Specialist Software Engineer - R&D Omics

What you will do

Lets do this. Lets change the world. In this vital role you will work 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 expertise in code development (e.g. Python, R, etc), experience in prompt engineering for scientific data sources and hands-on familiarity with Large Language Models (LLMs), experience with CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc). Additionally, experience in working with multi-functional teams that include software/data engineers, business analysts, architects, cloud infrastructure teams and experience in agile practices, along with effective communication skills are highly desired.

• Develop software to transform and visualize omics (genomics, proteomics, transcriptomics) data using programming languages such as Python and R.
• Use Large Language Model (LLM) prompt engineering for scientific data sources enabling AI-driven access to complex scientific datasets.
• 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
• Ensure effective communication between scientific area management, technical staff and vendors to analyze scientific needs and implement informatics solutions in data acquisition, integration and analysis

What we expect of you

• Master's or Bachelors degree and 8 to 12 years of in Software Development, IT, or related field, OR

Basic Qualifications:

• Proficiency in code development (Python, R) and the software development lifecycle
• Experience with Application development (RShiny, Ploty Dash, etc)
• Proficient with SQL and relational databases (e.g PostgreSQL, MySQL, Oracle, Databricks)
• Experience with cloud computing platforms and infrastructure

Preferred Qualifications:

• 8+ years of experience in biopharma or life sciences
• Experience in prompt engineering for scientific data sources
• Hands-on familiarity with Large Language Models (LLMs)
• Experience in scientific data visualization using R or Python
• Experience with Bioinformatics tools, development and usage
• Experience with installing software and configuring linux-based systems
• Work experience in the biotechnology or pharmaceutical industry.
• Experience using and adopting Agile Framework
• Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, etc)

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

• Agile certifications (e.g. SAFe) (preferred)
• Cloud Computing (AWS) (preferred)

Soft Skills:

• 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.