Senior Principal Data Scientist

Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients— that is what Vantive aspires to deliver.

We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us. At Vantive, you will become part of a community of people who are focused, courageous and don’t settle for the mediocre. Each of us is driven to help improve patients’ lives worldwide. Join us in advancing our mission to extend lives and expand possibilities.

Position Summary

We 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 Responsibilities

• Lead 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 engineering

Required Qualifications

• MSc 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.

Reasonable Accommodation

Vantive is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Form Link

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