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Principle Roles & Responsibilities / Accountabilities
(Major functions of the position)
Algorithm Innovation & Productization
Lead the end-to-end design training validation and continuous iteration of multimodal AI models (CT/MRI/PET-CT genomics/pathology/clinical variables) to enable patient stratification treatment-response prediction and prognosis assessment across diverse clinical scenariosbridging scientific research and commercial products.
Build a full-stack MLOps pipeline that ensures full traceability interpretability and compliance with GCP NMPA Guidelines for the Registration Review of AI Medical Devices and other relevant regulations.
Drive the translation of algorithmic outputs into registrable products; work with Medical Affairs Marketing and other functions to craft regulatory strategies and provide all required technical documentation.
Clinical Trial & Real-World Evidence Support
As the algorithmic expert within the IHS team of Medical Affairs deeply engaged in the protocol design of China-based Phase IIIIV digital oncology trialsdelivering specialized input on statistical hypotheses sample-size calculations imaging/data-endpoint selection subgroup identification and algorithmic design and validation.
Ecosystem Collaboration & Scientific Impact
Leverage the IHS Medical Research Leadership platform to identify and partner with top PIs hospital IT centers imaging-AI companies sequencing vendors and regulatory bodies to create win-win collaboration models.
Co-author publications in high-impact journals (Radiology Nature Medicine MICCAI RSNA) with clinical experts; lead or participate in international and domestic multi-center research consortia and industry-standard initiatives (e.g. DICOM-RT OMOP CDM).
Team Building & Capability Building
Serve as an internal trainer delivering courses on AI in healthcare hands-on radiomics and deep-learning best practices to elevate the digital literacy of Medical Affairs and Sales/Marketing teams.
Qualification and Experience
Education/Qualifications
Masters degree or above in Medical Imaging Biomedical Engineering Computer Science Data Science or related fields (Ph.D. preferred)
Minimum 5 years of experience in medical AI radiomics or medical-imaging algorithm R&D area with at least 3 years of deep involvement in pre-market or post-market projects at a multinational pharmaceutical company medical-device firm or top tier medical-AI enterprise.
Leadership Competencies
Strategic agility
Technical and business expertise
Inspiring and influencing
Teamwork and collaboration
Job Required Competencies
Proficient in Python/R and deep learning frameworks (e.g. TensorFlow/PyTorch); familiarity with medical imaging tools (ITK-SNAP 3D Slicer).
Knowledge of oncology clinical research workflows and data standards (e.g. GCP DICOM).
Strong cross-functional collaboration skills to work with medical experts engineers and regulatory teams.
Prior publications in high-impact journals/conferences is a plus.
Demonstrated expertise in either radiomics or large language model (LLM) application development with end-to-end experience deploying solutions in medical settings.
Familiar with the healthcare software development lifecycle able to manage and guide project-level software development to ensure high-quality delivery.
Travel Frequency
25% - 50%
A healthier future drives us to innovate. Together more than 100000 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.
Lets build a healthier future together.
Roche is an Equal Opportunity Employer.
Full-Time