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- Tasks: Explore customer data, develop AI use cases, and engage with stakeholders to drive scientific innovation.
- Company: Join TetraScience, a leader in Scientific Data and AI revolutionising lab data management.
- Benefits: Competitive salary, equity options, generous PTO, and remote work opportunities.
- Why this job: Be at the forefront of AI in life sciences and make a real impact on scientific discovery.
- Qualifications: PhD with 15+ years in life sciences and strong coding skills preferred.
- Other info: Dynamic, collaborative environment with a focus on continuous improvement and customer engagement.
The predicted salary is between 36000 - 60000 £ per year.
TetraScience is the Scientific Data and AI company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We are the category leader in this vital new market, generating more revenue than all other companies in the aggregate.
In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in understanding whether TetraScience is the right fit for you from a values and ethos perspective. You are encouraged to reflect on whether you are aligned with our unique approach to company and team building.
You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in drug discovery/preclinical development, CMC, or Quality, you are skilled at uncovering innovative use cases that drive AI and machine learning applications.
Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. You should also be energized by regularly working onsite with customers.
You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand.
What You Have Done:
- PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality.
- Extensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing.
- Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization.
- Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus.
- Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred.
- Exceptional communication and storytelling ability to engage technical and executive stakeholders.
- Prior experience in customer-facing, consulting, or commercial-scientific interface roles.
What You Will Do:
- Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities.
- Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases.
- Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes.
- Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI.
- Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions.
- AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance.
- Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption.
- Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development.
Competitive salary and equity in a fast-growing company. Supportive, team-oriented culture of continuous improvement. Generous paid time off (PTO). Remote working opportunities, when not at customer sites.
Scientific Business Analyst - United Kingdom employer: TetraScience
Contact Detail:
TetraScience Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientific Business Analyst - United Kingdom
✨Tip Number 1
Get to know TetraScience inside out! Familiarise yourself with the Tetra Way letter and think about how your values align with theirs. This will not only help you in interviews but also show that you're genuinely interested in being part of their mission.
✨Tip Number 2
Network like a pro! Reach out to current or former employees on LinkedIn, join relevant groups, and engage in discussions. This can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for those face-to-face interactions! Brush up on your storytelling skills to effectively communicate your experiences and how they relate to the role. Remember, they want to see how you can bridge the gap between science and technology.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and ready to dive into the exciting world of scientific AI.
We think you need these skills to ace Scientific Business Analyst - 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: When writing your application, let your passion for bridging scientific insights and technology shine through. We want to see how you can transform complex data into actionable outcomes, so share your experiences that highlight this!
Tailor Your Application: Don’t just send a generic application! Tailor it to reflect your deep domain knowledge in drug discovery or preclinical development. Highlight specific experiences that align with the role and our mission at TetraScience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves, and 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 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 discussion.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples from your past experience where you've successfully transformed complex scientific data into actionable insights. Highlight your analytical mindset and how it has driven AI and machine learning applications in your previous roles.
✨Engage with Real-World Scenarios
Be ready to engage in discussions about customer data exploration and scientific use case development. Think of potential challenges customers might face and how you would approach solving them. This shows your proactive thinking and ability to collaborate effectively.
✨Demonstrate Communication Prowess
Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts. Your ability to communicate complex ideas to both technical and non-technical stakeholders will be vital, so prepare some storytelling examples that showcase this skill.
