Data Annotation Jobs in Cambridge, MA (NOW HIRING)

Job Summary:
Mass General Brigham is a not-for-profit organization that supports patient care, research, teaching, and community service. The Postdoctoral Fellow will support a multidisciplinary research initiative focused on advancing laryngology through real-time machine learning, computer vision, and quantitative analysis of laryngoscopy videos.
Responsibilities:
• Extract, curate, and manage clinical research datasets, including flexible laryngoscopy videos, frame-level annotations, laryngeal keypoint data, high-fidelity voice recordings, operative data, patient-reported outcomes, and relevant clinical metadata.
• Develop and maintain reproducible pipelines for video ingestion, annotation, quality control, de-identification, preprocessing, dataset versioning, and secure data management.
• Work with clinicians and research staff to standardize video and outcomes data collection protocols across clinic, operating room, and follow-up settings.
• Develop and refine deep learning, computer vision, and benchmark algorithms for real-time laryngeal structure tracking, examination-state classification, anatomic feature detection, lesion or abnormality localization, and quantitative laryngoscopy.
• Apply supervised, self-supervised, temporal, explainable and multimodal machine learning methods to clinical video and related datasets, with rigorous evaluation of model accuracy, generalizability, latency, robustness, and clinical interpretability.
• Translate model outputs into clinically meaningful metrics and visualization tools that can support research, standardized examination quality, documentation, and eventual clinical decision support.
• Lead and contribute to manuscripts on AI applications in laryngology, quantitative laryngoscopy, real-time video analysis, clinical validation, and related patient outcomes research.
• Prepare abstracts, posters, oral presentations, technical reports, grant materials, and documentation for scientific meetings, collaborators, and potential translational partners.
• Collaborate closely with laryngologists, research assistants, engineers, and clinical teams to test algorithms against real clinical workflows and to identify failure modes, usability needs, and implementation barriers.
• Participate in translational activities including clinical validation planning, regulatory and data-governance discussions, intellectual property development, and interactions with internal and external collaborators.
• Maintain research codebases, model documentation, databases, and analytic workflows in accordance with institutional research ethics, HIPAA, data security, and reproducibility standards.
• Attend team meetings, provide regular project updates, coordinate technical priorities, contribute to grant writing, and help define milestones for continued development of the laryngoscopy AI platform.
• Mentor junior staff, students, and research assistants in data annotation, computational methods, experimental design, coding practices, and scientific communication.
Qualifications:
Required:
• PhD or equivalent degree in computer science, biomedical engineering, electrical engineering, computational neuroscience, data science, statistics or a closely related field.
• Strong experience with modern machine learning methods, including deep learning, neural network architecture design, computer vision, video analysis, temporal modeling, supervised and/or self-supervised learning, and rigorous model evaluation strategies.
• Advanced programming skills in Python are required.
• Excellent verbal and written communication skills.
• Strong publication record or evidence of scholarly productivity.
• Ability to work independently.
• Interest in collaborating with clinicians to translate AI research into healthcare applications.
Preferred:
• Experience with PyTorch and/or TensorFlow/Keras
• Experience with OpenCV
• Experience with Git
• Experience with Linux/Unix environments
• Experience with high-performance or cloud-based computing platforms with GPU acceleration
• Experience with DeepLabCut software
Company:
Mass General Brigham specializes in providing medical treatments and health diagnostics services. Founded in 1994, the company is headquartered in Somerville, USA, with a team of 10001+ employees. The company is currently Late Stage.