Description

In this role, you will be at the forefront of clinical development, co-creating strategies for sensor data collection and analysis while collaborating with a diverse team to implement cutting-edge analytics and integrate various data modalities.

Requirements

• •Ph.D. or equivalent degree in Life Sciences, Computer Science, Informatics, Statistics, or related field
• •Substantial experience in pharmaceutical and digital health sectors
• •Adeptness in delving into sensor data across diverse domains
• •Proficiency in feature engineering, algorithm development, and statistical analysis
• •Deep understanding of relevant disease areas
• •Proven project management skills
• •Resilience
• •Curiosity and comfort in a dynamic environment
• •Proactive and creative approach
• •Outstanding presentation and communication skills in English

Tasks

• •Co-create sensor data collection strategies
• •Develop analysis and digital endpoint strategies
• •Drive implementation of sensor data analytics
• •Devise science and methodology development strategies
• •Implement statistical methodologies and machine learning approaches
• •Collaborate with stakeholders in clinical drug programs
• •Work with internal functions and external partners
• •Engage with data scientists, researchers, and clinicians
• •Provide guidance within your domain of expertise
• •Explore novel data sets and identify promising methods
• •Develop sensor-based digital endpoints
• •Apply digital clinical outcome assessments and biomarkers
• •Integrate sensor data with clinical, imaging, and omics data