Machine Learning Researcher

Stellenbeschreibung:

Direct message the job poster from THRYVE

Build ML that detects disease before symptoms appear.

A fast-growing Berlin clinical AI startup is working at the intersection of machine learning, voice analytics, and cardiovascular care . Its systems are already used in real clinical workflows, and its next-generation research explores how human voice can act as a physiological biomarker for early disease deterioration.

This role offers a rare chance to work on a high-impact, high-difficulty ML problem where research is validated in clinical studies and translated into regulated, real-world systems.

Why this role stands out

A genuinely novel ML challenge: extracting clinically meaningful signal from human voice.
Clinical-grade impact: models are evaluated in real studies and deployed into care.
End-to-end ownership: from hypothesis and experimentation to validation and productisation.
Strong scientific environment: close collaboration with clinicians and experienced researchers.
Work that matters: research can directly change how chronic disease is monitored.

What the role involves

Designing and running ML experiments on voice and biosignal data.
Developing and validating models for early detection of cardiovascular deterioration.
Helping define research standards and mentoring junior researchers.

What they are looking for

PhD or equivalent research experience in ML, signal processing, or related fields.
Strong hands‑on experience with Python and modern ML frameworks.
A researcher driven by rigor, curiosity, and real‑world impact .

For ML researchers who want their work to influence clinical practice — not just benchmarks — this is a rare opportunity.