Data Scientist (US Value & Access Insights)

Career Category

Value and Access

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. 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.

Data Scientist (US Value & Access Insights)

What you will do

Let’s do this. Let’s change the world. In this vital role you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities.

Roles & Responsibilities:

Ability to work on upgrades and manage the execution of Proprietary AI engine built to optimize Copay and other GTN initiatives

Ensure models are trained with the latest data and meet the SLA expectations

Act as a subject matter expert in solving development and commercial questions

Work with a global cross functional team on the AI tool’s road map

Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.

Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.

Perform exploratory and targeted data analyses using descriptive statistics and other methods.

Model/analytics experiment and development pipeline leveraging MLOps.

Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights.

Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

Bachelor’s or Master's degree and 3 to 6 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience OR

Experience with one or more analytic software tools or languages like R and Python

Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription

Strong foundation in machine learning algorithms and techniques

Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Preferred Qualifications:

Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)

Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills

Experience with data engineering and pipeline development

Knowledge of NLP techniques for text analysis and sentiment analysis

Experience in analyzing time-series data for forecasting and trend analysis

Experience with AWS, Azure, or Google Cloud

Experience with Databricks platform for data analytics and MLOps

Professional Certifications :

Any AWS Developer certification (preferred)

Any Python and ML certification (preferred)

Soft Skills:

Initiative to explore alternate technology and approaches to solving problems.

Skilled in breaking down problems, documenting problem statements, and estimating efforts.

Excellent analytical and troubleshooting skills.

Strong verbal and written communication skills

Ability to work effectively with global, virtual teams

High degree of initiative and self-motivation.

Ability to manage multiple priorities successfully.

Team-oriented, with a focus on achieving team goals

What you can expect of 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.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. Join us.

careers.amgen.com

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.

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