Amgen, a global leader in biotechnology since 1980, is dedicated to serving patients suffering from serious illnesses. With a focus on Oncology, Inflammation, General Medicine, and Rare Diseases, Amgen transforms lives by innovating medicines that help people live longer, healthier lives. At Amgen, you’ll join a collaborative, innovative, and science-driven culture that thrives on challenges and opportunities.

Key Responsibilities of the Scientific Business Analyst

As a Scientific Business Analyst at Amgen, you’ll play a vital role in bridging scientific needs with technological solutions. Your primary responsibilities include:

1. Collaboration & Communication
   • Serve as a liaison between global research scientists and informatics teams.
   • Develop clear, actionable requirements for development teams.
2. Platform Management
   • Handle scientific software platforms and systems integrations.
   • Lead the ecosystem for assay data management and data integrity.
3. Process & Delivery
   • Maintain product roadmaps outlining features, timelines, and milestones.
   • Manage risks, including technological and scientific validation challenges.
4. Training & Documentation
   • Develop training materials, documentation, and communication plans.
5. Innovation & Compliance
   • Ensure operational excellence, cybersecurity, and compliance.
   • Support AI/ML capabilities for scientific data operations.

Qualifications You Need

Basic Qualifications:

• Master’s degree with 1–3 years of experience OR
• Bachelor’s degree with 3–5 years of experience OR
• Diploma with 7–9 years of experience in Life Science, Biotechnology, Pharmacology, or Information Systems.

Preferred Qualifications:

• Expertise in scientific domains and associated technology needs.
• Familiarity with platforms like Genedata Screener, GraphPad Prism, and Benchling.
• Knowledge of agile methodologies, JIRA, and DevOps practices.

Essential Skills for Success

To thrive in this role, you should possess:

• Problem-Solving Abilities: Tackling complex challenges in drug discovery.
• Strong Communication: Conveying technical details in business terms confidently.
• Technical Expertise: Understanding scientific software strategy and governance.
• Team Collaboration: Working with global, virtual teams effectively.
• Time Management: Handling multiple priorities under minimal supervision.

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