• Lead the data science behind our Student Journey Platform • Build cutting edge machine learning models and own the end-to-end lifecycle of production ML models powering predictive and conversational AI experiences • Drive next best action, propensity, and intervention models from discovery through deployment • Architect frameworks to extract high-signal insights from voice, text, and behavioral interaction data • Drive the experimentation roadmap (A/B testing, feature rollouts, behavioral studies) • Partner with Product and Engineering to define technical success metrics • Distill complex technical outcomes into compelling narratives that drive alignment and action

• Contribute to the development and optimization of analysis modules used to support clinical trial decision-making. • Collaborate with data scientists to refine workflows that integrate proteomics, clinical endpoints, and biological interpretation. • Develop pathway enrichment approaches tailored to SomaScan and Olink proteomic platforms. • Incorporate causal mediation analysis methods into the clinical omics framework. • Evaluate how treatment interventions may influence clinical outcomes through intermediate molecular changes.

• Develop and implement the company’s data science strategy • Identify opportunities to leverage data for business value • Take responsibility for the full technical stack for development and deployment • Design, build and maintain scalable machine learning models and efficient data pipelines • Collaborate with cross-functional teams to gather requirements

The Faculty Advisor for Sciences is a key member of the Faculty Advisory Team within the Pearson North America Higher Education Customer Success Organization. They will strategically identify and partner with key course-level administrators, acting as a pedagogical and subject-matter expert on the alignment of Pearson digital products with instructors’ learning objectives and student outcomes. Expertise and experience in teaching Physics at the college or university level Expert-level knowledge of Pearson digital implementation models within courses related to their own teaching/research field Investigate and respond to questions, offering tailored responses to specific audiences and purposes Develop and utilize a set of milestones to effectively track growth and success Collaborate with other teams to provide insights and feedback from the perspective of an instructor Equip faculty at pre-identified accounts with necessary skills and information to maximize the impact of Pearson digital products Facilitate face-to-face and virtual trainings or workshops Create implementation-specific product tutorials or videos