Amgen Inc logo

Sr Data Scientist

Amgen Inc
  • Los Angeles, CA
    30+ days ago

    Job Description

    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, 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 us

    As 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.

    Sponsorship

    Sponsorship for this role is not guaranteed.

    As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

    Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

    We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

    .

    Salary Range

    134,168.25USD -181,521.75 USD

    Numbers & Facts

    LocationLos Angeles, CA
    IndustryBiotechnology/Pharmaceuticals
    Company Size10,000 employees or more
    Websitehttp://www.amgen.com

    About Company

    At Amgen, we believe in a “biology first” approach. We use cutting-edge science and technology to study the subtlest biological mechanisms in search of therapies that will improve the lives of those who suffer from serious diseases. Amgen believes the cure for disease can be found inside each and every one of us.

    Skills

    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Best Practicesunmatched
    • Biologyunmatched
    • Biotech and Pharmaceuticalunmatched
    • Cancerunmatched
    • Clinical Information Systemsunmatched
    • Cloud Computingunmatched
    • Code Reviewsunmatched
    • Communication Skillsunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Decision Supportunmatched
    • Diseaseunmatched
    • Documentationunmatched
    • Emerging Technologyunmatched
    • Enterprise Data Integrationunmatched
    • Gitunmatched
    • Healthcare Qualityunmatched
    • Inflammatory Diseasesunmatched
    • Manufacturingunmatched
    • Manufacturing Systemsunmatched
    • Medical Productsunmatched
    • Medicineunmatched
    • Obesityunmatched
    • Oncologyunmatched
    • Operational Improvementunmatched
    • Operational Strategyunmatched
    • Operational Supportunmatched
    • Power BIunmatched
    • Problem Solving Skillsunmatched
    • Process Improvementunmatched
    • Product Lifecycleunmatched
    • Product Supportunmatched
    • Prototypingunmatched
    • Python Programming/Scripting Languageunmatched
    • Quality Monitoringunmatched
    • Release Management/Engineeringunmatched
    • Reporting Dashboardsunmatched
    • Requirements Managementunmatched
    • Requirements Validation/Verificationunmatched
    • SAPunmatched
    • SQL (Structured Query Language)unmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Source Code/Configuration Management (SCM)unmatched
    • Supply Chainunmatched
    • System Integration (SI)unmatched
    • Tableauunmatched
    • Team Playerunmatched
    • Test Plan/Scheduleunmatched
    • Testingunmatched

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