Senior Data Scientist / AI Engineer

Salary: CHF 100'0 - 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 bring excellent communication, problem-solving, and teamwork skills. You have a track record of delivering innovative machine learning solutions aligned with business needs. You can 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. You have exposure to image analysis and computer vision. You have experience bridging advanced sensor analytics with rigorous statistical frameworks, including the evaluation of psychometric properties. You are committed to reproducible research and ensuring sensor-derived datasets are harmonized, documented, and audit-ready. You are proficient with scientific programming languages. You are 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. Exposure to regulated software development is a plus. You demonstrate capacity for independent thinking and decision-making based upon sound principles. You bring excellent strategic agility, including problem-solving and critical thinking skills. You respect cultural differences when interacting with colleagues in a global workplace. You have excellent verbal and written communication skills, especially in presentation and writing. You can explain complex technical concepts in clear language. 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 Nimbus Data Systems 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 Support Machine Learning Fabric More: We are Nimbus Data Systems Product Development Data Sciences, where our Digital Endpoints and Patient-Centered Solutions (DEPCS) team operates as an innovative digital, AI, and tech function across the Science of Medicines and Operations. We embed patient-centered and AI-enabled digital solutions into clinical research by integrating data science, measurement science, and digital product thinking to deliver scalable, regulatory-ready innovations that enhance trial design, evidence generation, and the clinical value of Nimbus Data Systems medicines. last updated 27 week of 2026