Senior AI/ML Data Scientist

Salary: CHF 100'000 - 130'000 per year

Requirements:

• You hold an MSc or PhD (preferred) in Computer Science, Machine Learning, Statistics, Electrical Engineering, Biomedical Engineering, or a related field.
• You have 6+ years of experience in machine learning, signal processing, or AI in biomedical, pharma, or healthcare innovation settings.
• 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 bridging advanced sensor analytics with rigorous statistical frameworks, including evaluation of psychometric properties to ensure valid evidence generation.
• You are committed to reproducible research, ensuring sensor-derived datasets are harmonized, documented, and audit-ready.
• You are proficient with scientific programming languages and familiar with high-performance computing infrastructure and machine learning experiment monitoring workflows.
• You have expertise in best software engineering practices and production infrastructure, including MLOps frameworks and Agile, with exposure to regulated software development as a plus.
• You bring excellent communication, problem-solving, teamwork, strategic agility, and critical thinking skills.
• You have the ability to work independently as well as in a cross-functional team.
• You demonstrate respect for cultural differences in a global workplace and can explain complex technical concepts clearly in verbal and written communication.

Responsibilities:

• 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.
• 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 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.
• You contribute to the publication of findings and to internal knowledge development efforts.
• You maintain awareness of trends in ML, digital biomarkers, and clinical AI.

Technologies:

• AI
• Computer Vision
• Fabric
• Support
• Machine Learning

More:

We are Roche Product Development Data Sciences, and this role sits within our Digital Endpoints and Patient-Centered Solutions (DEPCS) team, our innovative digital, AI, and tech function. Operating across the Science of Medicines and Operations, we are 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, we deliver scalable and regulatory-ready innovations that enhance trial design, evidence generation, and the clinical value of Roche medicines.

last updated 27 week of 2026