▷ High Salary: Data Scientist (Series C Silicon ValleyStartup, 70mil funding)...

Save job 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: As a Data Scientist, you will play a key role in
building real-time, FDA-compliant algorithms that analyse
continuous physiological signals from wearables. Your work will
involve designing machine learning models for real-time analysis of
wearable biosignal data such as ECG, PPG, accelerometer. You will
also be responsible for developing algorithms that meet
clinical-grade performance standards for use in regulated
environments. Collaborating with various teams will be a
significant part of your role to ensure solutions align with FDA,
SaMD, and GMLP requirements. - 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: The ideal candidate for
  this Data Scientist role will have an MS or PhD in Machine
  Learning, Biomedical Engineering, Computer Science or a related
  field. You should have 3–5+ years of experience applying machine
  learning to time-series or physiological data. A strong foundation
  in signal processing and time-series modelling is essential.
  Proficiency in Python and ML frameworks such as PyTorch or
  TensorFlow is required. Familiarity with FDA regulatory pathways
  for medical software is crucial. - 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. Robert Walters
  Operations Limited is an employment business and employment agency
  and welcomes applications from all candidates About the job
  Contract Type: Permanent Focus: Data Science & AI Research
  Industry: Medical and Nursing Workplace Type: Remote Experience
  Level: Mid Management Location: London Contract Type: Permanent
  Specialism: Technology & Digital Focus: Data Science & AI
  Research Industry: Medical and Nursing Salary: £80,000 - £120,000
  per annum Workplace Type: Remote Experience Level: Mid Management
  Location: London FULL_TIME Job Reference: HCIIGH-C1FBD5A9 Date
  posted: 22 May 2025 Consultant: Joshka Van Der Walt london
  information-technology/data-science-ai-research 2025-05-22
  2025-07-21 medical-and-nursing London London GB GB GBP 80000 120000
  120000 YEAR Robert Walters
  https://www.robertwalters.co.uk/content/dam/robert-walters/global/images/logos/web-logos/square-logo.png
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