Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 850-1200pd, Outside IR35 | 6-12 months Contract Length
This role involves leading the technical direction for structural biology models in a leading drug discovery organization. The engineer will focus on machine learning modeling, architecture, and experimentation, providing mentorship without direct management responsibilities.
Responsibilities:
1. Define data preprocessing, selection, and benchmarking approaches for protein structures and multimodal datasets.
2. Design model extensions for challenges like protein interactions and binding affinity predictions.
3. Mentor team members on structural biology modeling projects.
4. Lead strategy for applying foundational models in structural biology.
5. Influence model architecture, data infrastructure, and deployment decisions.
6. Collaborate with other teams to meet scientific discovery needs.
7. Contribute to publications or open-source projects.
8. Develop scalable ML systems for training, inference, and deployment.
Milestones:
1. Month 3: Lead a project on structural biology modeling and plan adaptation strategies.
2. Month 6: Deliver initial model extensions with benchmarking and pipelines.
3. Month 12: Oversee multiple initiatives, demonstrating improvements and guiding strategy.
Qualifications:
* PhD or equivalent in ML, computational or structural biology, with proven application in protein structure or drug discovery.
* Experience with transformer models (e.g., PyTorch, Lightning).
* Understanding of data challenges and scalable workflows in structural biology.
* Experience with ML systems at scale, CI/CD, versioning, distributed training.
* Proficiency with MLOps tools (Docker, Kubernetes, cloud platforms).
* Ability to navigate complex technical environments and execute ambitious projects.
* Knowledge of how models contribute to drug discovery processes.
Application:
If you are a good fit, send your CV for consideration and we will contact you if matched.
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