Scientific Data Architect - United Kingdom

Location: Manchester, England, United Kingdom.

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.

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• Product‑mindset, outcome‑obsessed driver of technical scientific solutions.
  
• High‑velocity self‑starter who refuses to let uncertainty obstruct the path to designing and building solutions.
  
• Rolls up sleeves, tries things out, prototypes, demos, and gets things done.
  
• Thrives in environments where collaboration with scientists, product managers, and engineers transforms complex scientific data into actionable outcomes.
  
• Immensely experienced applying cutting‑edge data methodologies to the biopharma R&D domain, bridging present‑day pain points and generalisable solutions.
  
• Insatiable learner with a track record of deeply learning new tools, methods, and domains.
  
• Embodies extreme ownership and has built extensible data models and applications for Biopharma end‑users, maximizing data value via analysis and AI/ML integration.
  
• Disciplined and determined to forge a category that fundamentally changes the life‑science industry.
  

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• PhD with 7+ years / Masters with 10+ years of industry experience in life sciences, with extensive domain knowledge in drug discovery (target ID through lead optimisation), preclinical development, CMC (all drug modalities), or product quality testing.
  
• Proven track record of defining, designing, prototyping, and implementing productised 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 optimisation to enable scientific outcomes not previously possible.
  
• Engaged diverse audiences, from scientists to executive stakeholders, using excellent communication and storytelling abilities.
  
• Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.
  

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• Strong background in data engineering, architecture, and analytics, preferably in life‑sciences or biopharma.
  
• Experienced with cloud platforms (AWS, GCP, Azure) and data pipelines.
  
• Proficient in Python, data modelling, and API integration.
  
• Knowledge of scientific workflows and lab software such as ELN/LIMS.
  
• Excellent stakeholder management and communication skills.
  

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• Design and implement extensible, reusable data models that efficiently capture and organise scientific data for use cases, ensuring scalability and adaptability.
  
• Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
  
• Own, scope, prototype, and implement solutions including:
  
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  • Data model design (tabular & JSON).
    
  • Python‑based parser development.
    
  • Lab software integration via APIs.
    
  • Data visualisation and app development in Python (Streamlit, holoviews, Plotly).
    
  • Collaborate with SBAs, customer scientists, and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid).
    
  • Programmatically interrogate 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 prioritise the roadmap by understanding customers' pain points within and outside the Tetra Data Platform.
  
• Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases.
  

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• 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.
  

Visa sponsorship is not currently available for this position.

Mid‑Senior level

Full‑time

Other

IT Services and IT Consulting

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