Senior Computational Biologist, Tooling & ML Automation

Senior Computational Biologist, Tooling & ML Automation

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

  • Tasks: Join a dynamic team to revolutionise drug discovery using machine learning and computational biology.
  • Company: Innovative TechBio company focused on decoding biology for drug development.
  • Benefits: Competitive salary, mentorship opportunities, and access to conferences in oncology and computational biology.
  • Other info: Collaborative environment with strong focus on learning and delivering results.
  • Why this job: Make a real impact on patient lives by advancing groundbreaking therapeutics.
  • Qualifications: PhD in relevant field with experience in computational methods and drug discovery.

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

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.

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 Computational Biologist, Tooling & ML Automation 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 machine learning and computational biology. Located in Salt Lake City, employees benefit from a vibrant life sciences community, ample opportunities for professional growth, and a commitment to impactful work that prioritises patient care. With regular mentorship training, support for attending industry conferences, and a strong emphasis on shared values, Recursion empowers its team members to act boldly and deliver meaningful results.

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Contact Details:

Recursion Pharmaceuticals Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Computational Biologist, Tooling & ML Automation

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Recursion. Use LinkedIn to connect and engage with them. A friendly message can go a long way in getting your foot in the door.

Tip Number 2

Prepare for interviews by brushing up on your technical skills and understanding of drug discovery. Be ready to discuss your past projects and how they relate to the role. We want to see your passion for computational biology shine through!

Tip Number 3

Showcase your collaborative spirit! Highlight experiences where you worked in cross-functional teams. At Recursion, we value teamwork, so let us know how you’ve contributed to group success in the past.

Tip Number 4

Don’t forget to 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 our mission to revolutionise drug discovery.

We think you need these skills to ace Senior Computational Biologist, Tooling & ML Automation

Computational Biology
Bioinformatics
Statistics
Quantitative Pharmacology
Oncology
Machine Learning Techniques
Python

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Computational Biologist role. Highlight your PhD, relevant experience in oncology, and any computational methods you've applied.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about drug discovery and how your background makes you a great fit for our team. Be bold and let your personality shine through!

Showcase Your Technical Skills:Don’t forget to mention your fluency in programming languages like Python or R. We want to see how you've used these tools to tackle complex biological data analysis.

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 knowledge of computational biology, drug discovery, and machine learning techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in oncology. This will show that you’re not just familiar with the concepts but can also apply them effectively.

Show Your Collaborative Spirit

Since this role involves working closely with cross-functional teams, be prepared to share examples of how you've successfully collaborated with data scientists, chemists, and other professionals. Highlight your ability to communicate complex ideas clearly to non-technical team members.

Demonstrate Your Passion

Recursion values boldness and passion for bringing life-changing therapies to patients. During the interview, express your enthusiasm for the field and your commitment to advancing drug discovery. Share any personal experiences or motivations that drive your work in this area.

Prepare for Technical Questions

Expect to face technical questions related to programming languages like Python or R, as well as statistical methods and data visualisation techniques. Brush up on your coding skills and be ready to explain your thought process when tackling complex data analysis problems.