Scientist - Experimental Data Generation for AI/ML (Structural Proteomics)

Compass Consulting

Madison, WI

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Automation, Biology, Communication Skills, Cross-Functional, Data Analysis, Data Processing, Data Quality, Data Sets, Disease, Document Data Formats, Experiment Design, Liquid Chromatography-Mass Spectrometry (LC-MS), Machine Learning, Proteomics, Research & Development (R&D), Team Player, Training Data Sets
LOCATION
Madison, WI
POSTED
30+ days ago
Our client is building the next generation of AI-driven structural biology, integrating cutting-edge in vivo data with machine learning to model protein conformations in disease. About the Role:
We are seeking a highly motivated Scientist / Senior Scientist to lead experimental data generation for an AI/ML-driven structural biology platform. This role sits at the intersection of wet-lab science and machine learning, focused on generating high-quality, ML-ready datasets derived from complex biological systems.

You will play a critical role in designing and executing experiments that directly inform and improve machine learning models. This is a hands-on, cross-functional position working closely with computational teams to iterate rapidly and refine data quality and experimental approaches.
Key Responsibilities:
  • Own the wet-lab R&D pipeline for generating machine learning training data
  • Translate AI/ML model requirements into well-designed experimental plans
  • Design, execute, and analyze experiments end-to-end, including:
    • Sample preparation and reagent selection
    • Automation and liquid handling setup
    • LC/MS operation and peptide mapping
    • Data processing and interpretation
  • Generate high-quality, structured datasets for machine learning applications
  • Collaborate closely with computational teams to iterate experiments based on model feedback
  • Maintain thorough documentation, data formatting, and dataset curation standards
  • Source and manage biological reagents, inventory, and lab readiness
  • Support external and internal projects by generating and analyzing experimental data
  • Communicate findings and progress clearly to cross-functional stakeholder




 

About the Company

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Compass Consulting