Senior Data Science Engineer Opportunity at Amgen

Welcome to a career that defies imagination! If you want to be part of something bigger, then Amgen is the place for you. Our mission to serve patients drives us to be one of the world's leading biotechnology companies. Join us as a Senior Data Science Engineer and be part of a global effort that reaches over 10 million patients worldwide.

About the Role

In this vital role, you will advance our Center for Design and Analysis (CfDA) Data Science team's mission. You'll provide advanced analytics to inform the scientific and operational design of Amgen's clinical trials and help unlock new insights from clinical trial patient data.

Primary Responsibilities

• Collaborate with data scientists to analyze and select the appropriate data models and algorithms to improve clinical trials across multiple therapeutic areas using diverse data.
• Design, write, and test data/ML pipelines and other advanced analytic/visualization solutions.
• Familiarity with public APIs for interacting with LLMs (e.g., LangChain, LlamaIndex, GPT, Anthropic).
• Lead the implementation of internal and external analytic solutions.
• Coordinate and manage the delivery and development of data/ML pipelines and other advanced analytic/visualization solutions.
• Provide business ownership for the Data Science Tools and Data Analysis Platform(s) used by CfDA.
• Collect business requirements/user stories for new or enhanced analytic solutions.
• Mentor junior Data Science Engineers and provide technical oversight and guidance to other team members.
• Represent the CfDA Data Science function in multidisciplinary project team meetings.
• Train users in the solutions provided by the CfDA Data Science organization.
• Lead process improvement initiatives.
• Adhere to Amgen Policies, SOPs, and other controlled documents.
• Participate in external professional organizations, conferences, and meetings.

Qualifications

Basic Qualifications:

• Doctorate degree and 2 years of experience OR Master’s degree and 4 years of experience OR Bachelor’s degree and 6 years of experience OR Associate’s degree and 10 years of experience OR High school diploma/GED and 12 years of experience in Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist roles

Preferred Qualifications:

• Proven experience in developing production-level advanced analytic solutions.
• Understanding of data structures, data modeling, and software architecture.
• Ability to write robust code in R/Python.
• Understanding of common machine learning algorithms and when to use them.
• Proficiency in Linux operating system and associated shell commands.
• Ability to communicate complex concepts to a non-technical audience.
• Experience working in teams and mentoring junior team members.
• Experience in a globally dispersed team environment.
• MS or PhD in Computer Science, Data Science, Informatics, Statistics, Mathematics, Life Sciences, or related field.
• 5+ years of experience in relevant roles.
• Knowledge of industry data standards (e.g., CDISC SDTM, CDISC ADaM, HL7 BRIDG, OMOP).
• Experience in drug development and academic research.
• Understanding of distributed compute/data processing technology (e.g., Apache Hadoop, Spark, Hive, Python Dask).
• Hands-on experience with Databricks or Apache Spark and understanding best practices.
• Expertise in version control (e.g., Git).
• Experience building and deploying analytic solutions in a cloud environment.
• Experience in a regulated environment.
• Entrepreneurial mindset with ability to self-direct.

What We Offer

At Amgen, we prioritize the professional and personal growth and well-being of our teammates.

• Vast opportunities to learn and advance within our global organization.
• A diverse and inclusive community where ideas are welcomed and valued.
• A Generous Total Rewards Plan comprising health, finance, work/life balance, and career benefits.