At a Glance
- Tasks: Join a dynamic team to advance drug discovery using machine learning and computational biology.
- Company: Innovative biotech company focused on bringing new therapeutics to patients.
- Benefits: Competitive salary, mentorship opportunities, and access to conferences in oncology.
- Other info: Collaborative environment with strong support for professional growth.
- Why this job: Make a real impact in healthcare by developing life-changing therapies.
- Qualifications: PhD in relevant field with experience in computational methods and drug discovery.
The predicted salary is between 50000 - 70000 £ 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.
Computational Biologist employer: Recursion Pharmaceuticals
Recursion is an exceptional employer for Computational Biologists, offering a dynamic and collaborative work environment that prioritises innovation in drug discovery. With a strong focus on employee growth through mentorship, training, and opportunities to attend industry conferences, Recursion fosters a culture of learning and bold execution. Located in a vibrant setting, the company values diversity and inclusion, ensuring that every team member feels supported and empowered to make a meaningful impact on patients' lives.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Biologist
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of computational biology and oncology. Attend relevant conferences or workshops, and don’t be shy about introducing yourself. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and drug discovery. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your ability to explain complex analyses in simple terms. Practice with friends or colleagues to ensure you can communicate your ideas clearly, especially to non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who align with our values. Make sure your application reflects your bold attitude and collaborative spirit!
We think you need these skills to ace Computational Biologist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your PhD and any relevant experience in computational biology or drug discovery, as we want to see how you fit into our interdisciplinary team.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for the role. Explain why you're excited about working with us at Recursion and how your background in oncology or machine learning can contribute to our mission of bringing new therapeutics to patients.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or R. We’re keen to see how you’ve applied computational methods to solve complex biological problems, so include specific examples of your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people and shows us you’re serious about joining our bold and collaborative 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 research 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 Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples of past collaborations. Think about times when you worked with data scientists, chemists, or engineers. Emphasise your ability to communicate complex analyses to non-technical team members.
✨Demonstrate Passion and Boldness
The company values a bold, execution-first attitude. Share your passion for deploying rigorous science to develop life-changing therapies. Discuss any challenges you've faced in your projects and how you tackled them head-on.
✨Visualisation is Key
Prepare to showcase your data visualisation skills. Bring examples of plots or presentations you've created that effectively communicate your findings. Being able to present complex data in an understandable way will set you apart from other candidates.
