Description

In this role, you will focus on structuring and validating multi-modal data to support innovative digital health solutions. Your day-to-day responsibilities will involve collaborating with various teams to ensure data quality and compliance throughout the product lifecycle.

Requirements

• •Master’s or Bachelor’s degree in Biomedical Engineering, Data Science, or related technical field
• •Minimum of 5 years of experience supporting data annotation, standardization, or validation in digital health, clinical research, or related settings, or advanced degree with 3 years of equivalent work experience
• •Familiarity with structured data models, metadata standards, and annotation tooling
• •Capacity for independent thinking and decision-making based on sound principles
• •Excellent strategic agility including problem-solving and critical thinking skills
• •Respect for cultural differences in global workplace interactions
• •Excellent verbal and written communication skills, specifically in presentation and writing
• •Experience working with regulatory-aligned digital data or platforms
• •Exposure to annotation workflows, data quality assurance, or ML-based validation methods
• •Experience contributing to technical documentation and structured metadata libraries
• •Familiarity with collaboration across cross-functional and global teams

Tasks

• •Develop structured annotation workflows for digital health modalities
• •Implement data readiness workflows for wearables and imaging
• •Create and refine validation frameworks for new data sources
• •Collaborate with data scientists and engineers on data standards
• •Embed quality checks into digital health solutions
• •Apply FAIR data principles to ensure digital assets are traceable
• •Monitor performance of annotation tools for efficiency and accuracy