> Markdown version of [/jobs/ext/2278889-data-scientist-pkdm-ba](https://www.wearedevelopers.com/jobs/ext/2278889-data-scientist-pkdm-ba). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - PKDM-BA - **Company:** Amgen - **Location:** South San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Application Lifecycle Management, Collaborative Learning, System Configuration, Data Warehousing, Database Applications, R (Programming Language), Python (Programming Language), Cloud Services, Scientific Computating, Server Administration, SQL Databases, Cloud Platform System, Build Management, Containerization, Kubernetes, Information Technology, Data Analytics, Data Management, Tools for Reporting, Streamlit Framework, Docker - **Published:** August 28, 2026 - **Apply:** https://www.biospace.com/logon?PipelinedPage=%2Fjob%2F3070929%2Fdata-scientist-pkdm-ba%3FAction%3DContinueJobApplication%23application-form ## About the Role Doctorate degree OR Masters degree and 2 years of Computer Science, Engineering, or equivalent field experience OR Bachelors degree and 4 years of Computer Science, Engineering, or equivalent field experience, * Experience developing or supporting scientific computing environments, analytical tools, or data science platforms. * 2+ years of experience with containerization and orchestration tools (Docker, Kubernetes). * Proficiency in one or more scientific programming languages such as R or Python. * Experience developing and deploying data-driven applications (e.g., R Shiny, Dash, Streamlit, or similar frameworks). * Demonstrated experience accessing data warehouses using SQL. * Familiarity with cloud services such as AWS, as well as experience in on-premises server management. * Understanding of reproducible research practices, software lifecycle management, and FAIR data principles. * Basic understanding of the pharmaceutical industry and pharmacokinetics. * Excellent communication and interpersonal skills, with a collaborative mindset and an eagerness to learn and share knowledge in a fast-paced environment. ## Description Lets do this. Lets change the world. In this vital role you will be responsible for developing, implementing, and supporting scientific computing platforms and shared analytical environments that enable efficient analysis, modeling, and collaboration across the organization. This includes configuring and maintaining core tools and packages, supporting version-controlled workflows, and enabling access to enterprise data sources and cloud-based infrastructure. The successful candidate will contribute to the development of standardized, reproducible, and traceable workflows that promote consistency, scalability, and FAIR data principles. They will work closely with scientists to improve data accessibility, automate routine processes, and deliver tools and applications that accelerate research and development activities., * Develop and maintain scientific computing platforms and shared analytical environments for data analysis and modeling. * Design and implement scalable, reproducible workflows aligned with FAIR data principles and best practices. * Enhance data accessibility and automate processes to improve research efficiency and productivity. * Build and deploy reusable data-driven tools and applications to support scientific research and development. * Collaborate with scientists and cross-functional teams to deliver technical solutions and improve workflows. * Provide training, documentation, and technical guidance, translating complex concepts for non-technical users and fostering a collaborative learning environment. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Database DevOps with Containers](https://www.wearedevelopers.com/videos/145-database-devops-with-containers) ## Related Articles - [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) - [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 Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)