The Sr. Data Scientist in the Research and Development (R&D) group at Align works closely with our cross-functional teams in IT, software, marketing, clinical, and operation teams. He/she leverages Align’s digital clinical database to develop and deliver data-driven insights and advanced ML/AI solutions, metrics, and recommendations to assist teams to drive the company’s product development roadmap and transform the orthodontic world with the Invisalign product.
Role expectations
• Act as a senior data science expert within R&D, partnering with cross-functional teams across software, clinical, and research domains
• Drive product innovation by leveraging clinical and operational data through statistical analysis, data insights, and advanced ML/AI techniques
• Own the end-to-end analytics and ML lifecycle, from problem definition and hypothesis development to deployment and impact evaluation
• Apply full-stack data science skills, including data extraction, exploratory and confirmatory analysis, modeling, and validation
• Design and develop advanced ML or Agentic AI solutions, including systems that integrate LLMs with domain data and existing software platforms, where appropriate
• Translate analytical and AI outputs into clear insights and recommendations to inform product, clinical, and business decisions
• Provide technical leadership and mentorship, contributing to architectural decisions and responsible AI practices
• Develop a comprehensive understanding of the Invisalign products and operational procedures
• Build effective working relationships with management and connect with diverse cross-functional teams both locally and globally
• Work efficiently in a fast-paced environment to meet critical deadlines and priority changes
What were looking for
• MS or PhD in Data Science, Statistics, Biostatistics, Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience
• MS with 6+ years of industry experience applying data science, analytics, or machine learning to real-world product or business problems; PhD with 3+ years of industry experience
• Strong foundation in statistical analysis and experimental design, including hypothesis testing, model validation, and interpretation of results
• Proficiency in Python and/or R for data analysis, modeling, and analytics workflows
• Experience working with relational databases and large datasets (e.g., SQL-based data extraction and analysis)
• Ability to translate complex analytical or modeling results into clear insights and recommendations for technical and non-technical stakeholders
• Experience owning work end-to-end, from problem formulation through execution and delivery in a cross-functional environment
Desired:
• Dental, medical device or pharmaceutical industry experience preferred