Digital Health Data Engineer - Remote

Overview

We are looking for an outstanding digital health data engineer whose responsibilities will include analyzing multimodal time-series data from biosensors and developing advanced data pipelines for digital health applications.

In Short

• Design, build, and maintain data pipelines for large-scale datasets.
• Utilize large language models for digital health applications.
• Provide Python expertise and support team members.
• Manage and optimize cloud infrastructure (AWS and Azure).
• Implement generative AI technologies in digital health data.
• Communicate results through reports and presentations.
• Collaborate across teams to advance healthcare solutions.
• Drive technical innovation in data exploration efforts.
• Focus on the development of digital biomarkers.
• 3+ years of experience required.

Requirements

• Experience with multimodal time-series data from biosensors.
• Proficiency in Python and cloud-native solutions.
• Familiarity with machine learning and generative AI.
• Experience with large language models.
• Strong communication skills for reporting results.
• Ability to drive best practices in code quality.
• Experience managing cloud infrastructure.
• Ability to work collaboratively across teams.
• Strong problem-solving skills.
• 3+ years of relevant experience.

Benefits

• Opportunity to work on innovative healthcare solutions.
• Flexible working environment.
• Collaborative team culture.
• Exposure to cutting-edge technologies.
• Contract duration of 6-12 months.