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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

You will work closely with our scientific end-users to design, architect, and deliver highly impactful solutions to pharmaceutical and biotech customers. As a Solution Architect, you will work to understand scientists’ and R&D IT analysts’ needs, analyze their data environment, assist in the design and implementation of our solutions, and aid in integration with clients’ data systems. You will be responsible for the creation of POCs’, building demos, client training, technical support, and business development in this role.

This is a customer-facing, customer-centric role and requires deep understanding of data management and flow in one (or more) scientific domains including process development, analytical chemistry, CMC, MAbs discovery, lab automation, protein production, in vitro screening, or assay development.

Work with lab scientists and lab managers (or R&D IT with lab data responsibilities) translate and define Scientific use cases, creating a data workflow to develop a solution using the Tetra Data Platform.
Work with the Product and Engineering teams to create product plans – both one-off and platform-based.
Work with Customer Success and Professional Services to help the customer implement by managing change management, while collecting feedback for potential improvements.
Synthesizing customer feedback into a vision for current and future customers, transforming the R&D Data journey.

Requirements

Technical Presales experience as a Solution Architect with a software engineering, cloud, web API, or Data Engineering background. The ideal candidate will have implemented, leveraging AWS.
Professional experience in Life Sciences R&D/IT or Informatics. Previous experience as a practicing bench or data scientist highly valued.
Deep understanding of Life Sciences lab information systems such as ELN, CDS, MS, NGS software, LIMS, Registration, LES, analytics, visualization suites.
Deep understanding of drug discovery, development, and manufacturing processes.
Excellent technical, business, written, and verbal communication skills.
Adept at handling multiple projects and competing resource allocation.
Intellectually curious: Unwavering drive to learn and know more every day.
Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment.

Benefits

Competitive Salary and equity in a fast-growing company.
Supportive, team-oriented culture of continuous improvement.
Generous paid time off (PTO).
Flexible working arrangements – Remote work.

Originally posted on Himalayas

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