As a Scientific Business Analyst, you'll operate at the convergence of science and digital innovation, helping transform how life sciences organizations leverage data. Your primary focus will be understanding intricate scientific processes and converting them into clear, actionable data requirements that power AI and machine learning solutions.
What You'll Do
- Partner with scientists, engineers, and product teams to identify high-impact use cases in drug discovery, preclinical development, CMC, and Quality
- Define and refine requirements for advanced data systems tailored to R&D and quality assurance environments
- Translate laboratory workflows into structured data models that support intelligent applications
- Assess how scientific data systems interact with software platforms to improve integration and usability
- Lead efforts to enrich, analyze, and extract maximum value from scientific datasets
- Spend time regularly onsite with customers to deeply understand their challenges and co-develop transformative solutions
What We're Looking For
- Proven experience in life sciences, with strong knowledge of drug development or quality operations
- Ability to communicate effectively with both technical and scientific stakeholders
- Fluency in data concepts and a track record of shaping data-driven tools for scientific contexts
- Self-driven mindset with a commitment to ownership and measurable impact
- Comfort working in fast-moving environments where innovation and precision intersect
- Willingness to travel and engage directly with customer teams on-site
Our Environment
This role thrives in a culture of forward momentum, deep ownership, and collaboration. You'll contribute to next-generation lab data platforms and work alongside experts in AI, cloud infrastructure, and scientific computing. Our values emphasize impact, integrity, and the responsible use of technology to advance research.
