Reporting And Analytics Manager

Career Category Medical Services ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases and make people s lives easier fuller and longer We discover develop manufacture and deliver innovative medicines to help millions of patients Amgen helped establish the biotechnology industry more than 40 years ago and remains on the forefront of innovation using technology and human genetic data to push beyond what is known today ABOUT THE ROLE Role Description The Senior Medical Data Scientist will play a vital role in supporting Global Medical Affairs by designing and deploying data science solutions including advanced statistical methods predictive modeling and machine learning to deliver meaningful data-driven insights that inform scientific engagement strategic decision-making and patient-focused strategies As a key member of the Medical Data Analytics MDnA team you will translate complex structured and unstructured data into actionable intelligence to inform medical strategy and improve patient outcomes This is a hands-on technical and execution-oriented role that requires both analytical depth and strong problem-solving skills The ideal candidate is an advanced problem solver who combines deep data science expertise hands-on technical skills and a strong ability to mentor motivate and elevate peers This is an opportunity to continuously expand their expertise and take a role in pushing forward innovative analytics such as large language models LLMs and Generative AI Key Responsibilities Design and build high-impact projects that address complex medical questions across therapeutic areas applying advanced data science methods predictive modeling NLP LLMs machine learning causal inference Conduct end-to-end data science projects across structured and unstructured datasets e g HCP sentiment scientific engagement data publications CRM field medical data using Python R SQL Tableau Power BI or similar platforms Drive the design application and evaluation of test-and-learn approaches including causal inference methods advanced A B testing and pilots with accountability for methodological rigor and actionable insights Partner with business leaders and stakeholders to define problem statements set project scope and design and conduct medical data science projects such as MSL engagement optimization MSL note sentiment analysis using LLMs and digital engagement impact measurement turning complex data into insights that enable more effective field medical activities Design and optimize scalable data pipelines in collaboration with engineering teams ensuring reproducibility robustness and compliance in deployment workflows Translate complex model outputs into clear actionable insights and recommendations and deliver compelling presentations reports and visualizations to medical and cross-functional leadership teams Serve as a technical SME subject matter expert in data science providing thought influencing designing and methodology choices across the MDnA team Passion to continuously learn evaluate and introduce emerging technologies e g Generative AI LLMs advanced A B testing frameworks and act as a motivational peer to strengthen Amgen s data science toolbox Maintain best practices in reproducibility documentation version control and model governance across teams Basic Qualifications PhD in Computer Science Engineering Statistics or a related quantitative field and 2 year s of experience in data analytics or data science OR Master s degree in Computer Science Engineering Statistics or a related quantitative field and 5 years of experience in data analytics or data science OR Bachelor s degree in Computer Science Engineering Statistics or a related quantitative field and 7 years of experience in data analytics or data science Experience in data science statistics machine learning or advanced analytics with hands-on application of statistical techniques such as hypothesis testing regression analysis clustering and classification Demonstrated hands-on expertise in data science statistical modeling machine learning advanced predictive modeling NLP or related fields with successful delivery of end-to-end solutions Advanced programming in SQL and Python R a plus comfort working in Databricks or similar environments Strong storytelling and presentation skills ability to translate data into clear compelling insights Preferred Qualifications Life sciences or pharma experience with proven application of data science Deep understanding of machine learning frameworks e g scikit-learn TensorFlow PyTorch Practical experience with LLMs RAG architectures or advanced NLP applications is a strong plus Familiarity with MLflow AWS Git and DevOps-style model deployment workflows Track record of peer mentorship and leadership within technical teams Soft Skills Curiosity adaptability and a passion for continuous learning Motivational influence ability to inspire and elevate the performance of peers Strong problem-solving and critical thinking Effective communication both written and verbal Collaborative mindset and ability to work in a matrixed environment