Computational Biologist – Protein Biomanufacturing

About Axio Axio BioPharma is an AI-first Contract Development and Manufacturing Organization (CDMO) located in Madison, WI. We specialize in the development and manufacturing of mammalian-expressed recombinant proteins, with a focus on monoclonal antibodies (mAbs). Our approach combines small-scale manufacturing services and data-driven AI models to accelerate development timelines, helping to bring life-saving therapies to patients faster. Your Role You will own the modeling pipelines that link protein sequences, structure, and process conditions to downstream purification outcomes (chromatography). You will design and deliver hybrid approaches that combine mechanistic models with modern data-driven machine learning, turning raw experimental data into clear guidance for accelerated biomanufacturing process development. What you’ll do Stay up to date with the latest literature in protein manufacturing, ML modeling, and computational tools. Build, train, and deploy hybrid models (mechanistic + ML) to predict yield, purity, and pool attributes; quantify uncertainty and trade-offs. Design DoE with scientists and close the loop from experiment → data → model → prediction → repeat. Estimate/fit chromatography parameters and run simulator studies; document assumptions and limits for reuse. DevOps: provisioning and manage AWS/GCP infrastructure (EC2, S3, Docker, CI/CD, etc.) and deploy services/pipelines with tests, docs, and monitoring. MLOps: clean feature stores, train/evaluate, scale, and monitor automated machine learning pipelines (Conda, TensorFlow, Pytorch). Communicate results with clear visuals and next-step guidance. Must-haves PhD (or MS with equivalent experience) in Bioinformatics, Chem/Bio Eng, CS/Stats, or related. Hands-on ML for protein purification (feature selection, regularization, cross-validation, calibration/uncertainty, interpretability). Working knowledge of chromatography fundamentals (isotherms, mass transfer, column dynamics) or eagerness to ramp fast. Proven track record shipping production analysis/modeling software used by other scientists/engineers. Strong use of Python, version control, containers, and reproducible workflows. Nice-to-haves Experience combining mechanistic models with ML in protein purification. Use of robust quantitative structure-property relationship (QSPR) models that predict monoclonal antibody chromatographic binding behavior from the amino acid sequence. Antibody modeling exposure (e.g., ABodyBuilder3, AlphaFold-Multimer), developability, and curation of mAb datasets. Experience with chromatography (CADET) or similar biophysical simulations. Integration with LIMS/ELN, data lakes, and modern experiment tracking. Published in relevant journals. Full-stack software engineering experience. Know how to leverage Claude Code, Cursor, etc… to accelerate development. Why Axio ·

Competitive performance-based incentives ·

Health insurance benefits for full-time employees ·

Unlimited PTO policy that supports work-life balance ·

Opportunities to make a meaningful impact in a fast-growing, innovative company ·

A collaborative and supportive work environment with a focus on professional growth Join Axio BioPharma in transforming biopharmaceutical manufacturing and helping life-saving therapies reach patients faster.