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For Companies At a Glance
- Tasks: Transform complex scientific data into actionable insights and collaborate with scientists and engineers.
- Company: Join TetraScience, a leader in Scientific Data and AI revolution.
- Benefits: Competitive salary, equity, generous PTO, and remote work options.
- Why this job: Make a real impact in scientific discovery and drive AI innovation.
- Qualifications: PhD or Masters with extensive experience in life sciences and data-driven solutions.
- Other info: Dynamic, collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Who We Are
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. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships.
Who You Are
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 will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to be software-savvy and data fluent with skills to translate scientific workflow to data-related requirements and understand the software implication. 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.
Requirements
- PhD with +5 years or Masters with +10 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 data-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization. Proven experience and capability to analyze and articulate the business impact of the data-driven solutions via ROI analysis, live presentation, case study.
- Exceptional communication and storytelling ability to engage technical and executive stakeholders.
- Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus.
- Prior experience in customer-facing, consulting, or commercial-scientific interface roles.
- Comfortable with basic scripting and data structures, and familiarity with software tools, databases.
What You Will Do
- Engage directly with customers onsite up to 4-5 days per week in the UK Region.
- 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.
Benefits
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 in London employer: TetraScience
Contact Detail:
TetraScience Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientific Business Analyst in London
✨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 employees on LinkedIn or attend industry events where TetraScience might be present. Building connections can give you insider info and potentially a referral, which is always a bonus!
✨Tip Number 3
Prepare for those onsite customer interactions! Brush up on your communication skills and think about how you can effectively engage with both scientists and business leaders. Being able to translate complex data into actionable insights is key!
✨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 serious about joining the team at TetraScience.
We think you need these skills to ace Scientific Business Analyst in London
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 and Tech: When writing your application, let your enthusiasm for bridging scientific insights with cutting-edge technology shine through. We want to see how you can transform complex data into actionable outcomes!
Highlight Relevant Experience: Make sure to showcase your experience in drug discovery, preclinical development, or any relevant areas. We’re looking for those who can demonstrate their ability to drive AI and machine learning applications in life sciences.
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. Aligning your responses with these principles will show that you’re a good cultural fit.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples from your experience where you've transformed complex scientific data into actionable insights. Highlight your analytical mindset and how it has driven successful outcomes in previous roles, especially in drug discovery or preclinical development.
✨Engage with Real-World Scenarios
Be ready to engage in discussions about real-world applications of AI and machine learning in life sciences. Think of innovative use cases you’ve encountered or developed, and be prepared to articulate their business impact clearly.
✨Demonstrate Communication Prowess
Practice explaining technical concepts in a way that’s accessible to both scientists and business leaders. Your ability to tell a compelling story about your work will be key in showcasing your exceptional communication skills during the interview.
