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.

REQUIREMENTS

• 15+ years’ experience designing and building highly scalable, data platforms
• Significant experience with AWS, Services-Architecture and web-scale design patterns
• Demonstrated ability to drive architectural vision for a company or highly scalable line of products
• Proven track-record of success developing product strategy within a start-up environment
• Hands on experience in building Platform Architecture and Microservices / Containerization technologies
• Proficient in Python and web scale technologies
• Experience with ETL, data integration, data pipelines and lake house architectures
• Extremely high learn-and-curious character traits who excels at achievement
• Experience in Databricks, Snowflake, Google, Azure is a plus
• Excellent problem solving, collaboration and communication skills, both verbal and written
• Ability and desire for transparent communication and influence at the executive level
• Have an entrepreneurial spirit and bring ideas to the table
• A proven track record of influencing organizational change from an enterprise architecture perspective over a sustained period without steamrolling or frustration
• Experience in life sciences or working for Biopharma companies is a big plus

• Own, define, communicate, and drive technical vision, architectural strategy for all Tetra products
• Define the technical strategy for data re-platforming, data engineering, Analytics, and AI /ML layers
• Support and advise executive leadership regarding technical and architectural feasibility, implications, readiness, security and compliance
• Provide key inputs into technology evaluation and technology planning activities
• Drive architecture discussions with partners like Google, Databricks, and Snowflake
• Communicate the architecture to the engineering and product teams, customers, and stakeholders
• Mentor and train other team member on design techniques, systems architecture and coding standards
• Drive innovations that improve the scalability, availability, resiliency, and performances of services and products
• Stay on the cutting edge of emerging technology, forging key relationships with peers
• Provide thought leadership and represent TetraScience at industry and technology conferences