Advanced Analytics, AI & Automation Lead

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Advanced Analytics, AI & Automation Lead based in the United States. The Advanced Analytics, AI & Automation Lead will drive the development of intelligent analytical solutions and automation capabilities that enhance clinical development and biometrics operations. This role combines advanced analytics, scientific computing, artificial intelligence, and product delivery to transform complex scientific and operational challenges into scalable technology solutions. Working across Biometrics, Clinical Development, IT, and business functions, you will translate stakeholder needs into practical tools that improve efficiency, quality, and decision-making. You will identify opportunities for AI adoption, lead experimentation with emerging technologies, and oversee the delivery of production-ready analytical products. As a strategic advisor and technical leader, you will also promote responsible innovation, mentor technical talent, and support the organization's evolution into a technology-enabled, data-driven environment. This is an opportunity to contribute to meaningful advances in clinical development while working in a flexible, collaborative, and science-driven setting. Accountabilities: The Advanced Analytics, AI & Automation Lead will shape analytical strategy and deliver technology-enabled improvements across biometrics and clinical development. The role requires close collaboration with scientific, technical, and operational stakeholders to identify opportunities, develop scalable solutions, and demonstrate measurable business value. Key responsibilities include: • Apply advanced statistical methods, machine learning, simulation, and analytical techniques to solve complex statistical, clinical, commercial, and operational challenges. • Partner with cross-functional teams to identify opportunities where advanced analytics can improve business understanding, operational efficiency, and decision-making. • Develop reusable analytical methodologies, frameworks, and solutions that can be applied across multiple studies and development programs. • Identify and assess opportunities to leverage generative AI, advanced analytics, and automation technologies to improve business processes. • Lead experimentation, proof-of-concept development, and prototyping initiatives to evaluate emerging technologies and determine their organizational suitability and business value. • Promote the responsible, compliant, and effective adoption of AI-enabled capabilities across Biometrics and Data Science. • Translate scientific, regulatory, operational, and technical requirements into product roadmaps, software specifications, and implementation plans. • Improve the speed, quality, and reproducibility of biometrics and clinical development workflows through scalable, technology-driven solutions. • Collaborate with functional leaders to redesign business processes and operating models, maximizing the value of technology investments. • Establish performance metrics and value-realization frameworks to measure and demonstrate the impact of analytics, AI, and automation initiatives. • Drive the adoption of new tools and workflows through stakeholder engagement, training, and effective change management. • Act as a trusted advisor on analytical strategy, AI adoption, and automation opportunities. • Mentor and develop technical talent within the Applied Intelligence organization. • Foster a culture of scientific rigor, innovation, experimentation, and continuous improvement. Requirements: The ideal candidate brings 5–8 years of experience developing analytical solutions, scientific computing applications, or data products, preferably within pharmaceutical, biotechnology, healthcare, or other regulated industries. They combine strong technical expertise in analytics and AI with product delivery capabilities, strategic thinking, and the ability to influence cross-functional stakeholders. Additional qualifications include: • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Informatics, Life Sciences, or a related discipline. • Advanced degree (MS, PhD, or equivalent) is preferred. • 5–8 years of relevant experience developing analytical solutions, scientific computing applications, or data products within pharmaceutical, biotechnology, healthcare, or other regulated environments. • Demonstrated ability to translate scientific or business requirements into scalable software, analytical products, and operational capabilities. • Experience leading cross-functional initiatives involving analytics, technology, and business stakeholders. • Proven experience deploying production-grade analytical applications, decision-support tools, or automation solutions. • Experience working in GxP-regulated or highly governed environments is preferred. • Strong understanding of artificial intelligence, machine learning, advanced analytics, automation, and modern data platforms. • Proficiency in analytical and programming environments such as Python, R, SAS, SQL, or equivalent technologies. • Familiarity with cloud, data, and technology ecosystems supporting advanced analytics and intelligent systems. • Strategic mindset with the ability to connect technology investments to measurable business outcomes. • Strong stakeholder management and influencing skills, including the ability to build alignment across diverse teams without relying on direct authority. • Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable business insights. • Ability to balance innovation and experimentation with practical implementation and operational execution. • Self-directed, results-oriented approach, with the adaptability to succeed in dynamic and evolving environments. Benefits: • Annual base salary of