Bayesian Data Scientist [3 Days Left]...

Our client is revolutionising healthcare for millions
of patients worldwide. They are at the forefront of wearable
technology, connecting patients and physicians with continuous,
data-driven dialogue. This unique position offers daily directed
guidance that redefines primary care while helping people live
happier, healthier, and longer lives. They are looking for a
passionate Data Scientist to develop impactful healthcare solutions
using wearable data. This high-impact role provides an opportunity
to shape the future of digital health and bring clinically
validated, regulatory-ready Machine Learning solutions to market.
What you'll do: - Design and implement machine learning models for
real-time analysis of wearable biosignal data. - Develop algorithms
that meet clinical-grade performance standards for use in regulated
environments. - Preprocess and manage large-scale, continuous
time-series datasets from wearable sensors. - Collaborate with
clinical, product, and regulatory teams to ensure solutions align
with FDA, SaMD, and GMLP requirements. - Optimize algorithms for
deployment on resource-constrained devices. - Run thorough
validation experiments including performance metrics like
sensitivity, specificity, ROC-AUC, and precision-recall. -
Contribute to technical documentation and regulatory submissions
for medical-grade software. What you bring: - MS or PhD in Machine
Learning, Biomedical Engineering, Computer Science, or a related
field. - 3–5+ years of experience applying machine learning to
time-series or physiological data. - Strong foundation in signal
processing and time-series modelling. - Proficiency in Python and
ML frameworks such as PyTorch or TensorFlow. - Familiarity with FDA
regulatory pathways for medical software. - Experience with MLOps
practices and model versioning in compliant environments. About the
job Contract Type: FULL_TIME Focus: Data Science & AI Research
Industry: Medical and Nursing Workplace Type: Remote Experience
Level: Mid Management Location: London Salary: £80,000 - £120,000
per annum #J-18808-Ljbffr