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For Companies At a Glance
- Tasks: Engage with customers to explore data and develop innovative AI/ML use cases.
- Company: Join TetraScience, a leader in Scientific Data and AI revolution.
- Benefits: Competitive salary, equity, generous PTO, and remote work options.
- Why this job: Transform scientific data into actionable insights and drive real-world impact.
- Qualifications: PhD or Masters with extensive experience in life sciences and data-driven solutions.
- Other info: Dynamic, collaborative environment with opportunities for personal and professional growth.
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.
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 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.
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.
- Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities.
- Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases.
- Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes.
- Perform exploratory data analysis and define transformation workflows that enable scientific AI.
- Develop visual documentation including workflow diagrams, ERDs, and ontology definitions.
- Provide practical scientific input on model output, with suggestions to improve real-world performance.
- Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption.
- 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 - United Kingdom in Langley employer: TetraScience
Contact Detail:
TetraScience Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientific Business Analyst - United Kingdom in Langley
✨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. Building connections can give you insider info and might even lead to referrals, which can be a game-changer in landing that job.
✨Tip Number 3
Prepare for those onsite interviews! Brush up on your scientific data workflows and be ready to discuss how you've tackled similar challenges in the past. Show them you can translate complex data into actionable insights that drive results.
✨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 and ready to contribute to the scientific AI revolution.
We think you need these skills to ace Scientific Business Analyst - United Kingdom in Langley
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: Make sure to tailor your application to reflect the specific skills and experiences mentioned in the job description. Highlight your expertise in drug discovery or preclinical development, and don’t forget to mention any hands-on experience you have with scientific data workflows.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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 by Patrick Grady. Understanding their values and ethos is crucial, as it will help you determine if you're a good fit and show that you align with their company culture.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples from your experience where you've transformed complex scientific data into actionable outcomes. Highlight your ability to analyse data and articulate its business impact, especially in terms of ROI analysis or case studies.
✨Engage with Stakeholders
Be ready to demonstrate your exceptional communication skills. Practice how you'll engage both technical and executive stakeholders during the interview. Think of ways to tell compelling stories about your past experiences that showcase your ability to bridge the gap between science and technology.
✨Demonstrate Your Software Savviness
Brush up on your knowledge of software tools and databases relevant to life sciences. Be prepared to discuss how you've used scripting or data structures in your previous roles, and how this knowledge can help you develop requirements for complex solutions in R&D and Quality.
