At a Glance
- Tasks: Build tools that transform complex data into actionable insights for drug discovery.
- Company: Join Recursion, a pioneering TechBio company revolutionising drug discovery with AI.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Other info: Dynamic team environment with opportunities for growth and innovation.
- Why this job: Make a real impact on healthcare by accelerating drug discovery processes.
- Qualifications: Expertise in TIBCO Spotfire, Python, and cloud platforms; experience in biotech preferred.
The predicted salary is between 86000 - 115500 € per year.
Your work will change lives. Including your own. The Impact You’ll Make At Recursion, we are reimagining drug discovery through a powerful synthesis of AI, automation, and deep scientific expertise. In this role, you will be the bridge between complex chemical data and the strategic systems that power our discovery programs. Your primary focus will be building the tools and infrastructure that support our computational designers and medicinal chemists in making data-driven decisions for the next steps in discovery programs. You will expose analytics that help us further automate the platform by closing the Design‑Make‑Test‑Learn (DMTL) loop to accelerate the design process. You will have high-level ownership of our analytical ecosystem—including the Spotfire library, data schemas, and automation services—transforming complex datasets into directed platform improvements. You will be at the center of our DMTL loop, creating the tools that empower our scientists to design novel, high‑quality drug candidates with unparalleled speed and precision. Your work will directly accelerate our portfolio, drive our partnerships, and contribute to our mission of decoding biology to radically improve lives.
In this role, you will:
- Build and maintain integrated project dashboards that serve as a core resource for design teams by syncing assay results with cross‑functional portfolio data.
- Code and manage robust repositories for Spotfire automation and BigQuery integration to streamline the flow of data across the discovery lifecycle.
- Design and evolve metrics and predictive modeling workflows that inform "next‑best" design recommendations and track project progress through the discovery lifecycle.
- Create automated reporting pipelines to proactively surface critical signals, ensuring project teams can take timely action on new scientific data.
- Collaborate cross‑functionally to translate strategic objectives into scalable analytical tools, using adoption metrics to prioritize features that deliver the greatest impact.
- Define and analyze metrics for product success, tool adoption, and scientific impact to ensure teams are focused on critical priorities for accelerating drug discovery.
- Identify and innovate on gaps in analytics maturity, taking responsibility for implementing solutions that modernize how our scientists interact with data.
- Contribute to the development of Agentic AI systems that leverage our data infrastructure to automate and enhance the understanding of Structure‑Activity Relationships (SAR).
The Team You’ll Join: You will be a core member of the Design Workflow team, an interdisciplinary group responsible for the end‑to‑end development and operation of our molecular design platform. We are the orchestration engine for the Hit‑to‑Lead (H2L) and Lead Optimization (LO) phases of drug discovery. Our team embodies a "Build & Operate" philosophy, intentionally integrating the development of the Recursion OS with its direct application in advancing our portfolio.
The Experience You’ll Need:
- Expert‑level proficiency in TIBCO Spotfire development, including experience managing automation services and measuring tool adoption through action logs.
- Advanced engineering foundation in Python, BigQuery, and Prefect, with a track record of maintaining production‑level repositories via Git.
- Experience in a major cloud provider (Google Cloud Platform preferred) to support scalable data infrastructure.
- Scientific domain knowledge of the drug discovery lifecycle and the specific data products required to support end‑to‑end chemist workflows.
- Proven ability to synthesize data from multiple domains—such as lab informatics, chemistry, and portfolio management—into clear, execution‑ready recommendations.
- Exceptional systems‑thinking and communication skills, with the ability to deconstruct complex scientific workflows and identify key leverage points.
- Practical experience with AI/ML frameworks applied to drug discovery and the development of agentic systems to automate complex scientific reasoning and SAR analysis.
- Degree in a relevant field (Chemistry, Cheminformatics, Engineering, or Computer Science) with significant professional experience in a biotech or pharmaceutical R&D setting.
Working Location & Compensation: This is an office‑based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £86,300 to £115,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
The Values We Hope You Share:
- We act boldly with integrity.
- We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.
- We care deeply and engage directly.
- We learn actively and adapt rapidly.
- We move with urgency because patients are waiting.
- We take ownership and accountability.
- We are One Recursion.
Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.
More About Recursion: Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine‑learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.
Senior Analytics Engineer employer: Menlo Ventures
At Recursion, we are not just transforming drug discovery; we are fostering a vibrant work culture that prioritises innovation, collaboration, and personal growth. Our London office offers a hybrid work environment, competitive compensation, and a comprehensive benefits package, ensuring that our employees thrive both professionally and personally. Join us to be part of a mission-driven team where your contributions will directly impact lives and advance the future of medicine.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Recursion. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your expertise in analytics or coding, make sure to share them during interviews. It’s all about demonstrating how you can make an impact.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of drug discovery and be ready to discuss how your experience aligns with Recursion's mission. We want to see your passion for making a difference.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about the opportunity to make a real impact in drug discovery. Share why this position at Recursion speaks to you and how your skills align with our mission.
Tailor Your CV:Don’t just send out the same CV for every job. Take a moment to tweak it for this specific role. Highlight your experience with TIBCO Spotfire, Python, and any relevant projects that showcase your analytical skills. We love seeing how your background fits into what we do!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us your story. Use it to explain how your past experiences have prepared you for this role. Be sure to mention any innovative solutions you've implemented in previous positions that could benefit our team at Recursion.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team and ready to take that next step in your career!
How to prepare for a job interview at Menlo Ventures
✨Know Your Tech Inside Out
Make sure you brush up on your TIBCO Spotfire development skills, as well as your knowledge of Python and BigQuery. Be ready to discuss how you've used these tools in past projects, especially in relation to automation services and data integration.
✨Understand the Drug Discovery Lifecycle
Familiarise yourself with the drug discovery process and the specific data products that support chemist workflows. This will help you articulate how your experience aligns with the role and how you can contribute to accelerating the design process.
✨Showcase Your Systems Thinking
Prepare examples that demonstrate your ability to deconstruct complex scientific workflows. Highlight instances where you've identified key leverage points that led to significant improvements in project outcomes or tool adoption.
✨Emphasise Collaboration Skills
Since this role involves cross-functional collaboration, be ready to share experiences where you've worked effectively with diverse teams. Discuss how you’ve translated strategic objectives into actionable analytical tools, showcasing your ability to communicate clearly and work towards common goals.