Senior Bioinformatics Scientist – AI/ML for 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.

We are seeking a Senior Bioinformatics Scientist specializing in AI-enabled protein design and engineering to help invent the next generation of enzyme reagents that power Illumina sequencing platforms. Working at the intersection of machine learning, structural biology, and protein engineering, you will apply state-of-the-art computational approaches to design enzymes that expand the performance and capabilities of Illumina technologies. The role is based in San Diego. This is an exciting opportunity to be a part of Illumina’s continued growth.

Responsibilities:

• Develop and apply tailored bioinformatics tools and pipelines to design, engineer, and/or discover novel enzymes.
• Apply modern AI approaches, including protein language models, generative design methods, and structure-based machine learning, to predict and optimize enzyme function.
• Evaluate application, development, and implementation of novel computational methods and AI technologies to leverage protein sequence, structure, and/or experimental data for enzyme engineering.
• Create reusable templates, scripts, dashboards, or lightweight applications that allow project teams to run routine analyses and review computational recommendations more efficiently.
• Contribute to standards for data capture, model evaluation, design rationale, and reproducible computational workflows.
• Analyze high-throughput screening and sequencing datasets to guide protein optimization.
• Participate in multi-disciplinarily protein engineering projects and interact with engineers, chemists, biophysicists, and protein scientists, to deliver protein variants with desired properties.

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.

Requirements:

• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.
• Practical experience developing and applying AI/ML methods to protein and enzyme engineering
• Solid programming skills in at least one of the major programming languages (e.g., C/C++, Python, R).
• In-depth knowledge of protein sequence or structure modelling, protein-ligand interaction predictions and/or molecular simulations.
• Strong fundamentals in statistical modelling, algorithm design, data analysis, and/or visualization methods.
• Excellent verbal and written communication skills.
• Collaborative, open and self-aware, team player, and able to rapidly integrate into cross functional teams.
• Highly motivated individual with proven ability in thinking innovatively and the proven track record of productive research and development.

Preferred Experience:

• Experience with foundational AI/ML models and protein language models for protein engineering, including generative protein design, zero-shot variant scoring, supervised learning, model-guided library design, denoising and uncertainty-aware learning, and multi-parameter optimization of protein properties..
• Experience with structure prediction, protein-ligand or enzyme-substrate modeling, molecular dynamics, docking, or biophysical analysis (e.g. Rosetta, Protein MPNN, RFdiffusion, Boltz, Alphafold)
• Experience developing data standards, assay schemas, dashboards, or lightweight tools for experimental scientists.
• Experience with AI agents.
• Deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Large-scale biological data analysis using cloud or high-performance computing environments. Experience with high-performance computing, job schedulers, and/or GPU computing.
• Experience with experiments within protein engineering, e.g. directed-evolution, high-throughput screening.
• Knowledge of best software development practices and code version control, e.g. Git.
• Knowledge of UNIX environment and shell scripting.
• Broad knowledge of bioinformatics, genomics, and/or proteomics database, tools, and/or algorithms.
• Knowledge of biochemistry, enzymology, and/or molecular biology.
• Familiarity with next generation sequencing technologies, tools, and/or workflows.

The estimated base salary range for the Senior Bioinformatics Scientist – AI/ML for Protein Engineering role based in the United States of America is: $129,400 - $194,000. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. The range reflects long‑term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.

We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.