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- Tasks: Lead ML solutions for drug discovery using cutting-edge techniques and ensure data privacy.
- Company: Mission-driven tech company in life sciences, focused on innovative drug discovery.
- Benefits: Up to £160,000 salary, attractive stock options, flexible hours, and remote work.
- Why this job: Make a real impact in drug discovery while working with advanced machine learning technologies.
- Qualifications: PhD in computational chemistry, 5+ years in drug discovery, and hands-on modelling experience.
- Other info: Collaborative environment with significant influence over technical direction and career growth.
The predicted salary is between 96000 - 112000 £ per year.
The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure.
In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You will be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborate closely with leadership and mentor other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction.
Responsibilities:- Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers.
- Lead the research and implementation of data privacy within the models and establish privacy attack-surface assessment.
- Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation.
- Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling.
- Author or contribute to scientific publications or open-source software where appropriate.
- Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases.
- Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment.
- Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation.
- PhD in computational chemistry or equivalent.
- Drug discovery experience (5y+).
- Hands-on ADMET or Structural Biology modelling experience (broad scope).
- Hands-on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space.
- Strong understanding of OpenFold, AlphaFold, Boltz and co-folding.
- Confidence in building silico models.
- Excellent communicator and connecting stakeholders.
- Excellent planning capabilities for experimental planning and execution.
- Experience in working in consortium is a plus.
- Up to £160,000 Base Salary.
- Attractive Stock Options.
- B2B & Full time employee options.
- Flexible hours +/- 3 hours of CET time zone.
If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!
Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits in Altrincham employer: Owen Thomas | Pending B Corp™
Contact Detail:
Owen Thomas | Pending B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits in Altrincham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at conferences. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ADMET or Structural Biology. 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 soft skills. Practice common questions and think about how your experience aligns with the role's requirements.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits in Altrincham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ADMET or Structural Biology modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant 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 drug discovery and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role is all about ML architecture and data privacy, make sure to highlight your hands-on experience with ML models and any specific tools like OpenFold or AlphaFold. We’re looking for someone who can hit the ground running!
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 mission-driven team!
How to prepare for a job interview at Owen Thomas | Pending B Corp™
✨Know Your Stuff
Make sure you brush up on your knowledge of ADMET and Structural Biology modelling. Be ready to discuss specific techniques like graph neural networks and transformers, as well as your hands-on experience with ML models in drug discovery.
✨Showcase Your Communication Skills
As a Principal Machine Learning Scientist, you'll need to connect with various stakeholders. Prepare examples of how you've effectively communicated complex ideas in the past, whether through presentations, publications, or team collaborations.
✨Demonstrate Your Problem-Solving Skills
Think of scenarios where you've tackled challenges in computational chemistry or data privacy. Be ready to explain your thought process and the strategies you employed to overcome these hurdles.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company's approach to federated data infrastructure and their vision for the future of drug discovery. This shows your genuine interest and helps you assess if it's the right fit for you.