TetraScience is hiring a Scientific Business Analyst, Scientific AI based in Vienna, Austria. In this strategic role, you will bridge scientific insights and technology, engaging directly with customers to transform complex scientific data into actionable AI/ML outcomes. You will focus on R&D and Quality personas within the Life Sciences industry.
What You'll Do
- Engage directly with customers onsite up to 4-5 days per week in the Vienna Region.
- Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities.
- Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases.
- Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes.
- Perform exploratory data analysis and define transformation workflows that enable scientific AI.
- Develop visual documentation including workflow diagrams, ERDs, and ontology definitions.
- Provide practical scientific input on model output, with suggestions to improve real-world performance.
- Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption.
- Propose new directions, experiments, or platforms that can amplify scientific discovery and development.
What We're Looking For
- PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech.
- Deep domain expertise in discovery, preclinical, CMC, and/or Quality.
- Extensive hands-on experience or direct oversight in one or more of: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing.
- Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization.
- Extensive hands-on experience with scientific data workflows and lab automation.
- Exceptional communication and storytelling ability to engage technical and executive stakeholders.
- Prior experience in customer-facing, consulting, or commercial-scientific interface roles.
Nice to Have
- Exposure to FAIR principles and modern data architecture.
- Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs).
- Familiarity with scientific tools, databases, and ontologies.
Technical Stack
- Python
- Nextflow
- AWS
- SDKs
Team & Environment
You will be a critical team member in a unique partnership to industrialize Scientific AI.
Benefits & Compensation
- Competitive Salary and equity in a fast-growing company.
- Supportive, team-oriented culture of continuous improvement.
- Generous paid time off (PTO).
- Remote working opportunities, when not at customer sites.
Work Mode
This role is hybrid and based in Vienna, Austria, requiring onsite customer engagement up to 4-5 days per week.
TetraScience is an equal opportunity employer.
