Opportunities to Join the Team

About Dannce.ai

Dannce.ai is transforming neurological care and drug development through AI-powered movement analysis. Our deep learning platform reconstructs patient movements in 3D, providing high-resolution, quantifiable insights to clinicians and researchers. By automating movement disorder assessments, we help improve diagnosis, track disease progression, and detect subtle drug effects that traditional methods often miss. Backed by top investors and founded by experts from Duke and Harvard, we are building the future of AI-driven neurological healthcare.

About the Role

We are seeking a Biomedical Data Scientist to bridge the gap between our cutting-edge 3D reconstruction algorithms and meaningful clinical insights. In this role, you will develop methods to translate raw movement data into interpretable signals using supervised and unsupervised machine learning techniques, feature engineering, time series modeling, signal processing, and visualization techniques. Your work will directly impact how clinicians assess and treat movement disorders, making complex data actionable and insightful.

What You'll Do

• Develop machine learning models and analytical pipelines to extract clinically relevant insights from 3D movement data.
• Identify key signals and biomarkers using supervised/unsupervised learning and signal processing techniques.
• Design data visualizations and storytelling tools that help clinicians and researchers interpret complex movement data.
• Work closely with product engineering and healthcare providers to refine models and ensure clinical relevance.
• Collaborate with software engineers to directly contribute features, models, and visualizations into our production pipeline.
• Analyze clinical study data and design experiments to validate new insights.

What We're Looking For

• Proficiency in Python and experience with scientific computing libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow, etc.).
• Strong background in biomedical data science, with experience in human datasets, clinical study data, signal processing, or time series modeling.
• Experience working with clinicians and healthcare providers to translate data into actionable insights.
• Ability to develop compelling visualizations and narratives from data, making complex concepts accessible.
• A product-focused mindset, ensuring models and insights are useful and impactful for end users.
• PhD or Master’s in biomedical engineering, computational neuroscience, machine learning, or a related field, or equivalent experience.
• 4-6 years of related work experience

Bonus Skills

• Experience with computer vision techniques applied to biomedical data.
• Familiarity with clinical study design and regulatory considerations.
• Prior work with neurological disorders or movement-related research.