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Über
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:
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)
Proven ability to design and run rigorous experiments
Experience deploying models into production environments
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
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
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Sprachkenntnisse
- English
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