Senior Staff Bioinformatics Scientist (AI-guided protein engineering)

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Why us Illumina is the global leader in Next Generation Sequencing (NGS) technology. Through relentless innovation, Illumina has reduced the cost of sequencing a human genome from hundreds of thousands of dollars to below $200. The drastic cost reduction has moved NGS from the laboratory to the clinic, with wide-ranging impact from cancer diagnostics to genetic testing. We invite you to join us in our effort to improve human health by unlocking the power of the genome.   Position summary We are seeking a Senior Staff Scientist to help build computational tools and data foundation for our protein engineering group across global enzyme engineering programs. This role will connect data structures for high-throughput and mid-throughput screening, participate in method development and evaluation, and help establish semi-closed-loop and closed-loop design-build-test-learn workflows. The successful candidate will provide senior technical leadership at the interface of protein engineering, AI/ML design, screening data systems, automation, and experimental execution. This scientist will define how screening results become reusable data assets as well as how computational methods are benchmarked and adopted.   The role is based in Singapore. This is an exciting opportunity to be a part of Illumina’s continued growth.   Responsibilities include, but are not limited to: Build reusable data foundations for protein engineering. Define data structures, metadata standards, variant lineage, assay context, controls, replicate handling, uncertainty, and negative data capture across high- and mid-throughput screening workflows. Enable model-guided enzyme engineering. Develop and evaluate computational workflows that connect sequence, structure, assay, and screening datasets to AI/ML models, design rationale, variant prioritization, and next-round library design. Benchmark computational and AI methods. Assess internal pipelines, open-source methods, commercial protein design platforms, and emerging scientific agents using retrospective and prospective performance metrics relevant to enzyme engineering programs. Deliver practical tools for project teams. Create reusable scripts, templates, dashboards, lightweight applications, and analysis pipelines that help experimental and computational teams run routine analyses and interpret recommendations efficiently. Advance closed-loop DBTL workflows. Help establish semi-closed-loop and closed-loop design-build-test-learn systems in which experimental results are captured, analyzed, modeled, reviewed, and converted into actionable design recommendations. Partner across global engineering programs. Work closely with experimental scientists, automation teams, informatics, software engineering, data engineering, chemists, biophysicists, and platform teams to ensure computational workflows align with assay throughput, operational constraints, and program goals. All listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.   Education, Experience & Attributes required: Ph.D. in computational chemistry, computational biology, bioinformatics, computer science or related fields, or equivalent work