Sr Data Scientist

About this role

Career Category Operations Job Description Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Sr Data Scientist

What you will do Let’s do this. Let’s change the world. In this vital role you will transform the lives of patients while transforming your career. • Design, develop, and maintain data products, AI-enabled applications, dashboards, and automation solutions using Python, SQL, cloud technologies, and modern development frameworks.

• Build and support Generative AI solutions that automate knowledge-intensive processes, document generation, information extraction, workflow assistance, and decision support.

• Develop and maintain data pipelines, APIs, integrations, and backend services that enable reliable and scalable delivery of data and AI products.

• Design and implement solutions that integrate data from enterprise systems, including clinical, supply chain, manufacturing, quality, and operational platforms.

• Collaborate with business stakeholders to understand requirements, identify opportunities for automation, and translate business problems into technical solutions.

• Build user-facing applications and interfaces that enable business users to access data, insights, AI capabilities, and operational workflows.

• Develop tools that improve operational efficiency by reducing manual work, standardizing processes, and enhancing data accessibility.

• Partner with data engineers, architects, digital technology teams, and business subject matter experts to deliver scalable, maintainable, and secure solutions.

• Support the full product lifecycle, including requirements gathering, solution design, development, testing, deployment, documentation, and sustainment.

• Apply data science, analytics, and AI techniques to generate insights, improve business processes, and support operational decision-making.

• Establish and promote best practices for software development, AI development, source control, testing, documentation, and solution governance.

• Ensure solutions meet data quality, compliance, validation, and governance requirements in a regulated pharmaceutical environment.

• Communicate technical concepts, project updates, recommendations, and business value effectively to technical and non-technical audiences.

• Continuously evaluate emerging technologies, AI capabilities, and digital approaches to identify opportunities for innovation and business impact.

What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications.

Basic Qualifications: Doctorate degree OR Master’s degree and 2 years of Data Scientist experience OR Bachelor’s degree and 4 years of Data Scientist experience OR Associate’s degree and 8 years of Data Scientist experience OR High school diploma / GED and 10 years of Data Scientist experience

Preferred Qualifications: • Experience in pharmaceutical, biotechnology, life sciences, manufacturing, supply chain, quality, or other regulated environments.

• Strong proficiency in Python for application development, automation, data processing, AI solutions, and analytics.

• Strong SQL skills, including complex queries, data modeling, optimization, and large-scale data processing.

• Experience developing AI-enabled applications using Large Language Models (LLMs), Generative AI technologies, prompt engineering, retrieval-augmented generation (RAG), agent-based systems, or related technologies.

• Experience building business applications using frameworks such as Streamlit, Dash, React, or similar web application technologies.

• Experience with Databricks, AWS, Azure, cloud-native services, and modern data platform architectures.

• Experience designing and developing APIs, system integrations, backend services, and data pipelines.

• Experience with ETL/ELT processes, workflow orchestration, data quality monitoring, and automated data processing.

• Experience developing dashboards and analytical solutions using Tableau, Power BI, or similar visualization platforms.

• Knowledge of software engineering best practices including Git, CI/CD, testing, code reviews, and release management.

• Experience working with enterprise operational systems such as SAP, manufacturing systems, quality systems, clinical systems, or supply chain platforms.

• Ability to rapidly prototype, iterate, and deploy solutions in partnership with business stakeholders.

• Demonstrated ability to manage multiple initiatives and deliver solutions in a fast-paced, cross-functional environment.

• Strong problem-solving skills with the ability to structure ambiguous business challenges into practical technical solutions.

• Strong communication and stakeholder engagement skills, including the ability to explain complex technical concepts to business audiences.

• Experience operating as both a technical contributor and product owner, balanci

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