Scientific Business Analyst- Denmark

Candidates must possess a PhD and over 15 years of industry experience in life sciences, specifically within pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality. Extensive hands-on experience or direct oversight in areas such as high throughput screening, preclinical toxicology, materials engineering, analytical development, or drug substance synthesis and manufacturing is required. Proven experience delivering requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization is essential. Candidates should have extensive hands-on experience with scientific data workflows and lab automation, with exposure to FAIR principles and modern data architecture being a plus. A strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies are preferred. Exceptional communication and storytelling abilities to engage technical and executive stakeholders are necessary, along with prior experience in customer-facing, consulting, or commercial-scientific interface roles. The ability to work onsite with customers regularly is also a requirement.