• Analyze large-scale healthcare datasets (medical & pharmacy claims, EHR, labs, SDOH) • Design and execute real-world evidence (RWE) studies • Apply statistical and quasi-experimental methods to evaluate intervention impact • Develop predictive and analytical models to support population health strategies • Analyze patient journeys, care patterns, and provider networks • Identify healthcare disparities and access barriers • Translate analyses into actionable insights for stakeholders

Role Description You will work cross-functionally within Businessolver’s Data Science & Innovation team, partnering with Product Managers, Software and Machine Learning Engineers, Computational Linguists, UX Designers, and Business Partners to deliver end-to-end product features. In this role you will: - Drive Agile project execution across multiple cross-functional teams to support timely delivery - Develop and maintain roadmaps that clearly communicate timelines, scope, risks, and dependencies - Lead and participate in continuous improvement around processes, quality and communication - Facilitate daily scrum events and planning sessions You will gain hands-on experience working on conversational AI, user-centric product design, and internal tooling that supports millions of member interactions. Qualifications - The desire to pursue a career in Program Management, Product Management, or Engineering - Demonstrated experience or comfort using Generative AI tools (e.g., ChatGPT, Claude) in academic, professional, or personal settings - Curiosity about applying Generative AI to improve user experience, automate workflows, or inspire product innovation - Experience analyzing and auditing data leveraging MS Excel, Google Sheets, or other data analytic tools (e.g., Tableau, Python) - A team player who has a track record to collaborate with a diverse group of people with a variety of technical and non-technical backgrounds - Familiarity or experience with the software development lifecycle or with Agile methodology - A passion for learning, solving problems, and seeking answers - Excellent communication, organizational, and time management skills - Minimum of 6-month commitment Requirements - Currently enrolled or recently completed a bachelor’s or master’s in AI, Product Management, Business, Computer Engineering, Data Science, or an equivalent field - Prior experience in project, program or product management or prior experience or education in health care systems - Experience reviewing/coding with Python and SQL - Knowledge of AWS, Azure or other cloud services Benefits - The pay range for this position is $23.40 per hour (pay to be determined by the applicant’s education, experience, knowledge, skills, abilities, balanced against internal equity and competitive market based geographic ranges). - If this position is full-time or part-time benefit eligible, you will receive a comprehensive benefits package which can be viewed here . Company Description Since 1998, Businessolver has delivered market-changing benefits technology and services supported by an intrinsic responsiveness to client needs. The company creates client programs that maximize benefits program investment, minimize risk exposure, and engage employees with easy-to-use solutions and communication tools to assist them in making wise and cost-efficient benefits selections. Founded by HR professionals, Businessolver's unwavering service-oriented culture and secure SaaS platform provide measurable success in its mission to provide complete client delight. Businessolver is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

• Lead end-to-end management, governance, and quality of real world data (RWD) initiatives, serving as the primary point of contact for all Sponsor deliverables, escalations, and timelines • Design and implement robust data governance and quality frameworks tailored to Early Access Programs and broader observational research, including risk identification and mitigation • Ensure consistent mapping, standardisation, and interpretation of real world data elements across geographies, programs, and data sources, including reconciliation of clinical, site-reported, and safety datasets • Develop and maintain Standard Operating Procedures (SOPs), Work Instructions, and data management documentation covering data design, processing, quality control, coding, transfers, and archiving • Build and manage studies within the EDC system, overseeing study specification documents including Data Management Plans, Data Validation Plans, and eCRF Completion Guidelines across all study builds and revisions • Perform ongoing data quality checks, discrepancy management, and issue resolution, while proactively ensuring all program milestones such as data cuts, DBLs, and TFLs are met on time • Ensure full compliance with applicable global privacy and regulatory requirements including GDPR and HIPAA, maintaining audit-ready documentation and version control across all programs • Manage medical coding activities using standard terminologies including MedDRA, WHO Drug, SNOMED, ICD-10, and ATC, and deliver well-documented datasets to support HEOR analyses and regulatory evidence packages • Collaborate cross-functionally with Regulatory, Medical, Compliance, and external vendor teams, supporting sponsor audits, inspections, and RFP processes including bid defence meetings • Drive continuous improvement through automation, standardisation, and tool optimisation, contributing to the evolution of organisational standards for real world evidence in early and expanded access settings

• Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging best‑practice patterns and reference architectures. • Lead pre‑sales and business development efforts by assessing current‑state environments, identifying client pain points, comparing platform options, and justifying ROI for tailored data solutions. • Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprise‑scale architecture decisions. • Serve as the architectural authority during delivery, ensuring governance, quality, and alignment with original scope while acting as an escalation point for delivery teams. • Collaborate with cross‑functional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization. • Mentor and guide data practitioners, leading technical discussions and delivery execution without direct people‑management responsibilities. • Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling.