We're looking for a Senior Data Scientist to shape the future of personalized digital healthcare, building and deploying advanced recommendation models that enhance every step of the patient journey.
Requirements
- Clinical Prediction Models: Design and implement ML models predicting patient outcomes including medication adherence, treatment response, adverse event risk, and clinical deterioration
- Patient Stratification: Build risk stratification models identifying patients who would benefit from clinical interventions, medication therapy management, or enhanced monitoring
- Treatment Optimization: Develop models recommending optimal treatment pathways, medication alternatives, and personalized clinical interventions
- Healthcare ML Best Practices: Ensure models meet healthcare standards for interpretability, clinical validation, and regulatory requirements (FDA guidance on clinical decision support)
- Product-Embedded Analytics: Lead integration of ML models into customer-facing features improving medication management, adherence tracking, and personalized health recommendations
- Patient Journey Optimization: Build models that personalize patient experiences across online consultation, prescription fulfillment, and ongoing medication management
- Real-Time Clinical Insights: Develop streaming ML capabilities providing real-time patient risk alerts and intervention recommendations
- Cross-Functional Product Leadership: Partner with product managers, clinical teams, and engineers to translate model insights into actionable product features
- Production ML Infrastructure: Establish robust MLOps practices using MLFlow, SageMaker, or similar platforms for model versioning, deployment, and monitoring
- Model Performance Monitoring: Implement comprehensive monitoring for model drift, performance degradation, and clinical safety metrics
- A/B Testing & Validation: Design and execute experiments measuring clinical and business impact of ML-driven interventions
- Regulatory Compliance: Ensure ML models meet healthcare regulatory requirements including model documentation, validation, and audit trails
- Data Science Strategy: Define technical roadmap for healthcare ML capabilities supporting product innovation and clinical outcomes
- Team Development: Mentor data scientists and analysts in healthcare analytics, ML best practices, and clinical domain knowledge
- Research & Innovation: Lead exploration of cutting-edge techniques including causal inference, survival analysis, and federated learning for healthcare applications
- Stakeholder Communication: Translate complex ML concepts and clinical insights into clear recommendations for product, clinical, and executive stakeholders
Benefits
- Generous equity allocations with significant upside potential
- 25 Days Holiday (+ all the usual Bank Holidays)
- Private health insurance, along with extra dental and eye care cover
- Pension scheme
- Enhanced parental leave
- Cycle-to-work Scheme
- Electric Car Scheme
- Free Dermatica and MedExpress products every month, as well as family discounts
- Home office allowance
- Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription)
