Who We Are
TetraScience is the Scientific Data and AI 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.
Who You Are
You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes.
With deep domain knowledge in drug discovery/preclinical development, CMC, or Quality, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.
You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences.
You will need to be software-savvy and data fluent with skills to translate scientific workflow to data-related requirements and understand the software implication.
You will need to be a high clock-speed, forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside Life Sciences. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications.
You should also be energized by regularly working onsite with customers. You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand.
Requirements
What You Have Done
PhD with +5 years or Masters with +10 years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or QualityExtensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturingDelivered requirements for data-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization. Proven experience and capability to analyze and articulate the business impact of the data-driven solutions via ROI analysis, live presentation, case studyExceptional communication and storytelling ability to engage technical and executive stakeholdersExtensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plusPrior experience in customer-facing, consulting, or commercial-scientific interface rolesComfortable with basic scripting and data structures, and familiarity with software tools, databases
What You Will Do
As such, you will engage directly with customers onsite up to 4-5 days per week in the Frankfurt Region Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunitiesScientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use casesStakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapesData Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AIWorkflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitionsAI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performanceCustomer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoptionStrategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development
Benefits
Competitive Salary and equity in a fast-growing companySupportive, team-oriented culture of continuous improvementGenerous paid time off (PTO)Remote working opportunities, when not at customer sites
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Scientific Business Analyst- Darmstadt or Düsseldorf, Germany in Frankfurt am Main Arbeitgeber: Talantir
findIQ ist ein schnell wachsendes Tech-Startup aus der Region Ostwestfalen-Lippe, das sich der digitalen Transformation im industriellen Maschinen- und Anlagendienst verschrieben hat. Als Arbeitgeber bieten wir eine unternehmerische und kollaborative Kultur in einem kleinen, vielfältigen Team, wo Ideen geschätzt werden und die Ausführung zählt. Mit flexiblen Arbeitsmöglichkeiten, individueller Entwicklung und einem attraktiven Gehalt sind wir bestrebt, unseren Mitarbeitern die besten Voraussetzungen zu bieten, um persönlich und beruflich zu wachsen.
