Senior Data Scientist

The Senior Data Scientist will provide programming, advanced statistical, and machine learning expertise to the Clinical Data Science team, supporting research initiatives focused on digital biomarkers and predictive model development.

Requirements

• Develop and implement high-quality code for digital biomarker analysis and inference models as application programming interfaces.
• Conduct exploratory data analysis, statistical testing, and develop inference models to measure and validate novel digital biomarkers related to disease and behavior.
• Create machine learning and statistical models to predict patient behavior, utilizing complex, high-dimensional data.
• Engage in the assessment and implementation of computational and predictive analytics strategies to tackle research questions.
• Play a key role in defining the experimental design and research scope, including data requirements, methodology, analysis, and validation strategies.
• Independently manage experimental plans, analyze results, and report findings to leadership.
• Produce data visualizations for a variety of data types, including complex digital biomarker data and model performance metrics.
• Establish data quality metrics and conduct thorough data quality assessments.
• Work closely with the applications research team to translate digital biomarkers and models into practical product applications.
• Design and oversee continuous validation processes for systems incorporating digital biomarkers and predictive models.
• Mentor junior staff and supervise student interns.
• Communicate results to a broad audience, including clinical professionals, technical experts, and non-specialists.
• Oversee client project portfolios, ensuring clear and effective communication across multiple initiatives.
• Contribute to scientific publications, author abstracts, and present findings at professional gatherings.