Full-Time

Scientific Solutions Partner

TetraScience

TetraScience

201-500 employees

Cloud-native platform centralizing scientific data

Compensation Overview

$120k - $200k/yr

Indianapolis, IN, USA

Hybrid

Approximately 25% travel to client sites within the assigned region is required.

Bachelor's, Master's, PhD

Category
Biology & Biotech (1)
Required Skills
Machine Learning
CRM
Salesforce

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Requirements
  • A Bachelor's degree in a life science, chemistry, or engineering discipline is required.
  • At least 5 years of combined scientific, technical, and commercial experience in life sciences software, laboratory informatics, scientific data infrastructure, or adjacent domains.
  • Direct experience in pharma, biotech, or contract research organization or contract development and manufacturing organization environments, either as a scientist, scientific software professional, or sales or solutions professional serving these customers.
  • Demonstrated ability to lead technical sales cycles in enterprise software as a service or scientific software, including proof-of-concept design and execution and request for proposal ownership.
  • Deep familiarity with laboratory workflows and data, including instruments generating unstructured data.
  • Fluency with scientific data concepts, including file formats, instrument connectivity, data harmonization, and the path from raw data to artificial-intelligence-ready datasets.
  • Experience with modern sales methodologies such as MEDDIC, MEDDPIC, Force Management, or similar.
  • Proficiency with customer relationship management and digital sales tools such as Salesforce, LinkedIn Sales Navigator, ZoomInfo, and SalesLoft, or equivalent.
  • Ability to travel approximately 25% to client sites within the assigned region.
Responsibilities
  • Lead technical discovery of the customer's laboratory data landscape, including instruments, data formats, informatics stack, and data science ambitions.
  • Design and present solution architectures aligned to customer-specific scientific use cases and data management goals.
  • Lead demonstrations of actual software aligned with customers' main value levers.
  • Own and drive proof-of-concept and proof-of-value engagements, partnering with scientific data architects to deliver demonstrations of the Scientific Data Foundry's capabilities.
  • Own request for proposal technical responses end-to-end by synthesizing platform capabilities, scientific use cases, and customer-specific requirements.
  • Explain the medallion data architecture in scientific and business terms, including how bronze, silver, and gold layers create value and how the artificial-intelligence-native layer accelerates scientific outcomes.
  • Stay current on the scientific and informatics landscape, including assay workflows, instrument vendors, scientific data management systems, electronic laboratory notebooks, laboratory information management systems, analytical software integrations, and artificial-intelligence and machine-learning use cases in drug discovery and development.
  • Prospect, qualify, and build territory pipeline in alignment with the go-to-market strategy.
  • Identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts.
  • Manage the full sales cycle from discovery through contracting using modern sales methodologies.
  • Maintain an accurate pipeline with consistent forecasting and visibility to leadership.
  • Build and expand relationships across the customer organization, from individual contributors to executive sponsors.
  • Partner with the Delivery Manager to ensure a smooth handoff from sales to delivery while maintaining continuity of scientific context.
  • Represent the company at industry conferences, seminars, and customer events as a scientifically credible voice.
  • Contribute customer and market insights to product, marketing, and science teams to inform roadmap and messaging.
  • Help develop case studies, solution briefs, and demonstration narratives that advance the category.
Desired Qualifications
  • A Master of Science or PhD is highly preferred; equivalent practical experience is considered.

TetraScience provides a cloud-based platform that collects and centralizes data from various laboratory instruments and software used in biopharmaceutical research and manufacturing. The system works by harmonizing scattered data into a consistent format, making it easier for scientists to use information for artificial intelligence and machine learning applications. Unlike many competitors, this platform is vendor-neutral and open, meaning it can connect to any piece of lab equipment regardless of the manufacturer. The company’s goal is to improve scientific outcomes by automating data management, allowing researchers to process information in seconds rather than hours.

Company Size

201-500

Company Stage

Series B

Total Funding

$117.2M

Headquarters

Boston, Massachusetts

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • Syngenta selected Tetra OS on April 22, 2026 for industrial-scale crop R&D automation.
  • Takeda's October 2025 SAIL partnership creates repeatable Scientific AI templates for rollout.
  • Matt Studney joined in January 2026, bringing Merck credibility and enterprise transformation relationships.

What critics are saying

  • Thermo Fisher can bundle competing workflows and compress TetraScience margins by 2027.
  • Customer adoption hinges on expensive Sciborg implementation, slowing sales cycles and burning cash.
  • Benchling, Veeva, and LabWare own adjacent workflows, risking TetraScience becoming a feature, not a platform.

What makes TetraScience unique

  • Tetra OS unifies instruments, CROs, and AI-ready data across pharma R&D.
  • Bayer expanded TetraScience deployment in November 2025 across pharma and crop science.
  • Thermo Fisher collaboration in January 2026 validates TetraScience as an enterprise laboratory platform.

