About TetraScience
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
What You Will DoProviding a strategic technical partnership with Customers, you will bridge the gap between the business objectives and technical execution. You will be the primary technical leader for 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 enable customers to achieve faster ROI, reduced risk, smoother scaling, accelerated product adoption and ensure the long-term success of projects.
Key Responsibilities
- Primary technical point of contact across strategic accounts
- Lifecycle engagement & adoption acceleration from presales to delivery
- Technical health & risk management
- Strategic planning and stakeholder management across sales, product management and engineering teams
- Sales enablement & growth support
- Deep and wide technical and science senior relationships
Strategic Technical Partnership
- Deeply understand Customer scientific data and AI architecture & goals
- Provide proactive, prescriptive technical guidance
- Act as a trusted advisor aligned to Customer outcomes
Lifecycle Engagement & Risk Management
- Drive adoption & success plan execution
- Conduct regular technical reviews
- Identify risks & recommend optimizations
Sales Support & Escalation Management
- Lead technical strategy for expansions
- Support POCs & co-innovation
- Manage resolution for escalated issues
Value Delivered to Customers
- Accelerate time to value
- Improve stability & uptime
- Strategic roadmap alignment
- Prioritized support & faster resolutions
- Higher ROI through continuous optimization
Commercial Acumen & Sales Enablement
- Support growth through hands on sessions and enablement presentations
- Showcase tailored demonstrations to prospects, to both small and large audiences
- Solution Mapping: Map business requirements to technical solutions.
- ROI Calculation: Determine potential return on investment for proposed solutions.
- Relationship Building: Cultivate relationships with clients, sales teams, and technical teams.
- Working with the science and technology Partners such as Databricks and Google
- Negotiation Skills: Collaborate with clients and sales teams to reach beneficial agreements.
Technical Account Leadership
- Product Knowledge: Develop a deep understanding of the company's product or service offerings.
- Demo Development: Design and showcase tailored demonstrations to prospects.
- Proposal Writing: Contribute to RFPs/RFIs with detailed technical specifications and solutions
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.
RequirementsWhat You Have Done
- Scientific background academic and/or 5+ years professional experience in Life Sciences
- Senior Technical Architecture experience 5+ years
- Commercial tech sales support
- R&D IT OR Data & Informatics
- Data Modeling: Understand logical, physical, and conceptual data models.
- Database Systems: Proficiency in cloud RDBMS (like Snowflake) and NoSQL
- databases (like Redshift and Databricks).
- Big Data Technologies: Familiarity with tools like Spark, and data warehousing solutions.
- Cloud Platforms: Experience with cloud providers mainly AWS especially their data services, but also Azure, Google Cloud,
- Data Governance and Quality: Understanding of data lineage, metadata management, and data quality processes and tools.
- Analytics and BI Tools: Familiarity with tools such as Tableau, Power BI, QlikView, and their backend requirements.
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 not currently providing visa sponsorship for this position
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What We Do
Biopharma R&D runs on data trapped in silos. Every instrument, ELN, and LIMS writes results in its own format, so most of what a scientist learns in one experiment never reaches the next. That's a big reason drug development costs keep climbing even as computing power gets cheaper. TetraScience builds Tetra OS, the operating system for scientific intelligence. It sits above and alongside a company's existing instruments, ELNs, and LIMS, works across any vendor, and turns raw scientific data into structured, AI-ready intelligence. Four components make it work. The Scientific Data Foundry ingests data from any source and converts it into governed, machine-readable data at scale. The Scientific Use Case Factory turns one-off workflows into reusable, validated ones deployed across sites. Tetra AI reasons and orchestrates on top of that foundation, grounded in real data instead of guessing. Sciborg teams, our embedded scientist-engineers, work inside customer organizations to get all of it adopted, not just installed. These parts compound. Better data makes workflows faster to build. Workflows generate better data. The result is intelligence that gets more valuable with use instead of resetting on every new project. Customers include Takeda, Bayer, Regeneron, Roche and and AstraZeneca, alongside partners like NVIDIA, Databricks, and Thermo Fisher Scientific. One top-20 pharma customer connected over 1,000 instruments, processed a petabyte of data in a year, and cut 20,000 hours of administrative work. Founded by Patrick Grady and Spin Wang, headquartered in Boston with a European base in Basel. Mission: radically improve and extend human life.
Why Work With Us
We're building the operating system underneath scientific R&D, not another point tool. Work touches real drug development at Takeda, Bayer, and Novartis. Every employee sees the same financials the board sees. We hire people who reason from first principles and run at hard problems.
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