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Solutions Architect -EMEA

TetraScience
London
2 days ago
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TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.

TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom:

In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.

It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.

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. 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.

This is a technical SA presales role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential clients. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions.

Collaboration:

Work with lab scientists and lab managers (or R&D IT with lab data responsibilities) to understand and define the workflow needed to solve their problems. Translate this knowledge into solutions using the Tetra Data Platform
Work with the Product and Engineering teams to create product plans - both one-off and platform-based
Partner with Customer Success - helping the customer implement our platform through process change management, while collecting feedback for TetraScience about what's working and potential improvements
Synthesizing customer feedback into a cohesive vision for how labs can work better through seamless data flow
Proficient at advocating for the customer's perspective and actively collaborating with product management to prioritize feature development

Business Acumen:

Solution Mapping: Map business requirements to technical solutions
ROI Calculation: Determine potential return on investment for proposed solutions
Industry Knowledge: Understand industry-specific challenges and trends to tailor solutions accordingly in the Biopharma and Pharma vertical

Soft Skills:

Communication: Translate complex technical topics into easily digestible content for non-technical stakeholders
Presentation Skills: Deliver compelling presentations to both small and large audiences
Relationship Building: Cultivate relationships with clients, sales teams, and technical teams
Problem-solving: Handle objections and come up with solutions quickly
Negotiation Skills: Collaborate with clients and sales teams to reach beneficial agreements

Sales Support:

Product Knowledge: Develop a deep understanding of the company's product or service offerings
Demo Development: Design and showcase tailored demonstrations to prospects
Skilled in crafting responses to Requests to Information (RFIs), Requests for Proposals (RFPs), and adept at preparing Statements of Work (SOWs)

Project Management:

Timeline Management: Ensure projects are kept on track and within scope
Stakeholder Management: Coordinate with various stakeholders to ensure the smooth flow of presales activities

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.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Engineering and Information Technology
Industries IT Services and IT Consulting
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