Senior Associate Data Scientist

Career Category

Information Systems

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.

What you will do

Let’s do this. Let’s change the world. In this vital role you will identify trends, root causes, and potential improvements in our products and processes, ensuring that patient voices are heard and addressed with utmost precision. As the Sr Associate Data Scientist at Amgen, you will be responsible for developing and deploying basic 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.

• Collect, clean, and manage large datasets related to product performance and patient complaints.

• Ensure data integrity, accuracy, and accessibility for further analysis.

• Develop and maintain databases and data systems for storing patient complaints and product feedback.

• Analyze data to identify patterns, trends, and correlations in patient complaints and product issues.

• Use advanced statistical methods and machine learning techniques to uncover insights and root causes.

• Develop analytics or predictive models to foresee potential product issues and patient concerns to address customer needs and opportunities.

• Prepare comprehensive reports and visualizations to communicate findings to key collaborators.

• Present insights and recommendations to cross-functional teams, including product development, quality assurance, and customer service.

• Collaborate with regulatory and compliance teams to ensure adherence to healthcare standards and regulations.

• Find opportunities for product enhancements and process improvements based on data analysis.

• Work with product complaint teams to implement changes and monitor their impact.

• Stay abreast of industry trends, emerging technologies, and standard methodologies in data science and healthcare analytics.

• Evaluate data to support product complaints.

• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.

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

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

• Work with data engineers on data quality assessment, data cleansing and data analytics

• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.

What we expect of you

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

Basic Qualifications:

• Master’s degree and 1 to 3 years of Data Science and with one or more analytic software tools or languages, and data visualization tools experience OR

• Bachelor’s degree and 3 to 5 years of Data Science and with one or more analytic software tools or languages, and data visualization tools experience OR

• Diploma and 7 to 9 years of Data Science and with one or more analytic software tools or languages, and data visualization tools experience

Preferred Qualifications:

• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets.

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

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

• Experience with Data Bricks platform for data analytics.

• Experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements.

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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