Medical Data Specialist

Description

We're looking for a Medical Data Specialist to join our team and support the development of AI-driven solutions in digital pathology, oncology, and drug development. In this role, you'll perform and review histology image annotations, ensuring high-quality medical data for our AI models. You'll also help coordinate annotation projects involving internal team members and external pathologists, ensuring accuracy, consistency, and timely delivery. We're looking for someone with strong histology knowledge and hands-on experience in digital pathology annotation, who can work independently with minimal additional histology training.

Responsibilities

• Perform high-quality annotations of digital pathology images, including H&E and immunohistochemistry (IHC) stained tissue slides.
• Review and validate annotations, identify inconsistencies, and ensure data quality and accuracy.
• Coordinate annotation projects involving internal team members and external pathologists, including task distribution, progress tracking, and follow-up.
• Prepare annotation tasks, maintain clear guidelines, and support quality control processes.
• Work closely with Pathology, Science, and Data Science teams to address annotation questions and project needs.
• Independently prioritize tasks and respond to time-sensitive annotation requests.

Requirements

• Proven hands-on experience with histology or digital pathology image annotation.
• Strong understanding of histology, tissue morphology, and the ability to accurately identify and annotate relevant structures in pathology images.
• Familiarity with common histological staining methods, including H&E and IHC.
• Educational or professional background in Medicine, Pathology, Life Sciences, or a related field.
• Strong organizational skills, attention to detail, and ability to work independently.
• Ability to coordinate multiple tasks and communicate effectively with medical and technical teams.
• Strong technical orientation and proficiency in English.

Nice to Have

• Experience working in a digital pathology, healthcare AI, or oncology-focused company.
• Familiarity with oncology biomarkers, such as HER2 and PD-L1, or multiplex imaging.
• Previous experience reviewing annotations or coordinating annotation projects with pathologists.