Scientific Data Architect - Austria, Denmark Or Uk

TetraScience, Inc.; Cambourne; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and equity

Generous PTO

Flexible remote work

Job summary

TetraScience, Inc. is hiring a product-minded, results-driven professional to industrialize Scientific AI. You will engage directly with customers onsite up to 25% of the time, building strong relationships and understanding scientific data challenges.

You will design scalable data models and translate workflows into robust Tetra Data Platform solutions. You will prototype data parsers, integrate lab software, and develop visualization apps in Python (Streamlit, Plotly).

Qualifications

• PhD or Master with extensive industry experience in life sciences (drug discovery, preclinical, CMC, or product quality testing).
• Proven track record of defining, prototyping, and implementing AI/ML-driven use cases in cloud environments.
• Experience collaborating with cross-functional teams including scientists, PMs, and engineers.
• Performed exploratory data analysis and workflow optimization for scientific outcomes.
• Engaged scientists and executives with clear communication and storytelling.
• Advised scientists in a consulting capacity to advance R&D and quality testing outcomes.

Responsibilities

• Be a key member in industrializing Scientific AI, traveling up to 25% to engage with customers onsite.
• Design extensible data models to capture/scaffold scientific data for use cases.
• Translate scientific data workflows into robust solutions on the Tetra Data Platform.
• Prototype and implement data models, Python parsers, and lab software integrations.
• Develop data visualization apps using Python (Streamlit) and plotting libraries.
• Collaborate with SBAs, customer scientists, and AI engineers to deploy ML/AI models.
• Iterate with end users through demos and progress updates.
• Work with product team to prioritise roadmap and address customer pain points.
• Learn new technologies to develop and troubleshoot use cases.
• Collaborate with the product team to prioritize roadmap based on customer pain points.

Skills

Product-minded

Outcome-obsessed

Communication

Travel

Communication & storytelling

Customer engagement

Education

PhD +4 years in life sciences

Masters +8 years in life sciences

Tools

Python

Streamlit

Plotly

Holoviews

ELN/LIMS API integration

AWS

Job description

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.

Who You Are

You are a product-minded, outcome-obsessed driver of technical scientific solutions.

You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions.

You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users.

You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.

With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions.

You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains.

You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML.

This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.

What You Have Done

• PhD with +4 years or Masters with +8 years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.
• Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments
• Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
• Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.
• Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities.
• Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.

Requirements

What You Will Do

• You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite and will need to travel up to 25% of your time, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.
• Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.
• Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
• Own, scope, prototype, and implement solutions including:
• Data model design (tabular & JSON)
• Python-based parser development.
• Lab software (e.g., ELN/LIMS) integration via APIs.
• Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly)
• Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid)
• Programmatically interrogating proprietary instrument output files.
• Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings
• Proactively communicate implementation progress and deliver demos to customer stakeholders.
• Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform.
• Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases

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 when not at Customer Sites
  

We are not currently providing visa sponsorship for this position.