• lead the biostatistics, data management, and statistical programming functions across all clinical programs • serve as a core member of the clinical development leadership team, contributing to portfolio strategy, asset prioritization, and program governance • provide statistical leadership for oncology trial design, including adaptive designs, Bayesian approaches, biomarker-driven studies, and complex endpoints (e.g., OS, PFS, ORR, MRD) • guide development strategies from first-in-human through registrational and post-marketing studies • act as the statistical authority in interactions with global regulatory agencies (FDA, EMA, PMDA, etc.) • oversee the statistical and data components of INDs, NDAs, BLAs, MAAs, and responses to regulatory questions • ensure timely, high-quality delivery of statistical analyses, datasets, TFLs, and clinical study reports • oversee CRO and vendor strategy for data management and programming • establish scalable processes, standards, and infrastructure to support a growing oncology pipeline • drive innovation in data review, analytics, and visualization to enable real-time decision-making • build, mentor, and retain a high-performing, multidisciplinary team across biostatistics, data management, and statistical programming • partner closely with Clinical Development, Clinical Operations, Regulatory Affairs, Translational Medicine, Medical Affairs, and Commercial teams.

• Apply statistical and machine learning techniques to solve quantitative problems in the insurance industry • Expand your skills with hands-on training and mentorship from seasoned data scientists • Improve upon quantitative solutions in Claims, Lifetime Value Estimation, or Marketing • Communicate insights from complex analyses to technical and non-technical audiences • Present findings to leaders and stakeholders, showcasing the value of your work • Demonstrate proficiency in data science fundamentals by the end of the program, with the potential to transition into a full-time Data Scientist role

• Lead a multidisciplinary team of data scientists and marketing specialists advancing Root’s mid- and upper-funnel marketing capabilities • Guide a portfolio of greenfield marketing experiments from design through deployment, rigorous measurement, iteration, and scale • Set the long-term direction for marketing R&D, shaping the evolution of Root’s measurement and experimentation capabilities over time • Increase R&D throughput and efficiency by improving experimental design, decision frameworks, and operating processes • Partner closely with leaders across engineering, product, and creative to align roadmaps and translate research into production capabilities • Develop talent on the team through coaching and mentorship, raising the bar for technical rigor, execution quality, and business impact

• Create robust predictive models for use in targeted interventions, using modeling techniques such as LightGBM • Apply principled methods to translate model segmentation gains to improvements in key financial metrics • Learn the required tools to get the job done, e.g., AWS (EC2, SageMaker, S3), Git, etc. • Build data science pipelines to quickly iterate on research ideas and put them into production • Effectively communicate insights from complex analyses • Take end-to-end ownership of problem domains and continuously improve upon quantitative solutions