What are the responsibilities and job description for the Head of Clinical Data Annotation position at Ruby Robotics?
ABOUT US
Started by Stanford/MIT serial entrepreneurs, Ruby Robotics is maximizing patient outcomes with tissue insights at the point of care. Using custom-built hardware and AI, our platform optimizes biopsy and surgical procedure workflow while delivering disease analytics early in the patient’s journey. This facilitates faster, more informed treatment decisions for patients as well as improved staffing and operational workflow for hospitals. Funded by healthcare and deep tech VCs, our team is lean, fast, and works intensely towards the goal of improving cancer patient care.
ABOUT THIS OPPORTUNITY
We are seeking a Head of Clinical Data Annotation to oversee all aspects of biopsy and pathology image annotation, from managing distributed annotator teams to ensuring quality, consistency, and scalability of labeled datasets. This role is both strategic and operational: you will design workflows, manage vendors and annotators, collaborate with pathologists, and partner with machine learning scientists to deliver gold-standard annotations at scale. Ability to work in person at our San Carlos, CA office is preferred.
KEY RESPONSIBILITIES
- Recruit, train, and manage annotation teams (internal and external) including pathologists and other data annotators
- Develop and optimize scalable annotation pipelines
- Establish rigorous QA/QC processes to ensure annotation accuracy, consistency, and reproducibility across datasets
- Partner with ML scientists to align annotation strategies with model development needs
- Define requirements for annotation platforms, work closely with product/engineering to improve annotation tooling
- Build systems to manage high-volume annotation projects across multiple disease areas and data modalities
- Ensure data handling, labeling, and storage meet regulatory and ethical standards (HIPAA, GDPR, FDA)
- Define long-term strategy for annotation operations, including vendor partnerships, automation opportunities, and multimodal data integration
- Track and report annotation throughput, quality, and efficiency to leadership
QUALIFICATIONS
- Bachelor’s or Master’s degree in Life Sciences, Biomedical Engineering, Computational Biology, or related field (PhD a plus)
- 3 years of experience in data operations, clinical data management, or annotation workflows, ideally in medical imaging or pathology
- Proven experience leading and scaling annotation or labeling operations
- Demonstrated success in managing cross-functional teams, vendors, or distributed annotators
- Excellent organizational and project management skills with attention to detail
- Experience with annotation tools/platforms and data labeling standards
- Strong analytical skills and creative mindset
- Works well in a small, agile team
PREFERRED QUALIFICATIONS
- Prior experience in medical imaging annotation, pathology ML, digital pathology
- Familiarity with ML/AI workflows, including supervised learning and dataset curation
- Experience with regulatory frameworks for medical data (FDA, CE, HIPAA)
- Knowledge of multimodal datasets (e.g., imaging clinical or molecular data)
- Track record of building teams, processes, and infrastructure from the ground up
WHY JOIN US
- Opportunity to make a real-world impact in healthcare
- Work with a passionate and innovative team at the forefront of digital pathology and AI-powered diagnostics
- Competitive salary, equity, and comprehensive benefits package
- A dynamic and collaborative work environment with opportunities for growth and leadership