Research Fellow

Responsibilities

• Contribute to the development and validation of AI/ML methods for data quality monitoring in clinical trials
• Work alongside other members of the Science team to quantify and measure behavioral manifestations of psychiatric illness from video and audio data
• Collaborate with the Engineering team to push developed methods into production
• Document and disseminate findings related to novel methods internally and to both commercial and scientific audiences

Requirements

• The ability to write code, including advanced proficiency in data science, particularly using Python
• Proficiency with basic software development tools such as Github, AWS EC2, S3, SageMaker
• A deep comfort with core concepts in statistics and basic machine learning algorithms
• Pursuing a master's or doctoral degree in the biomedical sciences (neuro, psych, biomedical engineering, etc.) or computer science
• Familiarity with or an interest in common psychiatric conditions and how they are measured
• The ability to concisely and clearly communicate complex scientific concepts