Walmart - Bentonville, AR
posted 2 months ago
The Director of Healthcare Research Analytics will be responsible for leading data management and analysis of large, real-world healthcare datasets while mentoring team members. This leadership position will require you to work collaboratively with cross-functional teams and shape the future of our analytics capabilities. You will execute tasks such as predictive modeling, regression analyses, time-to-event analyses, and comparative effectiveness analyses independently, fostering skill development within the team. This role is pivotal in driving our organization towards a data-driven future, ensuring that the analytics architecture and platform serve as a catalyst for better business insights and an enhanced patient experience. In this position, you will lead the conceptual design and development of the WHRI analytics data model, serving as the liaison between the technical staff and business stakeholders. A successful candidate should be an analytics-minded, hands-on individual with a solid understanding of technical buildouts, strong leadership skills, an entrepreneurial spirit, and a keen interest in healthcare. Curiosity and passion for automation, data management, digital data, and new technologies are essential. Your primary day-to-day tasks will include working with teams across initiatives to gather requirements and information on workstreams that can be streamlined, developing complex buildout blueprints, coordinating technical work, and communicating with key stakeholders. You will also deliver expert leadership in analytical and statistical programming to support medical evidence generation throughout pharmaceutical development stages. Ensuring the production of accurate and scientifically valid results by leveraging extensive experience and proficiency will be crucial. You will establish guidelines and workflows to ensure data quality and methodological rigor in medical evidence generation, focusing on data management, preparation, cleaning, execution, and documentation. Possessing a deep understanding of various types of real-world data, including their strengths and limitations, will be vital as you implement appropriate analytical steps for different use cases, leveraging modern cloud data warehouse and engineering tools like BigQuery, Snowflake, and others. Your role will also involve leveraging modern analytical platforms and tools for statistical programming, including Python, R, and SAS, applying conventional analytics techniques such as regressions, time-to-event analysis, propensity score matching/weighting, and advanced analytics like machine learning and artificial intelligence. You will utilize your expertise in clinical programming paradigms, including CDISC and ADaM standards, to ensure adherence to industry best practices in data management, preparation, and documentation. Integrating this knowledge into the development of workflows and guidelines will enhance the quality and reliability of medical evidence generation processes. Additionally, you will work across platforms and environments, writing scripts to integrate workflows seamlessly, collaborating with departments to foster synergies and optimize research processes. Mentoring less-experienced associates on complex methodologies and their implementation, as well as drafting supporting documentation and how-to guides, will be part of your responsibilities. You will also provide visionary scientific leadership in data-driven solutions, particularly focusing on diversity and equity, driving initiatives that prioritize inclusivity and equity in healthcare research. Overall, you will analyze business objectives and customer needs, developing, communicating, building support for, and implementing business strategies, plans, and practices. You will also develop and implement strategies to attract and maintain a highly skilled and engaged workforce, cultivate an environment where associates respect and adhere to company standards of integrity and ethics, and develop and leverage internal and external partnerships and networks to maximize the achievement of business goals.