Work with cross-business unit Clinical Operations DA-level workgroups, Clinical Operations leaders, project/study teams, and lifecycle teams to understand business needs and priorities, as well as immediate scope of work. - Independently deliver on increasingly complex portfolio analytics projects that support Clinical Operations planning and disease area strategies. - Partner with software engineers and data scientists to translate Clinical Operations questions into analytics products, AI-enabled solutions, and consumable insights for stakeholders. - Perform advanced data analysis, forecasting, and landscape analysis to support clinical operational planning, including patient recruitment strategies, enrollment forecasting, country footprint, and clinical site selection. - Utilize fit-for-purpose methodologies, including predictive modeling, ML/ AI, and scalable prototypes, to analyze complex data, including Real World Data and internal data, interpret results, measure project/study performance, and support portfolio-level decisions. - Identify, interpret, and communicate the effects that trial design elements, country and site selection, competitor activities, and new engagement tactics may have on clinical trial recruitment, retention, and enrollment forecasts. - Contribute to relevant data science and analytics projects, support implementation through the product development cycle, and help ensure successful adoption and impact. - Collaborate with cross-functional stakeholders and SMEs from across business units in global workstreams; contribute analytics expertise and technical knowledge to the development of aligned strategies and tools. - Identify and implement solutions to address complex analytical challenges and opportunities for continuous improvement; engage managers and peer groups regularly for coaching, assistance, and advocacy. - Consult with IT service, software engineering, and data governance teams to clarify data and technology needs. Support internal and/or external team members to acquire, aggregate, and curate data and information. Who You Are: - Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Life Sciences, Public Health, or a related field; graduate-level degree preferred. - 3 years of experience with Bachelor’s; 1 years with Master’s; or equivalent combination of education and experience, in Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Advanced Data Analytics, Information Visualization, Data Science, AI/ ML-enabled analytics solutions, Clinical Operations, or the pharmaceutical/biotech industry. - Experience working with and engaging Clinical Operations stakeholders, project/study teams, and cross-functional partners to understand business needs and prioritize analytical work. - Experience working with SMEs from cross-business units to understand and diagnose business problems, as well as using data-driven methods to analyze and solve business situations. - Experience independently delivering complex data analysis, forecasting, landscape analysis, or analytics projects that support clinical operational planning. - Experience with scripting and analytical programming preferred, such as Python, R, SQL, JavaScript, or other JavaScript-based libraries. - Experience working with software engineering teams to develop analytics products, dashboards, prototypes, APIs, data pipelines, or AI/ ML-enabled solutions preferred. - Knowledge of Snowflake/cloud architecture, data modeling concepts, and various forecasting methods and techniques preferred. - Knowledge of Clinical Operations analytics, including clinical trial landscaping, enrollment forecasting, recruitment and retention analytics, country and site selection, and/or RWD/ RWE applications preferred. - Able to work effectively in a matrix environment, manage multiple priorities, and re-prioritize work on short notice with appropriate guidance. - Strong written and verbal communication skills, with the ability to communicate complex analytical findings to both technical and non-technical audiences. Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships. Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.