At a Glance
- Tasks: Collaborate on drug discovery using machine learning and computational biology to develop life-changing therapies.
- Company: Join a bold and diverse team focused on accelerating oncology drug discovery.
- Benefits: Receive training, mentorship, and opportunities to attend industry conferences.
- Other info: Dynamic environment with strong support for career growth and collaboration.
- Why this job: Make a real impact in healthcare by advancing innovative therapeutics for patients.
- 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.
- Individuals with 5+ years of experience in a directly relevant drug-discovery setting will be considered for staff-level.
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.
Staff Computational Biologist - Oncology Drug Discovery employer: Recursion Pharmaceuticals
At Recursion, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our staff to make meaningful contributions in the field of oncology drug discovery. Our commitment to employee growth is evident through regular mentorship opportunities, training sessions, and the chance to engage with cross-functional teams, all while working in a dynamic environment that values bold ideas and rigorous science. Located in a vibrant area, our team enjoys access to cutting-edge resources and the opportunity to attend industry conferences, making Recursion a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Computational Biologist - Oncology Drug Discovery
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend conferences, workshops, or even local meetups related to oncology and computational biology. Building relationships can open doors and give you insider info on job opportunities.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with machine learning and drug discovery projects. Use specific examples to demonstrate how you've tackled complex problems and contributed to successful outcomes.
✨Tailor Your Approach
Before any interview, do your homework! Understand the company’s mission and how your background in computational biology aligns with their goals. This will help you articulate why you're the perfect fit for their team.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It shows your genuine interest in the role and gives us a chance to see your application in the best light. Plus, it’s the easiest way to stay updated on your application status!
We think you need these skills to ace Staff Computational Biologist - Oncology Drug Discovery
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for oncology and drug discovery! Share specific examples of how your experience aligns with our mission to bring life-changing therapies to patients. A bold attitude goes a long way!
Tailor Your CV:Make sure your CV highlights relevant skills and experiences that match the job description. We want to see your computational biology expertise and any collaborative projects you've been part of, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be sure to explain how your background in machine learning and data analysis can contribute to our team’s goals. Keep it engaging and personal!
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 and oncology drug discovery. Be ready to discuss your PhD work and how it relates to the role. Highlight any specific projects where you've applied machine learning techniques to biological data.
✨Show Your Collaborative Spirit
This role is all about teamwork, so be prepared to share examples of how you've worked with cross-functional teams in the past. Talk about how you’ve collaborated with data scientists, chemists, or engineers to achieve a common goal.
✨Communicate Clearly
You’ll need to explain complex analyses to non-technical team members, so practice simplifying your explanations. Use clear, concise language and be ready to demonstrate your exceptional data visualisation skills through examples from your previous work.
✨Be Bold and Passionate
The company values a bold, execution-first attitude, so don’t shy away from showcasing your passion for drug discovery. Share your vision for how you can contribute to bringing life-changing therapies to patients and how you approach challenges in your work.
