Build intelligence at the frontier of human performance.
At MyelinZ, we are building the Brain & Body Intelligence Platform.
Our flagship system, BodyMirror, integrates multimodal physiological signals — including EEG, EMG, motion, speech, and behavioural data — to create a unified system for measuring human readiness, cognitive performance, and resilience.
We’re looking for a Senior Data Scientist who thrives at the intersection of AI, neuroscience, and human biology.
This role sits at the core of the intelligence layer powering BodyMirror.
What You’ll Do
* Develop and optimise machine learning models for brain and body readiness scoring
* Work on brain-age prediction, behavioural biomarkers, and physiological signal analysis
* Build signal processing pipelines for multimodal biosensor data
* Design multimodal fusion systems combining EEG, motion, speech, and behavioural signals
* Improve model robustness across noisy real-world physiological data
* Collaborate with clinical partners and research institutions
* Contribute to peer-reviewed publications and scientific outputs where appropriate
What We’re Looking For
* Strong background in machine learning and signal processing
* Experience working with physiological data or time-series data
* Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, XGBoost, etc.)
* Ability to bridge research-grade modelling and production systems
* Experience with federated learning or privacy-preserving AI is a plus
* Bonus: experience with BCI, EEG, EMG, or wearable biosensors
Why This Role Matters
At MyelinZ, we’re not building models that predict clicks.
We’re building models that estimate cognitive resilience, neural readiness, and human performance.
This means working at the frontier where AI meets neuroscience and physiology — translating complex biological signals into meaningful intelligence.
You’ll help build systems that could shape the future of brain health, human performance, and neurotechnology.
If you’re excited by multimodal AI, neuroscience, and building technology that measures the human nervous system, we’d love to hear from you.
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