Data Science Engineer
US - California - Thousand Oaks - Field/Remote
Amgen
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.Career Category
Clinical DevelopmentJob Description
.
HOW MIGHT YOU DEFY IMAGINATION?
If you feel like you are part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Join us.
Data Science Engineer
Live
What you will do
Let’s do this. Let’s change the world. In this vital role you will advance our, Center for Design and Analysis (CfDA) Data Science team's, mission to provide advanced analytics that inform the scientific & operational design of Amgen's clinical trials and help to unlock new insights from clinical trial patient data…
- Collaborate with data scientists to analyze and select appropriate data models and algorithms that focus on improving clinical trials across multiple therapeutic areas leveraging diverse data.
- Design, write, and test data / ML pipelines and other advanced analytic / visualization solutions.
- Work with public APIs for interacting with LLMs (e.g., LangChain, LlamaIndex, GPT, Anthropic).
- Engineering LLM pipelines.
- Collect business requirements / user stories for new or enhancements to existing analytic solutions.
- Contribute to process improvement initiatives.
- Train users in the use of solutions provided by the CfDA Data Science organization.
- Lead process improvement initiatives.
- Adhere to Amgen Policies, SOPs, and other controlled documents.
- Participate in the development and review of CfDA Data Sciences Policies, SOPs, and other controlled documents.
- Participate in external professional organizations, conferences and/or meetings.
BASIC QUALIFICATIONS
- Doctorate degree OR
- Master’s degree and 2 years of experience OR
- Bachelor’s degree and 4 years of experience OR
- Associate’s degree and 8 years of experience OR
- High school diploma / GED and 10 years of experience
PERFERED QUALIFICATIONS
- Bachelors in Computer Science, Data Science, Informatics, Statistics, Mathematics, Life Sciences, or similar field
- 3+ years of experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist
- Experience developing production quality advance analytic solutions
- An understanding of data structures, data modeling, and software architecture
Win
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The analytical professional we seek is an innovator with these qualifications.
.Salary Range
143,314.00 USD - 169,083.00 USDTags: Anthropic APIs Architecture Computer Science Engineering GPT LangChain LLMs Machine Learning Mathematics Pipelines Statistics
Perks/benefits: Career development Conferences
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