Medical algorithm & Product Delivery Chapter Leader

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 scenarios—bridging 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 III–IV digital oncology trials—delivering 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 能力与经验

Education/Qualifications

• Master’s 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