Sr Associate Software Engineer - Biological Studies @ Amgen Inc

Sr Associate Software Engineer Biological Studies (In Vitro)

What you will do

In this vital role you will responsible for designing, developing, and maintaining software solutions for Research scientists. Additionally, it involves automating operations, monitoring system health, and responding to incidents to minimize downtime. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms that enable the capture, analysis, storage, and report of in vitro assays and in vivo / pre-clinical studies as well as those that manage compound inventories / biological sample banks. The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full stack software engineering experience (spanning SQL, back-end, front-end web technologies, automated testing).

Roles & Responsibilities:

• Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements
• Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications
• Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software
• Identify and resolve software bugs and performance issues
• Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time
• Maintain detailed documentation of software designs, code, and development processes
• Customize modules to meet specific business requirements
• Work on integrating with other systems and platforms to ensure seamless data flow and functionality
• Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently
• Possesses strong rapid prototyping skills and can quickly translate concepts into working code
• Contribute to both front-end and back-end development using cloud technology
• Develop innovative solution using generative AI technologies
• Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
• Identify and resolve technical challenges effectively
• Stay updated with the latest trends and advancements
• Work closely with product team, business team including scientists, and other collaborators

Basic Qualifications:

• Masters degree and 1 to 3 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
• Bachelors degree and 3 to 5 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
• Diploma and 7 to 9 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field
• Proficient in a General-Purpose High Level Language (e.g. Python, Java, C#.NET)
• Proficient in a Javascript UI Framework (e.g. React, ExtJs)
• Proficient in SQL (e.g. Oracle, PostGres, Databricks)
• Experience with event-based architecture (e.g. Mulesoft, AWS EventBridge, AWS Kinesis, Kafka)

Preferred Qualifications:

• 1+ years of experience in implementing and supporting biopharma scientific software platforms

Functional Skills:

• Strong understanding of software development methodologies, mainly Agile and Scrum
• Hands-on experience with Full Stack software development
• Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes)
• Working experience with DevOps practices and CI/CD pipelines
• Experience with big data technologies (e.g., Spark, Databricks)
• Experience with API integration, serverless, microservices architecture (e.g. Mulesoft, AWS Kafka)
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
• Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation)
• Experience with version control systems like Git
• Experience with automated testing tools and frameworks
• Experience with Benchling

Professional Certifications

• AWS Certified Cloud Practitioner preferred

Soft Skills:

• Excellent problem solving, analytical, and troubleshooting skills
• Strong communication and interpersonal skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to learn quickly & work independently
• Team-oriented, with a focus on achieving team goals
• Ability to manage multiple priorities successfully
• Strong presentation and public speaking skills