At a Glance
- Tasks: Join us to revolutionise drug design using AI and ML in a collaborative research environment.
- Company: Cutting-edge biopharmaceutical company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team atmosphere with exciting projects at the forefront of science.
- Why this job: Make a real impact in healthcare by advancing AI technologies in drug discovery.
- Qualifications: PhD or relevant experience in AI/ML and strong engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- PhD in technical subject with major engineering component and exposure to AI/ML, or BSc, MSc and 2+ years of specific experience working on ML model development.
- Strong general engineering experience, as evidenced by exposure to one or more of:
- Software design / algorithms, especially for deep learning frameworks.
- Modern ML frameworks such as JAX, PyTorch or TensorFlow.
- Distributed systems and runtimes.
- Compilers (e.g. XLA, Triton, CUDA, Pallas).
- Large scale model training and serving infrastructure.
- Experience in navigating complex research codebases.
- Databases and data processing pipelines.
- Numerical methods, simulation, optimisation.
- Strong fundamentals in mathematics, statistics, linear algebra.
- Experience with the full ML research and development lifecycle.
- Strong understanding of ML theory and applications.
- Strong understanding of data structures and algorithms.
- (Desirable) Interest in chemistry and biology.
- (Desirable) Experience working with biomedical data.
- (Desirable) Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery.
What the job involves
- We are looking for Research Engineers with different levels of experience - Mid through to Senior, Staff, Principal or equivalent levels.
- This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design.
- Working in a highly creative, iterative environment, you will be partnering with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it.
- You will draw upon your existing engineering and Machine Learning experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.
- Translate research concepts into practical implementations by developing and optimising state-of-the-art AI models, and building and maintaining robust codebases, data pipelines, and infrastructure for training and evaluation.
- Design, implement, and run experiments to evaluate the performance and robustness of ML models, using a full spectrum of state-of-the-art machine learning methods.
- Evaluating, tuning, and maintaining AI/ML models (which includes collecting and preparing data as needed).
- Implement algorithms and software to analyse and evaluate the performance of AI models.
- Optimising performance of AI/ML models leveraging a deep understanding of the AI/ML hardware+software stack.
- Advise on how to bring AI/ML models to production and/or integrating them into product offerings, and monitoring and refining their behaviour.
- Developing specialised tools/frameworks/infrastructure to aid in the work above.
- Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment.
- Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that enable scaling our wider foundation and applied model platforms.
- Ability to execute on independent engineering projects and software development towards research goals.
AI Research Engineer for Drug Design in London employer: Isomorphic Labs
As an AI Research Engineer for Drug Design, you will join a pioneering team dedicated to transforming the biopharmaceutical landscape through innovative AI solutions. Our collaborative work culture fosters creativity and continuous learning, providing ample opportunities for professional growth while working alongside leading scientists and engineers in a state-of-the-art facility. With a focus on cutting-edge research and development, we offer a unique environment where your contributions can make a significant impact on drug discovery and healthcare advancements.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer for Drug Design in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and drug design fields 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 ML model development or any relevant engineering work. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail—this is your time to shine!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission in AI and drug design.
We think you need these skills to ace AI Research Engineer for Drug Design in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your PhD or relevant experience in AI/ML. We want to see how your background aligns with the job requirements, so don’t hold back on showcasing your engineering prowess and any cool projects you've worked on!
Tailor Your Application:Customise your CV and cover letter for this role. Use keywords from the job description to demonstrate that you understand what we’re looking for. This shows us you’re genuinely interested and have done your homework!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and experiences without wading through fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands quickly. Plus, you’ll find all the info you need about the role and our company there!
How to prepare for a job interview at Isomorphic Labs
✨Know Your Stuff
Make sure you brush up on your AI/ML knowledge, especially around the frameworks mentioned like JAX, PyTorch, and TensorFlow. Be ready to discuss your experience with model development and any specific projects you've worked on that relate to drug design or computational biology.
✨Showcase Your Engineering Skills
Highlight your general engineering experience by discussing software design, algorithms, and any exposure to distributed systems. Prepare examples of how you've navigated complex codebases or optimised performance in previous roles.
✨Be Ready for Technical Questions
Expect to dive deep into ML theory and applications during the interview. Brush up on your understanding of data structures, algorithms, and numerical methods. Practise explaining these concepts clearly, as you may need to demonstrate your thought process when solving problems.
✨Demonstrate Collaboration
Since this role involves working closely with scientists and engineers, be prepared to discuss how you've contributed to team discussions and code reviews in the past. Share examples of how you've fostered a collaborative environment and tackled technical challenges together.
