Remote Scientific Business Analyst - United Kingdom in Newport

Remote Scientific Business Analyst - United Kingdom in Newport

Newport Full-Time Home office (partial)
TetraScience

At a Glance

  • Tasks: Explore customer data and develop innovative AI/ML scientific use cases.
  • Company: Join TetraScience, a leader in Scientific Data and AI revolution.
  • Benefits: Competitive salary, equity, generous PTO, and remote work options.
  • Other info: Collaborative culture focused on continuous improvement and career growth.
  • Why this job: Make a real impact by bridging science and technology in a dynamic environment.
  • Qualifications: Analytical mindset with experience in drug discovery and strong coding skills.

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 connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.

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 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.

Remote Scientific Business Analyst - United Kingdom in Newport 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 truly rewarding place to advance your career.

TetraScience

Contact Details:

TetraScience Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Scientific Business Analyst - United Kingdom in Newport

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 tips 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 in Newport

Analytical Skills
Scientific Data Analysis
AI and Machine Learning Applications
Collaboration with Scientists and Engineers
Drug Discovery Knowledge
Quality Control Knowledge
Customer Engagement

Some tips for your application 🫡

Know the Tetra Way:Before you dive into your application, make sure to read the Tetra Way letter. It’s super important for understanding our values and ethos. Reflect on how your own values align with ours – it’ll help you stand out!

Show Your Analytical Skills:We’re looking for someone who can bridge scientific insights with tech. In your application, highlight your analytical mindset and any relevant experience in drug discovery or AI applications. Make it clear how you can turn complex data into actionable outcomes.

Engage with Your Storytelling:Your communication skills are key! Use your application to showcase your ability to engage both technical and executive stakeholders. Share examples of how you’ve effectively communicated complex ideas in the past.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!

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

Since stakeholder engagement is key in this role, practice articulating how you would approach conducting interviews and workshops with customers. Be ready to share strategies for understanding their challenges and how you can help them leverage AI in their data landscapes.

Brush Up on Technical Skills

Given the preference for coding or scripting skills, ensure you're comfortable discussing your experience with Python, AWS, or any relevant scientific tools. Prepare to talk about how you've used these skills in previous roles to drive AI and machine learning applications.