Scientific Data Architect - United Kingdom
Scientific Data Architect - United Kingdom

Scientific Data Architect - United Kingdom

Cambridge Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement innovative data models for scientific use cases in a collaborative environment.
  • Company: Join TetraScience, a leader in Scientific Data and AI revolutionising lab data management.
  • Benefits: Enjoy competitive salary, equity, generous PTO, and flexible remote work options.
  • Why this job: Make a real impact in life sciences by transforming complex data into actionable insights.
  • Qualifications: PhD or Masters with extensive experience in life sciences and AI/ML-driven solutions.
  • Other info: Dynamic team culture focused on continuous improvement and professional growth.

The predicted salary is between 36000 - 60000 ÂŁ per year.

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‑generation lab data management solutions, scientific use cases, and AI‑enabled outcomes.

Who You Are

You are a product‑minded, outcome‑obsessed driver of technical scientific solutions. You are 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 7+ years / Masters with 10+ 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

What You Will Do

  • 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.

    Scientific Data Architect - United Kingdom employer: TetraScience

    TetraScience is an exceptional employer, offering a supportive and team-oriented culture that fosters continuous improvement and innovation in the scientific data and AI sector. With competitive salaries, equity opportunities, and flexible working arrangements, employees are empowered to thrive in their roles while collaborating with leading scientists and engineers to drive meaningful outcomes in biopharma R&D. The company's commitment to employee growth and its pioneering position in the market make it an attractive place for those seeking impactful and rewarding careers.
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    Contact Detail:

    TetraScience Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Scientific Data Architect - United Kingdom

    ✨Tip Number 1

    Get to know TetraScience inside out! Dive into the Tetra Way letter and really reflect on how your values align with theirs. This will not only help you understand if it’s the right fit for you, but it’ll also give you some solid talking points during interviews.

    ✨Tip Number 2

    Show off your hands-on skills! When you’re chatting with potential employers, don’t just talk about your experience—bring examples of your work. Whether it’s a prototype or a data model, having something tangible to discuss can really set you apart.

    ✨Tip Number 3

    Network like a pro! Connect with current employees on LinkedIn or attend industry events. Engaging with people in the company can give you insider knowledge and might even lead to a referral, which is always a bonus!

    ✨Tip Number 4

    Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the TetraScience team.

    We think you need these skills to ace Scientific Data Architect - United Kingdom

    Data Model Design
    Python Programming
    API Integration
    Data Visualization
    Machine Learning (ML)
    Artificial Intelligence (AI)
    Statistical Analysis
    Exploratory Data Analysis
    Collaboration with Cross-Functional Teams
    Communication Skills
    Prototyping and Implementation
    Cloud Environments
    Adaptability to New Technologies
    Problem-Solving Skills
    Domain Knowledge in Life Sciences

    Some tips for your application 🫡

    Read the Tetra Way Letter: Before you dive into your application, make sure to read the Tetra Way letter from our CEO, Patrick Grady. It’s super important for understanding our values and whether we’re the right fit for each other.

    Tailor Your Application: When writing your application, don’t just send a generic CV and cover letter. Tailor them to highlight your experience in scientific data architecture and how it aligns with our mission at TetraScience. Show us what makes you unique!

    Showcase Your Collaboration Skills: We love team players! Make sure to include examples of how you’ve collaborated with scientists, product managers, and engineers in your past roles. This will help us see how you can thrive in our environment.

    Apply Through Our Website: Finally, don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!

    How to prepare for a job interview at TetraScience

    ✨Know the Tetra Way

    Before your interview, make sure to read and understand the Tetra Way letter. This document is crucial for aligning with the company's values and ethos. Reflect on how your own principles match up with theirs, as this will show your genuine interest in the company culture.

    ✨Showcase Your Technical Skills

    Be prepared to discuss your experience with data models, AI/ML-driven use cases, and cloud environments. Bring examples of past projects where you designed or implemented solutions, and be ready to explain your thought process and the impact of your work.

    ✨Engage with Scientific Concepts

    Since the role involves collaboration with scientists and technical stakeholders, brush up on relevant scientific concepts and methodologies. Be ready to discuss how you've previously translated complex scientific data into actionable outcomes, demonstrating your ability to bridge the gap between science and technology.

    ✨Demonstrate Your Learning Agility

    Highlight your ability to learn new tools and technologies quickly. Share specific instances where you had to adapt to new challenges or technologies, especially in the biopharma R&D domain. This will showcase your self-starter attitude and readiness to tackle uncertainties head-on.

    Scientific Data Architect - United Kingdom
    TetraScience
    Location: Cambridge

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