Computational Biologist - Tooling Team

Computational Biologist - Tooling Team

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

  • Tasks: Join a dynamic team to advance drug discovery using machine learning and computational biology.
  • Company: Innovative TechBio company focused on revolutionising drug discovery.
  • Benefits: Competitive salary, mentorship opportunities, and access to conferences.
  • Other info: Collaborative environment with strong focus on learning and growth.
  • Why this job: Make a real impact in healthcare by developing life-changing therapies.
  • Qualifications: PhD in relevant field with experience in oncology or drug discovery.

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

The Team You’ll Join

We are building an interdisciplinary group centered on machine learning and inference-based discovery of drug programs from first principles. Close collaboration between computational biologists across multiple therapeutic areas (primarily oncology) and with data scientists on the core build teams provides a strong network of feedback and support in setting timelines, refining ideas, automating repetitive workflows, piloting, productionalizing and more. Our group is a bold, agile, diverse collective of biological, computational, drug discovery, and machine learning scientists deeply focused on the singular goal of bringing new therapeutics to patients at an accelerated pace. You will collaborate extensively with data scientists, chemists, engineers, commercial strategists, and biologists throughout the organization to advance milestones and provide insights to further advance Recursion’s capabilities. Essential attributes to this role include a bold, execution-first attitude and passion for deploying rigorous science to bring life-changing therapies to patients.

The Experience You’ll Need

  • PhD in a relevant field (computational biology, bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, etc.) with 3+ years of experience applying professional competencies to fundamental problems in oncology or drug discovery
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze complex biological and/or human clinical data
  • Fluency and experience working with high-level programming language such as Python or R for complex data analysis
  • General understanding of small molecule drug discovery and pharmacology
  • Efficiency in advancing drug-discovery projects, carrying and prioritizing among multiple projects and efficiently advancing projects to proof of concept
  • Experience in efficiently advancing drug program projects from proof of concept to preclinical. Industry oncology drug discovery experience preferred
  • Bold, passionate and highly collaborative with experience working in cross-functional teams
  • Ability to clearly explain computational analyses and methodologies to cross-functional and non-technical teams
  • Exceptional data visualization skills through creation of plots, documentation and presentations

Nice To Have:

  • Experience designing high throughput experiments to address biological questions, either on your own or in collaboration with bench scientists
  • Experience analyzing data from imaging- and/or genomics-based modalities
  • Experience evaluating and prioritizing compounds during SAR and lead optimization cycles

How You'll be Supported:

  • Training on Recursion’s culture and values and our Drug Discovery & Development processes to provide insight to our unique approach and strategy for success
  • Regular 1:1s with supervisor and colleagues provide opportunities for support and feedback
  • Opportunity to attend conferences and workshops in Oncology and / or Computational Biology
  • Multiple opportunities for leadership and mentorship training as well as working with cross-functional teams

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.

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.

Recursion is an Equal Opportunity Employer that values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.

Computational Biologist - Tooling Team employer: Recursion Pharmaceuticals

Recursion is an exceptional employer that fosters a collaborative and innovative work culture, where interdisciplinary teams unite to accelerate drug discovery through cutting-edge technology and machine learning. Located in Salt Lake City, employees benefit from a vibrant life sciences community, ample opportunities for professional growth, and a commitment to values that prioritise care, learning, and bold action. With regular mentorship training and support for attending industry conferences, Recursion empowers its team members to make meaningful contributions to the future of medicine.

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Contact Details:

Recursion Pharmaceuticals Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Computational Biologist - Tooling Team

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 project or a piece of code that highlights your computational biology expertise, share it. A personal portfolio can really make you stand out.

Tip Number 3

Prepare for interviews by diving deep into Recursion's values and mission. Be ready to discuss how your experience aligns with their goals, especially around drug discovery and collaboration.

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 being part of the Recursion team.

We think you need these skills to ace Computational Biologist - Tooling Team

Computational Biology
Bioinformatics
Statistics
Quantitative Pharmacology
Oncology Knowledge
Machine Learning Techniques
Python Programming

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for computational biology and drug discovery shine through. We want to see that you’re not just qualified, but genuinely excited about the work we do at Recursion!

Tailor Your CV:Make sure your CV highlights relevant experience in oncology and drug discovery. We love seeing how your background aligns with our mission, so don’t be shy about showcasing your skills in machine learning and data analysis.

Be Clear and Concise:In your written application, clarity is key! Use straightforward language to explain your experiences and methodologies. Remember, we’re a diverse team, and not everyone will have a technical background.

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 shows you’re keen on joining our team!

How to prepare for a job interview at Recursion Pharmaceuticals

Know Your Stuff

Make sure you brush up on your computational biology knowledge, especially in oncology and drug discovery. Be ready to discuss your PhD work and how it relates to the role. Highlight any experience with machine learning techniques and how you've applied them to real-world problems.

Showcase Your Collaboration Skills

Since this role involves working closely with cross-functional teams, prepare examples of past collaborations. Talk about how you’ve effectively communicated complex analyses to non-technical team members and how you’ve contributed to team success.

Demonstrate Your Passion

Recursion values boldness and passion for bringing life-changing therapies to patients. Share your motivation for working in drug discovery and how your personal values align with the company’s mission. This will show that you’re not just looking for a job, but are genuinely invested in their goals.

Prepare for Technical Questions

Expect technical questions related to programming languages like Python or R, and be ready to discuss your data visualisation skills. You might be asked to explain your approach to analysing complex datasets, so practice articulating your thought process clearly and confidently.