Health Data Scientist (Imaging Focus)

A Health Data Scientist (Imaging Focus) spends their day developing and applying advanced analytical models, often involving AI and machine learning, to medical imaging data (PET, SPECT, MRI, CT scans). Their goal is to automate disease detection, improve diagnostic accuracy, and extract new insights from complex visual data to aid clinicians.

• Develop and implement machine learning models for image segmentation, classification, and object detection in medical scans
• Pre-process and clean large datasets of medical images, ensuring data quality and consistency
• Collaborate with radiologists, nuclear medicine physicians, and other clinicians to define project requirements and validate models
• Research and evaluate new AI algorithms and deep learning architectures for medical image analysis
• Optimize model performance and interpret results, explaining complex AI decisions to medical professionals
• Manage and integrate imaging data from various sources, ensuring data privacy and ethical handling
• Publish research findings in scientific journals and present at conferences
• Develop tools and pipelines for automated image analysis workflows

Works in a research lab or a specialized data science unit within a hospital or university. The environment is highly collaborative, involving close interaction with medical professionals and other data scientists. Requires intense focus on complex data and algorithms.

Typical hours: 45h/week · WLB score 7/10 · OCCASIONAL overtime

Research-oriented roles can have flexible hours but often require intense periods of work, especially when developing new models or meeting research deadlines. Collaboration with international teams might also mean irregular hours.

Typical progression: 4yr to mid · 8yr to senior

Starts with assisting in data preparation and model implementation. Progresses to independently developing and deploying complex AI models, leading research projects, and potentially managing a team of data scientists. Strong publication record is key for senior research roles.

Freelance earnings: $35–$100/mo (USD)

The AI startup ecosystem is nascent but growing, with some government and private sector support for deep tech. However, healthcare AI has high regulatory hurdles.

This role is at the forefront of developing automation using AI. While AI tools assist, the core work of designing, training, validating, and interpreting these complex models remains a highly human-centric, research-intensive task.

Students with exceptional analytical and programming skills, a strong interest in AI/machine learning, and a desire to apply these advanced technologies to solve critical problems in healthcare and medical imaging.