• 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 execute tailored analytical frameworks to extract clear evidence from continuous sensor streams enabling data-driven clinical decision-making
• You design and implement advanced machine learning algorithms tailored to clinical trial data supporting robust evidence generation and decision-making, ensuring adherence to best software engineering practices, comprehensive documentation, and validation protocols to safeguard scientific rigor.
• 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
• You contribute to the publication of findings and to internal knowledge development efforts and 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 signal processing or machine learning in biomedical, pharma, or healthcare innovation settings
• You have expertise in sensor data analysis and signal processing developing algorithms or digital measures for healthcare or clinical research
• You have experience in bridging advanced sensor analytics with rigorous statistical frameworks, including the evaluation of psychometric properties to ensure valid evidence generation and bring excellent communication, problem-solving, and teamwork skills. You demonstrate capacity for independent thinking and the ability to make decisions based upon sound principles
• You are committed to the principles of reproducible research, ensuring that 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 demonstrate respect for cultural differences when interacting with colleagues in the global workplace.

Preferred:

• Preferred experience with wearable device data and preferred skills include Python, R, Git, Scrum, GitLab or Jira, Docker, shell scripting, and Slurm/LSF
• Experience developing or validating ML models for regulated environments or real-world datasets with the ability to deliver validation reports, quality assurance protocols, and technical documentation for submission-ready analytics datasets
• Familiarity with high-performance computing or ML experiment management frameworks and contributions to scientific publications or open-source projects in healthcare AI

This position is based in Basel and relocation assistance is not available

Ready to make your next big move? If this sounds like the perfect fit for you, we’d love to chat! Send us your CV and a cover letter telling us why you’re excited about this role, and apply today!

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.