Senior AI/ML Data Scientist

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

This role is based in the Digital Endpoints and Patient-Centered Solutions (DEPCS) team, the innovative digital, AI, and tech function within Roche Product Development Data Sciences (PDD). Operating across the Science of Medicines and Operations, DEPCS is responsible for embedding patient-centered and AI-enabled digital solutions into the fabric of clinical research. By integrating data science, measurement science, and digital product thinking, DEPCS delivers scalable and regulatory-ready innovations that enhance trial design, evidence generation, and clinical value of Roche medicines.

The Opportunity:

The Senior AI/ML Data Scientist within the Digital Endpoints and Patient-Centered Solutions (DEPCS) function is responsible for designing, building, and deploying AI-based solutions to enhance clinical trials and accelerate data-driven decision-making in drug development. Collaborating across clinical, data science, and engineering teams, the role contributes to the development of multimodal AI solutions, anchored primarily in sensor time-series and causal inference, with the agility to expand into other modalities like medical imaging. You will act as a key technical and operational anchor, driving sensor data analytics activities to maximize the portfolio impact of measures derived from digital health technologies (DHT).

• You analyze sensor time-series, biological, and clinical data to generate insights supporting decision-making in clinical development
• You transform raw sensor data from varied wearable platforms into interpretable digital measures through robust signal processing, feature engineering, and algorithm development
• You design and implement advanced machine learning algorithms tailored to clinical trial data, ensuring adherence to best software engineering practices, comprehensive documentation, and validation protocols to safeguard scientific rigor.
• You design and apply advanced Causal ML methodologies to clinical trial and observational data to support robust evidence generation and decision-making
• You collaborate cross-functionally with teams including, but not limited to, clinical scientists, digital business leads, biostatisticians, and biomarker leaders, to integrate machine learning models into Roche platforms and clinical workflows
• You present technical insights to both scientific and non-technical audiences and contribute to the publication of findings and to internal knowledge development efforts and also maintain awareness of trends in ML, digital biomarkers, and clinical AI

Who you are:

• You hold an MSc or PhD (preferred) in Computer Science, Machine Learning, Statistics, Electrical Engineering, Biomedical Engineering, or a related field and have 6+ years of experience in machine learning, signal processing or AI in biomedical, pharma, or healthcare innovation settings
• You bring excellent communication, problem-solving, and teamwork skills, with a track record of delivering innovative machine learning solutions aligned with business needs, and the ability to work independently as well as in a cross-functional team
• You have expertise in sensor data analysis and signal processing, causal inference, machine learning, foundation models, statistics, and probabilistic modeling, with exposure to image analysis and computer vision
• You have experience in bridging advanced sensor analytics with rigorous statistical frameworks, including the evalu