Senior AI/ML Data Scientist

Roche; Basel; Vor Ort; CHF 140.000 - 190.000; Vollzeit

Zusammenfassung

Roche Basel seeks a Senior AI/ML Data Scientist within DEPCS to design, build, and deploy AI-based solutions for clinical trials using wearable sensor data analysis. You will work with clinical scientists and engineers to deliver robust evidence generation and analytical models for regulatory-ready digital health solutions.

With 6+ years in signal processing or ML in healthcare, you will advance data-driven decisions and contribute to publications while embracing reproducible research and

Qualifikationen

• MSc or PhD in a relevant field with 6+ years in signal processing or ML in biomedical, pharma, or healthcare settings.
• Expertise in sensor data analysis and signal processing for healthcare or clinical research.
• Proven ability to bridge sensor analytics with rigorous statistical frameworks and communicate clearly.

Aufgaben

• Transform raw sensor data from wearables into interpretable digital measures.
• Design analytical frameworks to extract evidence from continuous sensor streams for data-driven decisions.
• Develop and validate advanced ML algorithms for clinical trial data with robust documentation and reproducibility.
• Collaborate cross-functionally with clinical scientists, biostatisticians, and biomarker leads to integrate ML models into Roche platforms.
• Present technical insights to both scientific and non-technical audiences.
• Contribute to publications and stay current on ML, digital biomarkers, and clinical AI trends.

Kenntnisse

Sensor data analysis

Machine learning

Python

R

Git

Docker

Slurm/LSF

Jira

GitLab

MLOps

Agile

Ausbildung

MSc or PhD in Computer Science / ML / Statistics / Electrical Engineering / Biomedical Engineering

Tools

Docker

Git

Slurm

LSF

GitLab

Jira

Jobbeschreibung

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 is anchored primarily in wearable sensor data analysis and machine learning. 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 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

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.

Roche is an Equal Opportunity Employer.