Scientific Business Analyst- Darmstadt or Düsseldorf, Germany

Talantir; Frankfurt; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Salary equity

PTO

Remote work opportunities

Job summary

TetraScience is a Scientific Data and AI company focused on bridging scientific insights with cutting-edge technology. We collaborate with scientists, product managers, and engineers to transform complex lab data into actionable outcomes.

This role requires deep domain expertise in life sciences and hands-on experience with data workflows and lab automation. Expect frequent onsite collaboration with customers in the Frankfurt area and a strong emphasis on delivering measurable ROI through

Qualifications

• 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 Quality
• Delivered requirements for data-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization
• Exceptional communication and storytelling ability to engage technical and executive stakeholders
• Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus
• Prior experience in customer-facing, consulting, or commercial-scientific interface roles
• Comfortable with basic scripting and data structures, and familiarity with software tools, databases

Responsibilities

• 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 opportunities
• Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases
• Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes
• Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI
• Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions
• AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance
• Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption
• Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development

Skills

Data analysis

Stakeholder engagement

Scientific data workflows

Lab automation

Communication skills

Onsite customer facing

Education

PhD in Life Sciences

Masters in Life Sciences with 10+ years experience

Tools

SQL

Databases

Job description

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