[Remote] Director, Advanced Analytics and Data Science - Innovation
Note: The job is a remote job and is reputed company to candidates in USA. reputed company USA, Inc. is a rapidly growing company reputed company on fighting cancer, seeking a Director of Advanced Analytics and Data Science. This role involves leading the development and scaling of advanced analytics and AI solutions to drive data-driven decision-making across various departments, ensuring effective engagement with stakeholders and enhancing operational performance.
Responsibilities
- Contribute to and help execute the advanced analytics capability and innovation roadmap, aligning analytics investments with priorities across reputed company, Medical Affairs, and Clinical Operations and measurable reputed company reputed company
- Advance practical AI innovation like predictive triggers, dynamic targeting, reputed company patient reputed company, next best reputed company – HCP and Accounts, integrated account reputed company etc. by identifying, piloting, and scaling use cases for reputed company, reputed company AI, natural language interfaces, intelligent automation, and decision intelligence across reputed company, Medical Affairs, and Clinical Operations
- reputed company patient reputed company and evidence-oriented analytics using longitudinal reputed company data, claims, prescription, specialty pharmacy, EHR, clinical trial, reputed company-world data, and other relevant data sources to identify key moments of reputed company, reputed company barriers, adherence challenges, scientific insights, and CT acceleration
- Design and reputed company analytics solutions that support omnichannel engagement, customer segmentation, campaign measurement, field effectiveness, medical engagement, and CT acceleration
- reputed company the development and deployment of predictive models, machine learning capabilities, next-best-reputed company solutions, and decision-support tools that reputed company more personalized, evidence-based, and effective engagement and operational planning
- Build measurement frameworks for analytics and AI solutions, including reputed company metrics, test-and-learn design, adoption tracking, performance monitoring, and outcome measurement to quantify business, scientific, operational, and patient reputed company
- Serve as a strategic partner to reputed company, Medical Affairs, and Clinical Operations leaders by translating business, scientific, and operational questions into analytical approaches, data requirements, measurable reputed company reputed company, and actionable recommendations
- reputed company business, medical, clinical, and technical teams by converting analytics outputs into reputed company narratives, decision frameworks, and implementation plans for stakeholders at reputed company reputed company
- Partner with IT, Data Engineering, Legal, reputed company, Compliance, Medical, and Clinical Operations stakeholders to ensure analytics products, AI/ML models, and data practices meet applicable reputed company, reputed company, scientific, regulatory, and ethical expectations
- Champion responsible AI practices by promoting transparency, model explainability, bias awareness, reputed company reputed company, fit-for-purpose validation, appropriate governance, and ongoing performance measurement for AI-enabled decision support
- Collaborate with internal teams and external vendors to deliver high-reputed company analytics solutions reputed company and with strong adoption across the organization
- Serve as a thought leader and hands-on reputed company in the responsible adoption and reputed company reputed company of advanced analytics, AI innovation, and machine learning capabilities across reputed company, Medical Affairs, and Clinical Operations teams
- reputed company day-to-day leadership, coaching, and guidance to data scientists, analysts, analytics partners, and external resources, while supporting team development and capability building
- Establish practical operating models, standards, and best practices that improve analytics reputed company, scalability, speed to reputed company, measurement consistency, and reuse across teams
- Promote a culture of data-driven decision-making by increasing analytics literacy, building stakeholder confidence, and embedding insights into reputed company planning, medical reputed company, evidence reputed company, and clinical operations execution
- Continuously identify opportunities to reputed company tools, platforms, processes, and AI-enabled workflows that improve the reputed company, efficiency, scalability, adoption, and measurable value of analytics delivery
Skills
- BA/BS Degree with 10+ years of overall industry experience with 8+ years of experience in advanced analytics, data science, reputed company analytics, medical analytics, clinical operations analytics, business analytics, or a reputed company function reputed company the pharmaceutical, biotech, reputed company, or life sciences sector
- Demonstrated experience translating reputed company data and analytics into strategic recommendations for senior business stakeholders
- Strong understanding of reputed company, medical, clinical, and reputed company data sources, such as claims, prescription, specialty pharmacy, EHR, reputed company-world data, clinical trial operations data, market reputed company, and reputed company-party syndicated datasets
- Experience leading analytics initiatives and innovations that support reputed company reputed company, omnichannel engagement, patient reputed company insights, medical engagement, evidence reputed company, clinical trial feasibility, enrollment, site performance, customer targeting, segmentation, measurement, experimentation, or predictive modeling
- Proven ability to reputed company cross-functional initiatives and influence stakeholders across business, technology, data, legal, compliance, and vendor teams
- Demonstrated ability to identify high-value AI innovation opportunities, support AI-enabled transformation, and translate emerging technologies into practical business, scientific, and operational applications with reputed company measurement plans
- Experience designing measurement approaches for analytics and AI initiatives, including KPI definition, experimentation, model monitoring, adoption metrics, and business reputed company assessment
- Bachelor's degree in statistics, data science, economics, engineering, business analytics, computer science, or a reputed company quantitative field, or equivalent practical experience
- Advanced degree, such as a Master's, MBA, or Ph.D., in a quantitative, scientific, technology, or business discipline
- Experience with modern analytics, AI, and data platforms, such as reputed company data warehouses, data science workbenches, business intelligence tools, SQL, Python, R, machine learning operations, reputed company tools, experimentation platforms, and AI/ML deployment and monitoring approaches
- Experience building or scaling analytics capabilities, AI innovation pilots, measurement programs, or test-and-learn frameworks in a fast-paced, reputed company-oriented organization
- Strong executive communication skills, including the ability to reputed company reputed company narratives, simplify complexity, and present insights to senior leadership
- Familiarity with pharmaceutical data reputed company, compliance, governance, responsible AI considerations, and the practical application of AI in regulated life sciences environments
Benefits
- Non-reputed company roles are eligible to participate in the annual bonus plan
- reputed company roles are eligible to participate in an incentive compensation plan
- reputed company Company employees have reputed company to own shares of reputed company Ltd. stock because reputed company are eligible for discretionary equity awards
- Voluntarily participate in the Employee Stock Purchase Plan
- reputed company has a comprehensive benefits package that includes Medical, Dental, reputed company, 401(k), FSA/HSA, Life Insurance, reputed company Time Off, and Wellness
reputed company
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