Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug disc[...]

JR United Kingdom; Ashton-under-Lyne; Remote; GBP 125,000 - 150,000; Full time

Job summary

A leading organization in drug discovery seeks a Principal Machine Learning Engineer to advance foundational models for complex biological challenges. This fully remote role focuses on protein structure prediction and drug discovery workflows, offering significant responsibilities and the chance to mentor team members.

Qualifications

• Proven experience with transformer-based models.
• Experience with scalable data workflows and ML systems deployment.

Responsibilities

• Define data preprocessing and benchmarking strategies.
• Lead technical strategy for ML applications.
• Develop scalable ML systems including training and deployment.

Skills

Machine Learning

Data Preprocessing

Mentoring

Collaboration

Education

PhD in ML, Computational Biology, or Structural Biology

Tools

PyTorch

Docker

Kubernetes

Job description

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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, Ashton-under-Lyne

Client:

A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to lead their structural biology models. This role offers the opportunity to work on advancing foundational models for complex biological challenges, with a focus on protein structure prediction and drug discovery workflows.

Location:

Ashton-under-Lyne, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

4

Posted:

12.05.2025

Expiry Date:

26.06.2025

Job Description:

Responsibilities include:

• Define data preprocessing, selection, and benchmarking strategies for protein structures and biological datasets.
• Design model extensions for challenges like protein interactions and binding affinities.
• Mentor team members and guide complex projects in structural biology modeling.
• Lead technical strategy for ML applications, focusing on foundational models.
• Influence model architecture, data infrastructure, and deployment decisions.
• Collaborate with teams to ensure models meet scientific needs.
• Contribute to publications and open-source projects.
• Develop scalable ML systems, including training, inference, and deployment pipelines.

Milestones:

• By month 3: Lead a structural biology modeling project with a strategy and experiment plan.
• By month 6: Deliver initial model extension with benchmarking and pipelines.
• By month 12: Oversee multiple initiatives, improve model accuracy, and mentor peers.

Minimum Requirements:

• PhD or equivalent in ML, computational biology, or structural biology.
• Proven experience with transformer-based models (e.g., protein folding) using frameworks like PyTorch.
• Experience with scalable data workflows and ML systems deployment.
• Proficiency with MLOps tools, cloud platforms, Docker, Kubernetes.
• Understanding of how models contribute to drug discovery.

If you are a good fit, send your CV for consideration.