Job Title: Healthcare Researcher

Job Type: Full-time

Location: Remote

Job Summary:

We are seeking an experienced Healthcare Researcher to join our customer’s team and play a central role in advancing innovative AI systems for healthcare. Leveraging your clinical, epidemiological, or public health expertise, you will create, interpret, and annotate medical content to support data-driven solutions while ensuring the highest standards of scientific communication.

Key Responsibilities:

• Design, conduct, and document healthcare research methodologies to support AI model development and evaluation.
• Interpret and annotate medical content, ensuring accuracy and alignment with clinical best practices.
• Create comprehensive question-and-answer pairs across diverse healthcare domains for AI training purposes.
• Collaborate with multidisciplinary teams to refine data annotation protocols and improve data quality.
• Contribute subject matter expertise in clinical, epidemiological, or public health to inform project direction.
• Draft clear, effective scientific communications, including research summaries and project updates.
• Ensure all research outputs adhere to ethical standards and industry regulations.

Required Skills and Qualifications:

• Advanced degree in healthcare, medicine, public health, or a related scientific field.
• Demonstrated experience in healthcare research methodology and study design.
• Strong ability to interpret complex medical content with attention to detail.
• Proven expertise in scientific communication, both written and verbal.
• Experience creating or curating medical datasets or content for AI, ML, or healthcare platforms.
• Exceptional organizational skills and the ability to manage multiple tasks in a remote environment.
• Deep understanding of clinical, epidemiological, or public health concepts.

Preferred Qualifications:

• Prior experience as a subject matter expert supporting AI or machine learning projects in healthcare.
• Familiarity with medical content annotation tools and data management systems.
• Contribution to peer-reviewed publications or scientific workshops is a plus.