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Sr Data Scientist

Amgen · 2 Locations

Full-timeOn-sitePosted 22 July 2026
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Job description

Career CategoryOperationsJob DescriptionJoin 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 doLet’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 youWe 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, balancing technology decisions with business priorities. Passion for applying AI, automation, analytics, and software engineering to solve real-world business problems. What you can expect from usAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team.careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. SponsorshipSponsorship for this role is not guaranteed. As an organization dedicated to improving th

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