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 Cloud solutions.
- Benefits: Enjoy competitive salary, equity, generous PTO, and flexible remote work options.
- Other info: Dynamic role with opportunities for rapid learning and career growth.
- Why this job: Make a real impact in biopharma R&D with cutting-edge technology and a supportive team.
- Qualifications: PhD or Masters in life sciences with extensive experience in data methodologies.
The predicted salary is between 36000 - 60000 £ 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 in City of London employer: TetraScience
TetraScience is an exceptional employer that fosters a supportive and team-oriented culture, perfect for those passionate about scientific data and AI technologies. With generous paid time off, flexible remote working arrangements, and a commitment to continuous improvement, employees are empowered to grow and thrive in their careers while making a meaningful impact in the life sciences sector. Join us to be part of a dynamic team that values innovation and collaboration, driving advancements in scientific intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Scientific Data Architect - United Kingdom in City of London
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at TetraScience, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like TetraScience. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Scientific Data Architect - United Kingdom in City of London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at TetraScience. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at TetraScience. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at TetraScience
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at TetraScience. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at TetraScience to drive research projects forward.
