Who We Are

TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes. For more information, please visit tetrascience.com.

Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add individuals to our team that demonstrate the following values:

• Transparency and Context- We execute on our ambitious mission by starting with radical data transparency and business context. We openly and proactively share all vital data and make it actionable, so our employees and stakeholders can solve any problem presented to them.
• Trust and Collaboration- We are committed to always communicating openly and honestly at every level of the organization, functionally, cross-functionally, internally, and externally. Empowering our employees will drive positive change across our entire ecosystem.
• Fearlessness and Resilience- We must be fearless and resilient to fulfill our potential. We proactively run toward challenges of all types, we unblinkingly acknowledge and confront the brutal facts - which all innovative growth companies invariably face – and we embrace uncertainty and take calculated risks.
• Alignment with Customers- We know that our customers' success is our success. We are honored and humbled by their commitment to us, and we are completely committed to ensuring they achieve their mission to unlock the world’s most important scientific innovations.
• Commitment to Craft- We take our craft seriously and seek to be best-in-class in all we do, regardless of our functional role, seniority, or tenure. We are members of one team that combines intellectual horsepower and curiosity, humility, and empathy to ensure we are always learning and evolving.
• Equality of Opportunity- We cannot imagine our journey without a workforce which reflects humanity’s diversity. We seek out the best of the best who bring with them unique and invaluable perspectives and talents and embody our common values - regardless of gender, ethnicity, race, or age.

What You Will Do

As part of the Scientific team, you will play an integral role learning “as-is” customer workflows and paradigms, and suggesting improved “to-be” workflows based on the strengths of the Tetra Scientific Data & AI Cloud. You will support the European branch of Field, Enablement, Sales, and Scientific contacts to be a durable, reliable scientific reference point.

• You will possess deep scientific expertise, grounded in a previous role with biotech or pharmaceutical companies with clear context on specific phases (Research, Development, Manufacturing), modalities (Biologics, Cell & Gene Therapy, etc), and overall company strategies
• You will be an educational and technological resource for the entire organization - always willing to go the extra mile to enable another team or to promote understanding of a deep or difficult concept.
• You will closely collaborate with our Scientific Business Analysis, Solutions Architecture, and Account Executive teams to learn and assess customer needs and recommend appropriate TetraScience Scientific Data & AI Cloud-based solutions
• You will partner with relevant subject matter experts (SMEs) internally to drive feature development
• You will operate externally to give conference talks, interact with pre-competitive organizations, and to produce white papers and peer-reviewed articles
• You will obsess over customers’ scientific outcomes and partner with them on driving their science forward through Cloud-native solutions
• You will build close, cross-functional relationships with Sales and Marketing leadership to ensure positive and data-focused impact on messaging, content, and new areas of scientific interest