Senior Bioinformatics Scientist – AI/ML for Protein Engineering
Core
Design and engineer novel enzymes to expand the performance and capabilities of Illumina sequencing platforms using AI/ML and structural biology.
Role type
Senior IC bioinformatics scientist (AI/ML for protein engineering)
Builds
Novel enzyme reagents for sequencing platforms
Domain
Genomics + Protein Engineering + Machine Learning
Deliverable
production ML models
Required skills
Protein language models, generative design methods, structure-based machine learning, statistical modelling, algorithm design, data analysis, visualization, C/C++/Python/R programming, protein sequence/structure modelling, molecular simulations
Preferred skills
Generative protein design, zero-shot variant scoring, supervised learning, model-guided library design, denoising, uncertainty-aware learning, multi-parameter optimization, structure prediction, protein-ligand modeling, molecular dynamics, docking, biophysical analysis, AI agents, deep learning frameworks (PyTorch/TensorFlow/JAX), high-performance computing, GPU computing, directed-evolution, high-throughput screening, Git, UNIX/shell scripting, bioinformatics databases, biochemistry, enzymology, next generation sequencing
Technologies
PyTorch, TensorFlow, JAX, Rosetta, Protein MPNN, RFdiffusion, Boltz, Alphafold, Git, UNIX
Responsibilities
Develop bioinformatics tools/pipelines for enzyme design; Apply AI/ML to predict/optimize enzyme function; Evaluate computational methods for protein engineering; Create reusable scripts/dashboards for analysis; Contribute to data capture standards and reproducible workflows; Analyze high-throughput screening/sequencing datasets; Collaborate on multi-disciplinary protein engineering projects
Seniority
Senior, hands-on IC
