Computational Biologist

  • Location

    Wisconsin

  • Sector:

  • Job type:

    Temporary

  • Salary:

    Negotiable

  • Contact:

    Edward Hincks

  • Contact email:

    e.hincks@ioassociates.com

  • Job ref:

    BBBH168062_1759172679

Computational Biologist, Midwest/Remote.

Employment Type: Full-Time
Work Arrangement: Hybrid/Remote flexibility

iO Associates are delighted to be supporting this AI-driven CDMO that specializes in the development and manufacturing of mammalian-expressed recombinant proteins. By combining small-scale manufacturing services with data-driven AI models, they accelerate development time lines and help bring life-saving therapies to patients faster.

The Opportunity:

You will own the modeling pipelines that link protein sequences, structure, and process conditions to downstream purification outcomes (chromatography). You'll design and deliver hybrid approaches that combine mechanistic models with modern machine learning, turning raw experimental data into clear guidance for accelerated biomanufacturing process development.

What You'll Do

  • Stay current 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 attributes; quantify uncertainty and trade-offs.

  • Partner with scientists to design DoE 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: provision and manage cloud infrastructure (AWS/GCP, EC2, S3, Docker, CI/CD) and deploy services/pipelines with tests, documentation, and monitoring.

  • MLOps: maintain clean feature stores, train/evaluate/scale ML pipelines (Conda, TensorFlow, PyTorch), and monitor production models.

  • Communicate results with clear visuals and next-step recommendations for scientists and engineers.

Role Requirements:

  • PhD (or MS with equivalent experience) in Bioinformatics, Chemical/Biological Engineering, Computer Science/Statistics, or related fields.

  • Hands-on ML experience applied to protein purification (feature selection, regularization, cross-validation, calibration/uncertainty, interpretability).

  • Working knowledge of chromatography fundamentals (isotherms, mass transfer, column dynamics) or eagerness to ramp quickly.

  • Experience of shipping production-ready analysis/modeling software used by other scientists/engineers.

  • Strong proficiency with Python, version control, containers, and reproducible workflows.

Desirable Experience:

  • Experience combining mechanistic models with ML in protein purification.

  • behavUse of QSPR models predicting monoclonal antibody chromatographic binding behavior from sequence.

  • Antibody modeling exposure (e.g., ABodyBuilder3, AlphaFold-Multimer), developability, and curation of mAb datasets.

  • Experience with chromatography simulators (e.g., CADET) or similar biophysical modeling tools.

  • Integration with LIMS/ELN systems, data lakes, and experiment tracking platforms.

  • Published work in relevant journals.

  • Full-stack software engineering experience.

  • Familiarity with AI coding accelerators (Claude Code, Cursor, etc.).

Get in touch with iO to formalize your application and learn more.

e.hincks @ioassociates.com