/vision coverage
- retirement benefits
- paid time off
- bonus or equity opportunities
- inclusive culture with ERGs
Responsibilities- 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 analysis, ATAC-seq, CROP-seq, and emerging multiomic assays
- Apply machine learning, AI-based methods, foundation models, LLM-enabled workflows, and biological foundation models to accelerate method development, validation, interpretation, and product innovation
- Develop production-quality software solutions in collaboration 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 within the organization
- Evaluate emerging technologies and identify opportunities for new features, products, analytical capabilities, and intellectual property
Key requirements- PhD or equivalent industry experience in a related field
- Extensive 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 languages
- Experience designing, validating, benchmarking, and interpreting computational methods for complex biological datasets
- Experience applying ML/AI or modern data science techniques to biological data analysis or software validation
- Proven technical leadership and ability to drive complex projects from concept to product delivery
- Strong communication and collaboration skills for cross-functional work
- Track record of innovation via publications, patents, or open-source contributions
- strong cross-functional collaboration
- effective communication of complex technical concepts
- mentorship and leadership
- RNA-seq and multiomic data analysis
- transcriptomics
- machine learning / AI in genomics
