• Collaborate in the development and application of advanced AI/ML methods, including cutting-edge computer vision techniques applied to ophthalmic imaging data (e.g., Optical Coherence Tomography and fundus images), to uncover disease mechanisms and identify novel biomarkers. • Collaborate in the development and validation of novel digital endpoints. • Engage with regulatory stakeholders to ensure these innovations enhance clinical trial design, improve patient monitoring and care pathways, and meet regulatory requirements. • Develop and apply sophisticated statistical models using real-world and clinical data to generate insights into disease progression, treatment outcomes, and patient stratification. • Leverage longitudinal disease modeling, Bayesian methodologies, and causal inference techniques to inform decision-making. • Apply emerging generative AI approaches to boost data analysis and knowledge discovery, integrating diverse multimodal datasets (imaging, clinical, wearable, etc.) for a more holistic understanding of ophthalmic diseases. • Partner with Clinical Development and Medical Affairs to integrate RWE into evidence generation strategies. • Support trial optimization and regulatory submissions by incorporating insights from large-scale clinical datasets, electronic health records (EHRs), and other real-world data sources. • Build strong cross-functional collaborations within the company and spearhead external partnerships with academic institutions, technology providers, regulators, and industry consortia.

• We are seeking a visionary Director, R&D Neuroscience Data, Data Science & Artificial Intelligence – Ophthalmology to join the Neuroscience Data, Data Science & Artificial Intelligence (DDSAI) team. • This leader will shape and execute innovative strategies leveraging multimodal data sources, digital health technologies, computer vision, artificial intelligence (AI), and clinical/real-world evidence (RWE) to accelerate drug discovery and development, and maximize patient impact. • By combining ophthalmology expertise with strong data science acumen, this role will enhance clinical trial execution and ensure that new solutions are patient-centric and ready for regulatory and payer acceptance. • As an integral member of a highly matrixed team, the Director will collaborate with cross-functional experts in the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory Affairs, and Patient-Reported Outcomes, and forge strategic external partnerships to infuse new ideas and capabilities. • This is a unique opportunity to redefine how we understand and treat eye diseases—uncovering novel digital biomarkers and endpoints, stratifying patients for more personalized care, and ultimately delivering better outcomes for people living with ophthalmic diseases.

• Lead and develop a team of IC data scientists — set direction, unblock work, run 1:1s, and grow each person's scope and impact • Own POC/POV delivery — partner directly with enterprise customers to demonstrate fraud-loss reduction and platform ROI, from first data pull through to stakeholder readout • Stay hands-on in the technical work — build or review ML models, conduct in-depth fraud analyses, and ship production-grade solutions alongside your team • Define and track performance metrics — design dashboards and reporting frameworks to measure the effectiveness of risk strategies across clients • Translate client problems into data solutions — act as a senior point of contact for fraud challenges, turning complex findings into clear recommendations • Partner cross-functionally with Engineering, Product, and GTM to scope work, influence the roadmap, and ensure fraud solutions and models get instrumented and scaled correctly • Drive experimentation — support A/B testing to safely validate new strategies before full rollout • Raise the bar on craft — mentor IC data scientists on modeling rigor, storytelling with data, and client communication

Role Description The Senior Data Scientist at RGA plays a pivotal role in pioneering advanced machine learning (ML) and generative AI (GenAI) solutions that drive innovation in the insurance and reinsurance industry. Leveraging deep technical expertise, this leader independently architects and implements sophisticated analytical models to solve high-impact business challenges, powering RGA’s data-driven transformation. - End-to-End Modeling: Design, develop, and deploy sophisticated machine learning models that address mission-critical business challenges, including underwriting automation, pricing optimization, and claims analytics. - GenAI Solution Development: Lead the end-to-end development and implementation of generative AI solutions, leveraging large language models (LLMs) for advanced document processing, automated content creation, and streamlining repetitive business processes. - Technical Leadership: Serve as a technical authority and mentor for colleagues, providing expert guidance on best practices in machine learning modeling, code development, and solution architecture. - Project Leadership: Lead and manage small-scale projects, including defining scope and objectives, developing project plans, allocating resources, and coordinating activities across cross-functional teams. - Data Pipeline Architecture: Architect, develop, and maintain robust, automated data pipelines and ETL processes in partnership with data engineering teams. - Stakeholder Communication: Effectively communicate complex analytical findings, model insights, and actionable recommendations to a wide range of stakeholders. - Model Governance: Champion and enforce rigorous model governance practices by conducting thorough model validation, ongoing monitoring, and comprehensive documentation. Qualifications - Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field; OR a Bachelor's degree with equivalent experience. - 5-7 years of progressive experience in data science and machine learning. - Demonstrates a deep understanding of advanced statistical techniques, such as regression analysis, hypothesis testing, time series analysis, and multivariate statistics. - Possesses advanced proficiency in Python and/or R, leveraging these languages for data manipulation, statistical modeling, and deployment of machine learning solutions. - Hands-on experience implementing GenAI technologies, including large language models (LLMs) for natural language processing and understanding. - Expertise in using SQL for querying, transforming, and aggregating data from relational databases. - Exhibits excellent problem-solving skills, approaching challenges creatively and analytically. - Effectively communicates difficult or sensitive information to diverse stakeholders. - Serves as a force multiplier for the team by mentoring junior members and providing guidance on technical challenges. - Demonstrates a strong understanding of key business drivers, market dynamics, and organizational priorities. Requirements - Ph.D. in a related quantitative field (preferred). - Experience in the life/health insurance or reinsurance industry (preferred). - Experience working with Databricks, Snowflake, and AWS tech stacks (preferred). - Experience working with large longitudinal datasets using actuarial methods of analysis (preferred). Benefits - Gain valuable knowledge from and experience with diverse, caring colleagues around the world. - Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. - Join the bright and creative minds of RGA, and experience vast, endless career potential. Compensation Range $126,710.00 - $188,840.00 Annual. Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. Company Description RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions.