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- Tasks: Design and implement innovative data models for scientific use cases in a collaborative environment.
- Company: Join TetraScience, the leader in Scientific Data and AI Cloud solutions.
- Benefits: Competitive salary, equity, generous PTO, and flexible remote work options.
- Other info: Dynamic culture focused on continuous improvement and professional growth.
- Why this job: Be part of a revolutionary team transforming the life sciences industry with cutting-edge technology.
- Qualifications: PhD or Masters in life sciences with extensive experience in drug discovery and AI/ML applications.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Scientific Data Architect – United Kingdom
Who We Are
TetraScience is the Scientific Data and AI Cloud company, 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.
Who You Are
You are a product‑mind ed, outcome‑obsessed driver of technical scientific solutions, a high‑velocity self‑starter who refuses to let uncertainty obstruct your path. You roll up your sleeves, prototype, demo, and build to accelerate delivery, collaborate with scientists, product managers, and engineers, and transform complex scientific data into actionable outcomes. You bring rich experience applying cutting‑edge data methodologies to the biopharma R&D domain, are an insatiable learner, and embody extreme ownership, having built extensible data models and applications for Biopharma end users.
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, preclinical development, CMC, 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 excellent communication and storytelling abilities
- Advised scientists in a consulting capacity to further research, development, and quality testing outcomes
Requirements
- Strong programming skills in Python and data modeling (tabular & JSON)
- Experience with lab software integration (ELN/LIMS) via APIs
- Knowledge of scientific data pipelines and instrument output file formats
- Ability to design and implement data visualizations and application frameworks (e.g., Streamlit, Plotly, holoviews)
- Experience in collaborating with Scientific Business Analysts, customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid)
- Rapid learning of new technologies, such as AWS services or scientific analysis applications
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:
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- Data model design (tabular & JSON)
- Python‑based parser development
- Lab software integration via APIsData visualization and app development in Python (app frameworks like Streamlit, Plotly, holoviews)
- 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 prioritize our 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
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.
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Scientific Data Architect - United Kingdom employer: TetraScience
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! Before your interview, read the Tetra Way letter thoroughly. It’s not just a formality; it’ll help you understand their values and how you can fit in. Show them you’re aligned with their ethos!
✨Tip Number 2
Be ready to showcase your problem-solving skills! Prepare examples of how you've tackled complex scientific data challenges in the past. They want to see your hands-on experience and how you can drive outcomes in real-world scenarios.
✨Tip Number 3
Don’t just talk about your technical skills; demonstrate them! If you’ve built data models or integrated lab software, bring that up. Maybe even prepare a mini-demo if you can. It’ll show you’re proactive and ready to roll up your sleeves.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the TetraScience team. Let’s get you that job!
We think you need these skills to ace Scientific Data Architect - United Kingdom
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.
Show Your Passion for Science: When writing your application, let your enthusiasm for scientific data and AI shine through! We want to see how your experience aligns with our mission to revolutionise the life sciences industry.
Highlight Collaboration Skills: We thrive on teamwork, so be sure to mention any experiences where you’ve collaborated with scientists, product managers, or engineers. Show us how you can bridge the gap between technical solutions and scientific needs!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at TetraScience
✨Know the Tetra Way
Before your interview, make sure to read and reflect on the Tetra Way letter. This document is crucial for understanding the company's values and ethos. Think about how your own values align with theirs, as this will be a key topic during your conversation.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data models, AI/ML-driven use cases, and cloud environments. Bring examples of your past work that demonstrate your ability to design and implement solutions. Highlight any specific projects where you collaborated with cross-functional teams to achieve scientific outcomes.
✨Communicate Effectively
Practice explaining complex scientific concepts in simple terms. You’ll need to engage with both scientists and business leaders, so being able to tell a compelling story about your work is essential. Use clear examples to illustrate your points and show how your contributions have made an impact.
✨Demonstrate Your Learning Agility
TetraScience values insatiable learners, so be ready to discuss how you've quickly adapted to new tools and methodologies in the past. Share specific instances where you’ve had to learn something new to solve a problem or improve a process, and how that experience has shaped your approach to challenges.