At a Glance
- Tasks: Join us in revolutionising drug design through AI and ML innovations.
- Company: Leading biopharmaceutical firm at the forefront of AI research.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Make a real difference in healthcare by applying cutting-edge technology to 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 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 meaningful impact on drug discovery and healthcare advancements.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer for Drug Design
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, conferences, or even online webinars related to AI and drug design. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with ML frameworks like PyTorch or TensorFlow. Share specific projects you've worked on that demonstrate your engineering prowess and problem-solving skills.
✨Tailor Your Approach
Before any interview, do your homework! Research the company’s recent projects and challenges in AI and drug design. Tailor your questions and answers to show how your background aligns perfectly with their needs.
✨Apply Through Our Website
Don’t forget to apply directly 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 team at StudySmarter.
We think you need these skills to ace AI Research Engineer for Drug Design
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in AI/ML and engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in drug design and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:When detailing your experience, focus on the specific tools and frameworks mentioned in the job description, like JAX, PyTorch, or TensorFlow. We want to know how you've used these in real-world applications, so give us the details!
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’s super easy – just follow the prompts and submit your materials!
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.
✨Show Off Your Engineering Skills
Highlight your general engineering experience and be prepared to talk about algorithms, software design, and any distributed systems you've worked with. They’ll want to see how you can apply your engineering background to complex problems in computational biology and chemistry.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on numerical methods, optimisation, and data structures. You might even be asked to solve a problem on the spot, so practice explaining your thought process clearly.
✨Be Collaborative
This role involves working closely with scientists and engineers, so demonstrate your ability to collaborate. Share examples of how you've contributed to team discussions or code reviews in the past, and show that you're keen to learn from others while sharing your own insights.
