Health Data Scientist β€” Preventive Care AI (Remote)

Health Data Scientist β€” Preventive Care AI (Remote)

Full-Time 60750 - 74250 Β£ / year (est.) Working from home possible
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At a Glance

  • Tasks: Transform sensor data into clinical insights and build predictive models.
  • Company: Neko Health, a leader in preventive care technology.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Join a remote-first team dedicated to improving patient outcomes.
  • Why this job: Make a real difference in healthcare with innovative AI solutions.
  • Qualifications: Experience in data science, Python, and machine learning.

The predicted salary is between 60750 - 74250 Β£ per year.

Neko Health is seeking a Data Scientist to turn sensor data into actionable clinical insights.

You will build models, evaluate performance, and collaborate with researchers, engineers and clinicians to advance preventative care.

You will work in a distributed, remote-first team using Python, ML methods, and scalable data pipelines, contributing to data-driven decisions that support new medical devices and patient outcomes.

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Health Data Scientist β€” Preventive Care AI (Remote) employer: Neko Health

At Neko Health, we are not just redefining preventative care; we are creating a vibrant work culture that prioritises employee growth and meaningful contributions. As a Member Experience Training & Quality Coordinator, you will be at the forefront of our mission, delivering impactful training and quality assurance while enjoying a supportive environment that fosters innovation and collaboration. With opportunities for professional development and a commitment to inclusivity, Neko Health is an exceptional employer for those looking to make a real difference in healthcare.

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Contact Details:

Neko Health Recruitment Team

We think you need these skills to ace Health Data Scientist β€” Preventive Care AI (Remote)

Data Science
Sensor Data Analysis
Model Building
Performance Evaluation
Collaboration
Python
Machine Learning Methods