Sr. Associate Software Engineer - R&D Omics

In this vital role you will be responsible for Research Informatics and you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen. This role requires proficiency in code development (e.g. Python, R, etc), and some knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc). Additionally, the ability to work with cross functional teams and experience in agile practices is desired.

• Develop software to transform and visualize omics (genomics, proteomics, transcriptomics) data using programming languages such as Python, Java, R.
• Develop data processing pipelines for large datasets in the cloud (e.g. Nextflow); integrate with other data sources where applicable
• Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms
• Adhere to best practices for testing and designing reusable code

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

• Masters degree and 1 to 3 years of in Software Development, IT, or related field, OR
• Bachelors degree and 3 to 5 years of in Software Development, IT, or related field, OR
• Diploma and 7 to 9 years of in Software Development, IT, or related field.

Preferred Qualifications:

• 2+ years of experience in biopharma or life sciences
• Experience in RESTFul API development e.g flask, MuleSoft
• Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, etc)
• Experience with Databricks
• Experience with cloud computing platforms and infrastructure
• Experience with Application development (Django, RShiny, Ploty Dash, etc)
• Work experience in the biotechnology or pharmaceutical industry.
• Experience using and adopting Agile Framework

• Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs
• Collaborative with good communication skills.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented with a focus on achieving team goals.