Machine Learning Researcher

Job description

Machine Learning Scientist (Contract → Full-Time Potential)

Location: Remote (Contract)

Duration: 3–6 month contract (with potential to convert to full-time)

Company: Stealth-stage MedTech (AI in Oncology)

About the Company

Our client is rapidly scaling, stealth-stage medtech company applying advanced AI to transform cancer care. Founded in late 2025 and led by experienced operators and researchers, we are building proprietary, data-driven models to improve cancer surveillance, diagnosis, and treatment decision-making.

Our work is powered by rich longitudinal patient datasets, with strong in-house expertise in genomics. We are not focused on traditional imaging AI—instead, we tackle complex, multimodal clinical data to drive real-world impact in oncology.

The Opportunity

We are looking for exceptional AI Researchers / ML Engineers to join us on a high-impact contract basis (3–6 months) to accelerate model development across large-scale patient datasets.

You will work closely with our Head of AI and core research team, contributing to the design, development, and deployment of models for:

• Risk prediction
• Patient outcome modeling
• Clinical decision support

High-performing contractors will be considered for full-time roles as we expand our team in Boston later this year.

What You’ll Do

• Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR)
• Develop models for risk stratification and outcome prediction in oncology
• Work with multimodal data (clinical, genomic, and other structured/unstructured sources)
• Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment
• Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts
• Translate research insights into production-ready systems

What We’re Looking For

Core Requirements

• Strong background in machine learning and ML engineering
• Experience working with real-world healthcare data, especially: Electronic Health Records (EHR)
• Longitudinal patient datasets
• Proven ability to design and run rigorous experiments
• Experience deploying models into production environments
• Strong programming skills (Python, PyTorch/TensorFlow, etc.)

Preferred / Differentiators

• Experience with genomics or multimodal biomedical data
• Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science)
• Experience in healthcare AI, medtech, or clinical data environments
• Background in statistical modeling, causal inference, or time-series analysis

Who You Are

• A hands-on builder who can move quickly from idea → experiment → production
• Comfortable working in a fast-paced, early-stage environment
• Able to balance research depth with engineering execution
• Motivated by applying AI to high-impact problems in healthcare

Why Join Us

• Work on cutting-edge AI problems in cancer care with real-world impact
• Access to proprietary, high-quality patient datasets
• Collaborate with a world-class AI and genomics team
• Flexible contract structure with clear path to full-time
• Join early and help shape a high-growth company pre-public launch

Extra information

Status

Open

Education Level

Secondary School

Location

United Kingdom

Type of Contract

Full Time Jobs

Published at

13-04-2026

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English