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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Amgen - **Location:** Washington, DC, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Cloud Computing, Information Engineering, Linux, DevOps, Python (Programming Language), Machine Learning, Technical Data Management Systems, Apache Spark, Git, Information Technology, Production Code, Dask, Machine Learning Operations, Data Pipelines - **Published:** August 13, 2026 - **Apply:** https://www.biospace.com/logon?PipelinedPage=%2Fjob%2F3068190%2Fdata-scientist%3FAction%3DContinueJobApplication%23application-form ## About the Role Ph.D. degree OR Masters degree2 years ofrelated experience, * MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R / Python * A working understanding of common machine learning algorithms and approaches (NNs, RF classifiers, Ensemble methods, NLP etc.) and when to use them. * Proficiency in Linux operating system and associated shell commands. * Experience working effectively in a globally dispersed team environment. * Drug Development (pre-, early, late and/or observational) in related industries or academic research) * Experience working with: + Distributed compute / data technology (e.g., Spark, Python Dask) + DevOps frameworks (e.g., Git) + Building and deploying analytic solutions in a cloud environment * Entrepreneurial mindset with ability to self-direct * A translator able to communicate complex concepts to a non-technical audience ## Description As a Data Scientist, you will design, develop, and implement scalable data engineering, machine learning (ML), and analytics solutions that accelerate Clinical Development and advance therapies for patients. You will act in support the Center for Design & Analysis, partnering with data scientists and cross-functional teams to translate business requirements into robust data pipelines, analytical tools, and visualization solutions. You will contribute to the implementation and continuous improvement of innovative analytics capabilities, helping to optimize methods, algorithms, and processes while ensuring solutions are reliable, scalable, and aligned with Amgen's quality and compliance standards. Responsibilities: * Collaborating with research scientist and other data scientists to develop AI and advanced analytics solution to speed drug research and development. * Designing, writing, and testing data / ML pipelines and other advanced analytic / visualization solutions * Collect business requirements / user stories for new or enhancements to existing analytic solutions * Train users in the use of solutions provided by the CfDA Data Science organization * Contribute to 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. Accountabilities: * Contribute to the implementation of internally developed and externally provided analytic solutions * Participate in the development of innovative and effective approaches to solve client's analytics problems and communicate results & methodologies * Recommend ongoing improvements to methods and algorithms that generate analytic insights ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)