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Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

2%

2 year growth

0%
PR Newswire
Jan 15th, 2026
TetraScience Appoints Matt Studney as Chief Customer Officer, Signaling Industry Shift Toward Platform-Based Scientific AI

TetraScience appoints Matt Studney as Chief Customer Officer, signaling industry shift toward platform-based Scientific AI. News provided by. 24-Year Merck Veteran and Former SVP of R&D IT Joins TetraScience to Help Industrialize Scientific Data and AI Across Biopharma BOSTON, Jan. 15, 2026 /PRNewswire/ - TetraScience, the Scientific Data and AI company, today announced the appointment of Matt Studney as Chief Customer Officer. Studney is a seasoned business, R&D, and technology leader with more than two decades of experience operating at the intersection of science, data, and engineering. Most recently, Studney served as Senior Vice President of R&D IT and Key Partnerships at Merck, where he led large-scale modernization of scientific, laboratory, and development platforms and helped scale data, cloud, and AI capabilities across the full R&D continuum. His work enabled faster scientific decision-making, improved reproducibility, and more resilient digital foundations for over 18,000 scientists and researchers worldwide. Studney's decision to join TetraScience reflects a broader inflection point in the biopharma industry. As scientific complexity accelerates and AI becomes central to competitive advantage, platform-based approaches to scientific data and AI are increasingly replacing bespoke, project-driven solutions across discovery, development and manufacturing. "Matt has lived firsthand the limits of artisanal approaches to scientific data and AI," said Patrick Grady, Co-Founder and CEO of TetraScience. "His move to TetraScience signals that the center of gravity is shifting - from bespoke internal efforts toward shared platforms purpose-built to make scientific intelligence durable, cumulative, and scalable." "Matt is a world-class operational leader with unparalleled credibility and relationships within the pharmaceutical industry, and his appointment represents a safe and trusted choice for pharmaceutical companies looking to partner with TetraScience on their scientific data and AI transformation journeys," added Grady. At Merck, Studney designed, established and governed strategic partnerships with AWS, Accenture, Veeva, NVIDIA, BCG X, and QuantumBlack, while overseeing modernization across lab, clinical, and manufacturing technologies. His initiatives helped reduce discovery cycle times by 33%, accelerate regulatory submissions by up to four weeks, and deliver more than $100 million in savings within the first six months of a multi-year optimization program. "Over the course of my career in one of the world's most complex pharmaceutical organizations, I've seen firsthand what works - and what breaks - when you try to scale scientific intelligence inside global pharma," said Studney. "The AI era makes clear that true transformation now requires a fundamentally new architectural foundation. Scientific intelligence cannot scale on fragmented data or bespoke workflows. TetraScience has built the platform needed to industrialize scientific data and make learning cumulative across the enterprise. Patrick's long-standing vision for Scientific AI, combined with the company's deep technical and scientific capabilities, makes clear that TetraScience is the natural steward of this next phase of the industry." Studney is a recognized industry voice across global technology and biopharma leadership forums, advising organizations on AI enablement, platform strategy, and partnership governance. At TetraScience, he will partner closely with biopharma customers to help them move beyond project-by-project modernization toward a shared scientific data and AI platform, working side-by-side through the organizational and operational change this transition requires. Through TetraScience's Sciborg model, his mandate is to translate platform architecture into durable adoption and measurable scientific, operational, and economic outcomes across discovery, development, and manufacturing. About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. Tetra OS integrates the Scientific Data Foundry, Scientific Use Case Factory, Tetra AI, and Sciborgs into a single, AI-native platform. Together, these capabilities turn fragmented scientific data and workflows into governed, reusable, and compounding intelligence across discovery, development, and manufacturing. TetraScience is trusted by leading biopharma organizations and ecosystem partners including NVIDIA, Databricks, Snowflake, Google, and Microsoft. For more information, visit tetrascience.com.

Yahoo Finance
Aug 13th, 2025
TetraScience Launches Tetra Workflows to Automate Scientific Data Workflows at Scale

BOSTON, Aug. 13, 2025 /PRNewswire/ - TetraScience, the Scientific Data and AI Cloud company, today announced the launch of Tetra Workflows, a comprehensive solution that fundamentally transforms how laboratories manage and automate scientific data workflows at scale.

BioSpace
Jan 16th, 2025
TetraScience Collaborates with Microsoft To Advance Scientific AI at Scale

TetraScience collaborates with Microsoft to advance Scientific AI at scale.

HIT Consultant
Jan 16th, 2025
Tetrascience & Microsoft Partner To Advance Scientific Ai In Biopharma

What You Should Know: – TetraScience, a provider of scientific data cloud solutions announced a strategic collaboration with Microsoft to accelerate the adoption of artificial intelligence (AI) in the biopharmaceutical industry. – The strategic partnership combines TetraScience’s Scientific Data and AI Cloud with the power and security of Microsoft Azure, creating a robust platform for scientific organizations to extract valuable insights from their complex experimental data.Explosion of Scientific Data ChallengesThe biopharmaceutical industry is facing a critical challenge: the explosion of scientific data. While AI holds immense promise for accelerating drug discovery and development, much of this data remains trapped in proprietary formats and scattered across disparate systems. This hinders the effective training and deployment of AI models, limiting the potential for breakthroughs.Harmonizing Scientific Data and Empowering AI WorkflowsThe TetraScience and Microsoft collaboration addresses this challenge head-on. By providing a comprehensive solution that encompasses massive computational power, advanced AI models, sophisticated scientific data ontologies, and deep scientific expertise, the partnership empowers organizations to overcome data silos and unlock the full potential of AI.TetraScience’s Scientific Data and AI Cloud is purpose-built to replatform and engineer scientific data into powerful data models and domain-specific use cases. This harmonizes data from hundreds of scientific instruments and vendor formats, ensuring that experimental context is preserved for multimodal analytics and AI model training.Microsoft Azure provides the enterprise-grade infrastructure and computational backbone for demanding scientific workloads, including real-time analytics and large-scale AI applications. This ensures that researchers have the resources they need to train and deploy sophisticated AI models.Preliminary Collaboration ResultsThis collaboration is already delivering tangible results

NVIDIA
Nov 13th, 2024
Japan Develops Next-Generation Drug Design, Healthcare Robotics and Digital Health Platforms

At AI Summit Japan, TetraScience, a company that engineers AI-native scientific datasets, announced a collaboration with NVIDIA to industrialize the production of scientific AI use cases to accelerate and improve workflows across the life sciences value chain.