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
Posted 3 days ago by Owen Thomas | Pending B Corp™ on Linkedin
Negotiable
Outside
Remote
United Kingdom
Summary: The Principal Machine Learning Engineer will lead the technical direction for structural biology models within a drug discovery B2B platform. This fully remote role requires expertise in transformer-based models for protein structure prediction and involves mentoring engineers while influencing key technical decisions. The successful candidate will design and implement machine learning systems, ensuring they meet practical needs in scientific discovery. The position is contract-based for 6-12 months and offers a competitive daily rate.
Key Responsibilities:
- Define approaches for data preprocessing, selection, and benchmarking for training tasks involving protein structures and multimodal biological datasets.
- Design and implement model extensions for predicting protein complex interactions and binding affinities.
- Provide mentorship and guidance to team members on structural biology modeling projects.
- Lead the technical strategy for machine learning applications in structural biology.
- Influence decisions regarding model architecture, data infrastructure, and deployment strategies.
- Collaborate with other teams to ensure models meet practical scientific needs.
- Contribute to scientific publications or open-source projects.
- Develop and maintain scalable, production-ready machine learning systems.
Key Skills:
- PhD or equivalent experience in machine learning, computational biology, or structural biology.
- Extensive experience in building and training transformer-based models using frameworks like PyTorch.
- Understanding of data challenges in structural biology and ability to design scalable workflows.
- Experience delivering machine learning systems at scale, including CI/CD pipelines and model versioning.
- Proficiency with modern MLOps tools and infrastructure, such as Docker and Kubernetes.
- Adept at navigating complex technical environments and executing ambitious modeling initiatives.
- Understanding of how structural biology models contribute to drug discovery.
Salary (Rate): 1200
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT