Clinical Data Specialist

Intuitive • Atlanta, GA

6d • Remote

About The Position

Job Description Primary Function of Position: Contribute broadly to the Advanced Product Development team which is responsible for advanced analytics and new technology development focused on the advancement of data and digital technology for next generation robotic surgery platforms. This contribution is mainly in the form of providing ground truth annotation of surgical data. The successful candidate must excel in a high-energy, focused, team environment, be able to communicate effectively with engineering and health professionals, and have a commitment to high quality research and product development. A strong sense of shared responsibility and shared reward is required. In addition to all of these qualities, a successful candidate understands the impact this position has to the greater medical community and is transparent about mistakes, concerns, and sharing information in order to enable the team to resolve issues and further develop the best end product. Successful candidates initiate conversation to develop their ideas and work confidently to include others and organize small teams to make good ideas better. As part of the Clinical Intelligence Team, immediate responsibilities include: Annotation of surgical videos which entails documentation of ground truth and labelling of critical events in the surgical procedure (80% of the time) Use custom software to label elements in medical images and videos to support state-of-the-art artificial intelligence development and surgical analysis. Participation in training (learning and teaching) for surgical procedures in order to understand techniques and workflow. Ensure data quality through regular review and analysis of annotation outputs from either models or human sources. Collaboration Projects- where individual incorporates with technical teams to support sprints and project-related goals, contribute to clinical context, generate data for machine learning model development, and support clinical research (20 % of the time) Collaborate with technical teams to support sprints and project-related goals, contribute to clinical context, generate data for machine learning model development, and support clinical research Assist in optimization of agile annotation assignments and workflows Ability to travel domestically and internationally (10%)

Requirements

• Minimum B.S. degree in Biomedical Engineering, Biology, Physiology, or related field
• Strong understanding of human anatomy
• Demonstrates interest and ability to learn about surgical workflows and anatomy across many surgical specialties
• Interest in learning and the ability to effectively advocate for their own learning needs
• Demonstrate an aptitude for troubleshooting and problem solving
• Excellent attention to detail and excellent written and verbal communication
• Be an effective collaborator and act with the interest of the team
• Demonstrate good judgment in the characterization of work challenges and when to raise concerns – experience with JIRA/Bug reporting
• Have the ability to manage time effectively across multiple projects with differing priorities
• Demonstrate the discipline and ability to work effectively from home and coordinate with team members across time zones
• Ability to work remotely including a full day of sitting at a desk learning independently or with a group, watching and annotating surgical videos , and meeting over zoom

Nice To Haves

• Experience communicating with surgeons and OR staff is desired

Responsibilities

• Annotation of surgical videos which entails documentation of ground truth and labelling of critical events in the surgical procedure (80% of the time)
• Use custom software to label elements in medical images and videos to support state-of-the-art artificial intelligence development and surgical analysis.
• Participation in training (learning and teaching) for surgical procedures in order to understand techniques and workflow.
• Ensure data quality through regular review and analysis of annotation outputs from either models or human sources.
• Collaboration Projects- where individual incorporates with technical teams to support sprints and project-related goals, contribute to clinical context, generate data for machine learning model development, and support clinical research (20 % of the time)
• Collaborate with technical teams to support sprints and project-related goals, contribute to clinical context, generate data for machine learning model development, and support clinical research
• Assist in optimization of agile annotation assignments and workflows
• Ability to travel domestically and internationally (10%)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1-10 employees