Work closely with cross-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 stakeholders
Basic Qualifications and Experience
Bachelor’s degree with 5 - 9 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field
Preferred Qualifications and Experience
1+ years of experience in implementing and supporting biopharma scientific software platforms
Functional Skills
Must-Have Skills
Proficient in a General Purpose High Level Language (preferably C#, .NET, OOPs based language)
Proficient in SQL (e.g. Oracle, PostGres, Databricks)
Proficient in a Javascript UI Framework (e.g. React, ExtJs)
Experience developing APIs and working on an Event-based architecture (e.g. Mulesoft, AWS EventBridge, AWS Kinesis, Kafka)
Good-to-Have Skills
Strong understanding of software development methodologies, mainly Agile and Scrum
Hands-on experience on Labvantage application
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 the implementation of LIMS/ELN platforms such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc.
Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP)
Professional Certifications (please mention if the certification is preferred or mandatory for the role):
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
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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