Senior Solutions Architect - EMEA

Yesterday

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Logo of TetraScience

TetraScience

Experimental Data • Life Sciences • Data Integration • Cloud Computing • ML/AI

Description

• 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. • You will work closely with our scientific end-users to design, architect, and deliver highly impactful solutions to pharmaceutical and biotech customers. • This is a technical SA presales role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential clients. • Your expertise covers technical data integration, storage, access and architectures, conveying complex technical concepts aligned with business needs. • Work with lab scientists and lab managers to understand and define the workflow needed to solve their problems. • Work with the Product and Engineering teams to create product plans. • Partner with Customer Success - helping the customer implement our platform through process change management. • Synthesizing customer feedback into a cohesive vision for how labs can work better through seamless data flow. • Map business requirements to technical solutions. • Determine potential return on investment for proposed solutions. • Understand industry-specific challenges and trends to tailor solutions accordingly.

Requirements

• Scientific background and/or 3+ years professional experience in Life Sciences R&D IT / 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. Experience in large molecule or new modalities is a plus. • Proficient in enterprise sales within the pharmaceutical sector. • Skilled • 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. • Experience with AWS application stack preferred.

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 • We are unable to provide sponsorship for the role.

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