Scientific Pre-Sales Solutions Architect (Technical Enablement)

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

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 data scientists’, machine learning engineers’, scientists' and R&D IT analysts' needs, analyze their data environment, assist in the design and implementation of solutions, and create training artifacts to accelerate delivery motions.

This is a technical enablement 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.

Enablement:

• Serve as a “Sciborg” (science + tech background) on the Technical Enablement team, engaging internal and external stakeholders in deeply technical and scientific dialogues to improve customer product relevance, market fit, and customer success. This customer-facing role requires a deep understanding of data management in a scientific domain.
• Educate and evangelize all internal and external stakeholders around use cases and the technology that enables them, serving as the connective tissue between TetraScience and its customers
• Relentlessly evangelize the Scientific Data and AI Platform and how the value of Scientific Data can be maximized across the world’s largest pharma companies.
• Prepare internal business analysts, solution architects, technical architects, data architects, data engineers with scientific context, literature, and technical best practices.
• Translate complex technical topics into easily digestible content for non-technical stakeholders.
• Deliver compelling presentations to both small and large audiences.
• Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restriction. 

Sales Support:

• Serve as a contributing member and liaison with the Solution Architecture team, creating high level structure for repeatable sales demo processes
• Work with data scientists, 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.
• 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).

Account Support:

• Work with Customer Success and Professional Services to ensure product delivery on challenging scientific goals
• Assess current state of scientific workflows within customer environments and identify use cases with highest potential impact that are implementation-ready
• Identify new use cases across customer accounts with the potential to be transformed by the Scientific Data and AI Cloud
• Understand the value of deploying Tetra enabled scientific applications through deep understanding of challenges of customers’ current state

Cross-company Collaboration:

• Collaborate with TetraScience Product and Engineering teams to design a roadmap that incorporates customer feedback on an ongoing basis
• Assist development team with creation of testing strategies for use cases deployed in the customer environment
• Work with Product, Marketing, and Engineering teams to “tell the story” of how our product solves those challenges
• Translate business/user requirements into actionable product requirements for development teams
• Prepare internal Sales, Marketing, and Engineering staff for customer calls with scientific context, literature, and best practices

Who You Are

Must Have:

• 2+ years professional experience in a Life Sciences company and/or a scientific background. Previous experience as a practicing bench scientist is highly valued.
• 4+ years professional experience as data scientist, scientific data engineer, or solutions architect.
• 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.
• Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment.
• Experience working with high-bandwidth and high-energy professionals
• Insatiable curiosity to learn, develop, and grow year-over-year
• Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams

Nice To Have:

• Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience (persona)
• Proficient in enterprise sales within the pharmaceutical sector.
• Experience with AWS application stack.

Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members
• Unlimited paid time off (PTO)
• 401K
• Flexible working arrangements - Remote work + office as needed
• Company paid Life Insurance, LTD/STD

We are not currently providing visa sponsorship for this position.