At a Glance
- Tasks: Lead ML solutions for drug discovery, focusing on ADMET modelling and data privacy.
- Company: Mission-driven tech company in life sciences, fully remote and innovative.
- Benefits: Up to £160,000 salary, equity options, flexible hours, and remote work.
- Other info: Collaborative environment with significant influence over technical direction and career growth.
- Why this job: Make a real impact in drug discovery with cutting-edge machine learning technologies.
- Qualifications: PhD in computational chemistry, 5+ years in drug discovery, and hands-on modelling experience.
The predicted salary is between 160000 - 160000 £ per year.
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'll 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.
- Fully Remote Working Culture.
- 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 Leigh employer: Owen Thomas | B CorpTM
Join a mission-driven technology company at the forefront of life sciences, where you'll have the opportunity to lead innovative machine learning initiatives in drug discovery from the comfort of your home. With a fully remote work culture, competitive salary up to £160,000, attractive stock options, and flexible hours, this role not only offers significant influence over technical direction but also fosters a collaborative environment that prioritises employee growth and development. Embrace the chance to make a meaningful impact while working alongside passionate professionals dedicated to advancing healthcare solutions.
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 Leigh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or any projects related to ADMET or Structural Biology, make sure to highlight them during interviews. Real-world examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your thought process. We all know that confidence is key!
✨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 who are eager to join our mission-driven team.
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 Leigh
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 experimentation, make sure to highlight your technical expertise. Mention specific tools and techniques you’ve used, like graph neural networks or transformers, to demonstrate your hands-on experience.
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 upload your CV and cover letter!
How to prepare for a job interview at Owen Thomas | B CorpTM
✨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 them. This will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you've tackled complex problems in drug discovery. Highlight how you approached data privacy and security in your models. This is crucial for the role, so having concrete examples will help you stand out.
✨Communicate Clearly
As a Principal Machine Learning Scientist, you'll need to connect with various stakeholders. Practice explaining your work in simple terms, especially when discussing technical concepts. This will demonstrate your ability to mentor others and collaborate effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to federated data infrastructure and their current challenges in drug discovery. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
