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- Tasks: Join a team to revolutionise drug design using AI and computational chemistry.
- Company: Isomorphic Labs, a pioneering biotech firm focused on curing diseases with AI.
- Benefits: Hybrid working model, inclusive culture, and opportunities for personal growth.
- Why this job: Make a real impact in healthcare by solving complex drug design challenges.
- Qualifications: PhD in relevant field and 5+ years of industry experience required.
- Other info: Collaborative environment with a commitment to learning and development.
The predicted salary is between 36000 - 60000 £ per year.
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming, enabled by the power of machine learning, with diseases curtailed or cured starting with better and faster drug discovery. Join an interdisciplinary team driving groundbreaking innovation and contribute toward ambitious goals in a collaborative culture.
Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful predictive and generative AI models that accelerate scientific discovery at digital speed. We believe there is an underlying symmetry between biology and information science, and we harness AI to model complex biological phenomena to help design novel molecules, anticipate drug performance, and develop innovative medicines to treat and cure devastating diseases. We have built a world-leading drug design engine capable of working across multiple therapeutic areas and drug modalities and continue to innovate on model architecture and capabilities to advance rational drug design.
Your impact: You will play an integral role in our drug discovery project teams, applying your knowledge and track record of modern drug design principles to provide strategic input to advance our programs. You will apply the latest AI to computational drug design and gain hands-on experience using state-of-the-art tools for real-world challenges. Working alongside world-leading AI/ML Drug Design Platform teams, you will deliver scientific expertise and strategic direction to drive improvements in our platform. If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs now offers an opportunity for personal growth and development.
What You Will Do:
- Apply your expertise in computational drug design to solve drug design problems and provide technical direction to our Platform teams.
- Collaborate internally and with third-party organisations to support data-driven delivery of high-quality designs and solutions to complex technical problems.
- Prepare detailed scientific proposals and reports to support new and ongoing drug discovery programs.
- Mentor and support the development of more junior colleagues in our growing team.
- Embrace and champion our culture of inclusion and continuous professional development.
Skills and qualifications:
Essential:
- PhD in Computational Chemistry, Medicinal Chemistry, Synthetic Organic Chemistry (or related technical field), or equivalent industrial experience.
- 5+ years of industrial experience in computational chemistry (CADD) in a biotech or pharma setting.
- Strong foundational knowledge of modern computational chemistry, including core concepts (cheminformatics, virtual screening, docking, machine learning models, model assessment).
- Experience contributing to structure-based drug design (SBDD) with a proven track record of success.
- Experience writing and implementing Python scripts or using pipelining tools to support project teams in cheminformatics and computational chemistry workflows.
- A genuine passion for applying AI/ML to drug design and its potential to transform the field.
- Excellent written and verbal communication and interpersonal skills, with the ability to work effectively in cross-functional teams.
- Strong growth mindset, adaptability, and eagerness to learn new concepts and techniques.
Nice to have:
- Experience working with or managing activities at contract research organisations (CROs).
- Familiarity with medicinal chemistry techniques (data analysis software, ADMET principles).
- Knowledge of FBDD and additional modalities like PROTACs, molecular glues, PPI inhibitors or stabilisers.
- Basic understanding of DMPK principles.
- Fluency in Python with ability to write code for new tools.
- Track record of authorship of scientific manuscripts or inventorship of patents.
Culture and values: We are guided by shared values that shape our work. Thoughtful, brave, determined, together, and a commitment to creating an extraordinary company define how we operate. We value curiosity, collaboration, integrity, and a culture that supports learning and growth.
We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital or civil partnership status, sexual orientation, gender identity, pregnancy or related condition, or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please let us know.
Hybrid working: We follow a hybrid model to share knowledge and build strong relationships. You would need to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on your team). If you have needs that would prevent this, we are happy to discuss during the screening process.
Computational Drug Designer in London employer: Isomorphic Labs
Contact Detail:
Isomorphic Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Drug Designer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of computational drug design on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and drug design. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments like Isomorphic Labs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Computational Drug Designer in London
Some tips for your application 🫡
Show Off Your Expertise: When you're writing your application, make sure to highlight your PhD and any relevant experience in computational chemistry. We want to see how your background aligns with our mission at Isomorphic Labs!
Tailor Your Proposal: Craft your scientific proposals and reports to reflect the specific challenges we face in drug discovery. This shows us that you understand our goals and are ready to contribute from day one.
Be Clear and Concise: In your written application, clarity is key! Use straightforward language to explain your ideas and experiences. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it reaches the right team.
How to prepare for a job interview at Isomorphic Labs
✨Know Your Stuff
Make sure you brush up on your knowledge of computational chemistry and drug design principles. Be ready to discuss your experience with cheminformatics, virtual screening, and machine learning models. This is your chance to showcase your expertise and how it aligns with the innovative work at Isomorphic Labs.
✨Show Your Passion for AI/ML
Isomorphic Labs is all about using AI to transform drug discovery. Be prepared to talk about your genuine passion for applying AI and machine learning in your work. Share examples of how you've used these technologies in past projects and how you envision their future impact in the field.
✨Collaboration is Key
Since the role involves working with cross-functional teams, highlight your teamwork skills. Prepare examples of successful collaborations you've had in the past, especially in a biotech or pharma setting. Show that you can communicate effectively and support your colleagues, as this is crucial for driving improvements in their platform.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about Isomorphic Labs' culture, ongoing projects, and their approach to drug design. This not only shows your interest in the company but also helps you determine if it's the right fit for you. Plus, it demonstrates your proactive mindset and curiosity.
