AI & Real World Analytics Senior Manager

General Summary The AI and Real-World Analytics Senior Manager will play a pivotal role in leading and advancing the RWA team’s AI and automation capabilities. This role focuses on driving the development and optimization of real world data analysis processes, generating data expertise, actionable insights, and optimal use strategies to support business objectives. The position identifies opportunities to enhance automation, standardization, and simplification, partners with leadership to prioritize them, gathers requirements, and builds agents using low/no code solutions or partners with Data, Technology, and Engineering (DTE) to develop and deploy advanced AI solutions. Key Duties And Responsibilities Lead the design, execution, and delivery of Real-World Evidence (RWE) analysis projects, incorporating AI/ML methodologies. Optimize and complete processes such as analytics project workflows and data source intake and hosting workflows by identifying inefficiencies and implementing AI/ML‑driven solutions in partnership with DTE. Streamline project management processes, including request handling, execution, and delivery, to automate task tracking, resource allocation, and communication at key milestones. Enhance and standardize process documentation, utilizing AI/ML algorithms to identify common gaps in analytic programs and recommend optimal practices for improved outcomes. Identify automation opportunities for tasks like database analysis plan (DAP) validation, medical code list searching, programming plan and code generation, quality control, and result cross‑checking, and manage and support internally‑developed AI solutions, including access, runbooks, and operational workflows. Apply advanced AI/ML techniques to generate deep insights from real‑world data (RWD), including benchmarks, representativeness, gaps, and overlaps, and propose innovative solutions to address data capability limitations. Partner with the Digital Technology and Engineering (DTE) team to understand the company’s AI/ML environment and recommend innovative tools and approaches to improve the RWA team’s efficiency and analytical capabilities, and work closely with DTE AI Engineering and AI Operations to establish and implement best practices, standards, and observability. Work with DTE to design and execute comprehensive AI/ML model validation strategies, including data splitting, metric selection, cross‑validation, robustness testing, fairness audits, and post‑deployment monitoring. Provide training and technical support to end users for effective adoption and utilization of AI and automation solutions. Shape the technical strategy of the Real‑World Analytics group by providing thought leadership, guiding the adoption of cutting‑edge technologies, and encouraging a culture of creativity and continuous improvement within the team. Strong understanding of Generative AI ethics and governance frameworks: demonstrate knowledge of ethical considerations, responsible AI practices, and governance frameworks related to the development, deployment, and use of Generative AI tools, including awareness of potential biases, data privacy concerns, transparency, accountability, and compliance with relevant regulatory and industry standards. Knowledge And Skills Strong knowledge and hands‑on experience in data science and AI/ML methodologies, including supervised, unsupervised, and reinforcement learning, as well as machine learning algorithms such as neural networks and random forests. Experience designing, deploying, and supporting AI applications using AWS, GCP, and Azure engineering ecosystems, with specific expertise in Azure AI Foundry. Proficiency in statistical programming languages such as Python, SQL, SAS, and R, with familiarity in working within AWS computational environments. Knowledge of healthcare claims and electronic health record (EHR) data, with exposure in major U.S. real‑world data (RWD) sources. Knowledge of statistical modeling and observational research. Strong problem‑solving and analytical abilities. Excellent communication skills for collaborating with stakeholders and bridging technical and domain teams. Experience working in a fast‑paced environment. Education And Experience Advanced degrees in epidemiology, biostatistics, math, data science, or similar disciplines required. Minimum 5 years of experience working in observational research within the life sciences industry or relevant academic, government, or consulting environment, with at least 3 years of experience in AI/ML related data engineering and automation. Pay Range $148,900 - $223,300 Disclosure Statement The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job‑related factors permitted by law. Benefits include medical, dental, vision, paid time off, educational assistance, commuting subsidy, charitable donation matching, 401(k), and more. Flex Designation Hybrid‑Eligible or On‑Site Eligible Flex Eligibility Status Hybrid: work remotely up to two days per week. On‑Site: work five days per week on site with ad‑hoc flexibility. Company Information Vertex is a global biotechnology company that invests in scientific innovation. Equal Employment Opportunity Statement Vertex is committed to equal employment opportunity and non‑discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E‑Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at View email address on click.appcast.io. #J-18808-Ljbffr Vertex Pharmaceuticals