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