Responsibilities
- Engage directly with customers onsite up to 4-5 days per week in the Vienna Region
- Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities
- Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases
- Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes
- Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI
- Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions
- AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance
- Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption
- Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development
Requirements
- PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality
- Extensive hands-on experience or direct oversight in one or more of the following areas: 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
- 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
- Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus
- Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred
Benefits
- 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 Arrangement
Remote (City/Region)
Additional Information
- You will be expected to embody the contents of the Tetra Way letter each day
- You will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO
- Regularly working onsite with customers
- Up to 4-5 days per week in the Vienna Region
