Senior Staff Scientist

We are recruiting for a Senior Staff ML Engineer to build architectures that can learn generalisable biological patterns from genomics, transcriptomics, proteomics, and clinical data. Bridge cutting-edge ML methods with functional genomics to enable sophisticated target identification from GWAS and causal variants.

You will lead the design and deployment of state-of-the-art ML systems that meaningfully improve human health—translating research breakthroughs to help increase the probability of success in bringing treatments to patients.

What You’ll Do (Core Responsibilities)

• Technical leadership: Own end-to-end architecture for one or more flagship ML capabilities (e.g., representation learning for multimodal biomedical data, foundation models for health, target discovery, biomarker discovery, imaging models, genomics models).
• Research-to-production translation: Partner with research scientists to harden prototypes into robust, measurable, reproducible systems.
• Model development: Design, train, evaluate, and iterate on deep learning models (transformers, diffusion, GNNs, multimodal models), including scaling strategies and ablations.
• MLOps and deployment: Build and own training/inference infrastructure, CI/CD for ML, monitoring, drift detection, and rollback strategies.
• Cross-functional influence: Work closely with other groups in computational sciences.
• Mentorship: Raise the bar through design reviews, model reviews, playbooks, and mentoring senior engineers/scientists.

Requirements

• 10+ years software/ML engineering experience (or equivalent), including leadership on high-impact ML systems.
• Deep hands-on expertise in modern ML (deep learning, representation learning, generative models, self-supervised learning) and at least one domain: health/biomed, large-scale ML platforms, or safety-critical ML.
• Strong proficiency in Python and ML frameworks (JAX/TF/PyTorch), and ability to write production-quality code.
• Experience with large-scale training (distributed training, accelerators, performance profiling, reliability).
• Track record of driving ambiguous projects to success across multiple stakeholders.
• Excellent communication: can explain tradeoffs to researchers, engineers, product, and key stakeholders.

KEMIO Consulting is leading this retained search and would welcome confidential discussions with senior candidates. Please Apply or get in touch with the team at KEMIO Consulting to discuss this opportunity in more detail.