Senior Principal Data Scientist

Job DescriptionPosition SummaryWe are seeking a highly experienced and strategic Principal \Senior Principal Data Scientist to join our team. The ideal candidate will bring 8+ years of hands-on experience in data science, with a proven track record in AI/ML applications within healthcare industry. This role will lead end-to-end AI/ML solution development, collaborate with KOLs, support regulatory submissions (NMPA/FDA), and collaborate cross-functionally to bring impactful AI-driven products to market.Key ResponsibilitiesLead the AI innovation from 0 to 1 involving design, development, validation, and deployment of AI/ML models focused on Vantive solutions (e.g. prescription, diagnostics, decision support, patient monitoring, etc).Collaborate with cross-functional teams including regulatory, clinical, engineering, product, customer service and quality to ensure AI models meet performance, business and compliance requirements.Work closely with local cross-functional teams, global teams, KOLs and 3rd party vendors to deliver AI Solutions.Own AI components in regulatory documentation and submissions, including algorithm description, validation studies, risk assessments, etc.Translate complex healthcare problems into AI-driven solutions with measurable clinical impact.Drive data acquisition, curation, preprocessing, and pipeline optimization for training and validation datasets.Stay current with latest advances in AI/ML, regulatory trends, and healthcare standards.Act as a strategic partner in defining AI product roadmap and innovation strategy.Ability to clean and preprocess healthcare data, including missing data imputation, outlier detection, and feature engineeringRequired QualificationsMSc or PhD in Computer Science, Biomedical Engineering, Data Science, Statistics, or related field.8+ years of professional experience as a AI/ML, including at least 4+ years in healthcare/medical industry.Strong track record of leading or co-leading AI product development from concept to launch.Experience in working on regulatory submissions involving software as a medical device (SaMD), including interaction with regulatory bodies (e.g., NMPA/FDA).Deep understanding of AI/ML methodologies (supervised/unsupervised learning, deep learning, time-series, NLP, etc.).Experience with advanced statistical methods, such as survival analysis, time-series forecasting, Bayesian statistics, and causal inference.Strong programming skills in Python (e.g., scikit-learn, TensorFlow, PyTorch, etc.).Familiarity with healthcare data standards (e.g., HL7, DICOM) and real-world data (EHR, claims, registries).Solid understanding of model validation techniques, cross-validation, and hyperparameter tuning.Advanced experience with SQL and database management for querying and handling large-scale datasets.Ability to deploy models in production environments, using technologies like Flask, FastAPI, or other RESTful API frameworks.Demonstrated ability to communicate complex technical content to cross-functional stakeholders.Experience in AI for diagnostics, remote monitoring, digital biomarkers, or clinical decision support.Publications or patents in applied healthcare AI.Experience in GMLP (Good Machine Learning Practices) and model lifecycle management.Knowledge of data privacy and compliance frameworks (e.g. China Data Privacy, HIPAA, GDPR) and best practices in managing patient data.