At a Glance
- Tasks: Explore customer data and develop innovative AI/ML use cases in a collaborative environment.
- Company: Join TetraScience, a leader in scientific data and AI revolution.
- Benefits: Enjoy competitive salary, equity, generous PTO, and remote work options.
- Other info: Be part of a supportive culture focused on continuous improvement and career growth.
- Why this job: Make a real impact by bridging science and technology in cutting-edge projects.
- Qualifications: Analytical mindset with experience in drug discovery and strong coding skills preferred.
TetraScience is the Scientific Data and AI company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We bring these to life in a growing suite of next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes.
As a strategic, analytically minded professional, you will bridge 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 responsibilities will include:
- 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.
We offer a competitive salary and equity in a fast-growing company, a supportive, team-oriented culture of continuous improvement, generous paid time off (PTO), and remote working opportunities when not at customer sites.
Remote Scientific Business Analyst - United Kingdom employer: TetraScience
TetraScience is an exceptional employer that champions a supportive and team-oriented culture, fostering continuous improvement and innovation in the scientific data and AI sector. With competitive salaries, equity options, and generous paid time off, employees are empowered to thrive both professionally and personally, all while working remotely or engaging directly with customers. The opportunity for growth and collaboration with leading scientists and technologists makes TetraScience a unique and rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Scientific Business Analyst - United Kingdom
✨Tip Number 1
Get to know TetraScience inside out! Dive into their values and ethos by reading the Tetra Way letter. This will not only help you understand if you're a good fit but also give you some solid talking points during interviews.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Engaging with people already in the company can give you insider info and might even lead to a referral!
✨Tip Number 3
Show off your analytical skills! Prepare to discuss how you've tackled complex data challenges in the past. Use specific examples that highlight your ability to bridge science and technology, just like they do at TetraScience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team. Don’t forget to tailor your application to reflect the job description!
We think you need these skills to ace Remote 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 Analytical Skills:In your application, highlight your analytical mindset and how you've used it in past roles. We want to see how you can bridge scientific insights with tech, so don’t hold back on those examples!
Tailor Your Application:Make sure your application speaks directly to the job description. Use keywords and phrases that resonate with what we’re looking for, especially around AI, data analysis, and stakeholder engagement.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us!
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 and be ready to discuss this during the interview.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical mindset by discussing specific examples from your past experiences. Highlight how you've transformed complex scientific data into actionable insights, especially in drug discovery or preclinical development. Use clear, concise language to explain your thought process.
✨Engage with Stakeholders
Be ready to talk about your experience in engaging with both technical and executive stakeholders. Share examples of how you've conducted interviews or workshops to understand customer challenges. This will show your ability to bridge the gap between science and business effectively.
✨Demonstrate Technical Proficiency
Brush up on your coding or scripting skills, particularly in Python or AWS. Be prepared to discuss any relevant projects where you've used these skills to solve problems or enhance data analysis. This will help you stand out as a candidate who can contribute to AI and machine learning applications.
