Software Engineer Research Data and Analytics
Description For Software Engineer Research Data and Analytics
Amgen, a pioneering biotechnology company since 1980, is seeking a Software Engineer for their Research Data and Analytics team. This role offers an opportunity to make a lasting impact on patient lives through innovative medicine development. The position involves designing and developing software data and analytics applications that drive critical research decisions. You'll work at the intersection of technology and biotechnology, using modern tech stack including cloud technologies, AI, and full-stack development tools.
The role requires expertise in both front-end and back-end development, with a focus on data analytics applications. You'll collaborate with scientists, business analysts, and other engineers to create scalable software solutions that support Amgen's mission of serving patients with serious illnesses. The position spans multiple therapeutic areas including Oncology, Inflammation, General Medicine, and Rare Disease.
As part of Amgen's award-winning collaborative culture, you'll contribute to both technical development and business outcomes. The role offers exposure to cutting-edge technologies including cloud platforms, containerization, and generative AI. You'll be responsible for the full software development lifecycle, from design to implementation and maintenance, while working in an agile environment.
This is an excellent opportunity for an entry-level software engineer interested in combining technical skills with meaningful impact in the healthcare sector. The position offers hands-on experience with modern development practices, including DevOps, microservices architecture, and automated testing, while working on projects that directly contribute to advancing medical research and patient care.
Responsibilities For Software Engineer Research Data and Analytics
- Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements
- Analyze and translate functional and technical requirements into software architecture
- Develop and implement unit tests, integration tests, and other testing strategies
- Identify and resolve software bugs and performance issues
- Work with multi-functional teams to deliver high-quality software
- Maintain documentation of software designs, code, and development processes
- Integrate with other systems and platforms
- Provide ongoing support and maintenance for applications
- Contribute to both front-end and back-end development using cloud technology
- Develop innovative solutions using generative AI technologies
Requirements For Software Engineer Research Data and Analytics
- Bachelor's degree in Computer Science, IT, Computational Chemistry, or related field (0-3 years experience)
- Proficient in General Purpose High Level Language (NodeJS/Koa, Python, Java, C#.NET)
- Proficient in Javascript UI Framework (React or ExtJs)
- Proficient in SQL (Oracle, PostGres or Databricks)
- Experience in automated testing tools and frameworks
- Strong understanding of cloud platforms (AWS) and containerization
- Experience with DevOps practices and CI/CD pipelines
- Experience with big data technologies
- Strong problem solving and analytical skills
- Excellent communication and interpersonal skills
