Research & Model Development

Lead the design, development and evaluation of deep learning models (such as Diffusion models, Transformers, GNNs) to predict functional hotspots in silico.
Stay at the frontier of AI for protein science, translating research ideas into practical implementations: rapidly test the most promising new methods to understand their value and limitations for our specific use case.
Lead cross-functional efforts to integrate experimental data into model training pipelines, working closely with experimental and computational teams.
Contribute to scientific publications and IP filings arising from AI-driven discoveries.

Infrastructure & MLOps

Manage the ML infrastructure stack: compute resource planning, spend forecasting, and tooling for experiment tracking and model lifecycle management.
Build and maintain data pipelines integrating proprietary and public datasets into model training workflows.
Advise on and implement pathways to bring models from research to production and into experimental and computational workflows.

Strategy & Team Leadership

Define and execute ALLOX's AI roadmap in close collaboration with the leadership team, expanding beyond hotspot prediction to AI applications across the company.
Mentor future team members, participate in technical reviews and hiring interviews, and help build a culture of rigorous, open science.
Communicate clearly with experimental and computational teams to identify opportunities for AI integration and keep stakeholders informed on progress, results, and innovations.
Exemplify best practices and contribute to a productive and inclusive working environment.

Careers

Senior AI Scientist – Protein Function & Drug Discovery