Machine Learning Researcher
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