Senior Data Scientist, Industrialized Workflows

Senior Data Scientist, Industrialized Workflows

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data science initiatives to revolutionise drug discovery using advanced computational techniques.
  • Company: Join Recursion, a pioneering TechBio company transforming medicine through innovative technology.
  • Benefits: Competitive salary, peer support, learning opportunities, and access to conferences.
  • Other info: Collaborative culture with high expectations and a focus on continuous learning.
  • Why this job: Make a real impact in healthcare by applying your data science skills in a fast-paced environment.
  • Qualifications: 3-5+ years in data science, strong Python skills, and experience in biosciences preferred.

The predicted salary is between 60000 - 80000 £ per year.

We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the “why” of what we are trying to deliver and are resilient if the “how” of what we are doing needs to change.

The Experience You’ll Need

  • 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations.
  • Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross-disciplinary collaboration.
  • Experience working within a fast-paced interdisciplinary team to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds.
  • High fluency with the Python data stack (numpy, pandas, scikit-learn, etc).
  • Experience in collaborative data product development and peer code review, including version control tools like git.
  • Experience developing, releasing, and maintaining data products in a continuous-use production environment.
  • Nice to have: experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation, prompt engineering for LLMs, cheminformatics, OR analysis of RNA sequencing data.

How You’ll be Supported

  • You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems.
  • Receive real-time feedback on code quality and best practices from a team of peers.
  • Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science.
  • Option to attend conferences to learn more from colleagues, networks, and more to better your skillset.

The Values That We Hope You Share:

  • We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work.
  • We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress.
  • We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover.
  • Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking.
  • We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team.

Recursion spends time and energy connecting every aspect of work to these values. They aren’t static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work.

More About Recursion

Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands 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.

Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at www.Recursion.com, or connect on X (formerly Twitter) and LinkedIn.

Senior Data Scientist, Industrialized Workflows employer: Recursion Pharmaceuticals

Recursion is an exceptional employer for Senior Data Scientists, offering a dynamic work culture that prioritises collaboration and innovation in drug discovery. Located in Salt Lake City, employees benefit from a supportive environment with opportunities for professional growth through peer mentorship, regular tech talks, and participation in industry conferences. The company's commitment to its values fosters a sense of community and purpose, making it an ideal place for those looking to make a meaningful impact in the biosciences field.

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Contact Details:

Recursion Pharmaceuticals Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist, Industrialized Workflows

Tip Number 1

Network like a pro! Reach out to people in your field on LinkedIn or at industry events. Don’t be shy; ask for informational interviews to learn more about their experiences and share your passion for data science.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This is your chance to demonstrate how you can tackle real-world problems and make an impact.

Tip Number 3

Prepare for interviews by practising common data science questions and case studies. Think about how you can communicate complex concepts clearly, as you'll need to impress a diverse audience with your insights.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our mission at Recursion. Let’s make a difference together!

We think you need these skills to ace Senior Data Scientist, Industrialized Workflows

Probability
Statistics
Machine Learning
Python Data Stack
Numpy
Pandas
Scikit-learn

Some tips for your application 🫡

Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've applied your skills in real-world scenarios, especially in biosciences or interdisciplinary projects. We want to see your excitement for making an impact!

Tailor Your Application:Make sure to customise your application to highlight your experience with the Python data stack and any relevant projects you've worked on. We love seeing how your background aligns with our mission at Recursion, so don’t hold back on those details!

Communicate Clearly:Remember, we work with diverse teams, so it's crucial to communicate complex concepts in a straightforward way. Use clear language and avoid jargon where possible. This will help us understand your thought process and how you can contribute to our collaborative environment.

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 genuinely interested in joining our team at Recursion. Don’t miss out on this opportunity!

How to prepare for a job interview at Recursion Pharmaceuticals

Know Your Data Science Stuff

Make sure you brush up on your probability, statistics, and machine learning skills. Be ready to discuss how you've applied these concepts to real-world datasets, especially in the biosciences or pharmaceuticals. Prepare examples that showcase your experience in cross-disciplinary collaboration.

Show Off Your Python Skills

Since fluency with the Python data stack is crucial, be prepared to demonstrate your expertise with libraries like numpy, pandas, and scikit-learn. You might even want to bring a small project or code snippet to discuss during the interview to highlight your coding abilities.

Communicate Like a Pro

You’ll need to explain complex concepts to diverse audiences, so practice articulating your thoughts clearly and concisely. Think about how you can simplify technical jargon and make it relatable, especially when discussing your past projects and their impact.

Embrace the Company Values

Familiarise yourself with Recursion's values and think about how they resonate with your own work ethic. Be ready to share examples of how you’ve acted boldly with integrity, learned from failures, and delivered high-quality results in a team setting. This will show that you’re not just a fit for the role, but also for the company culture.