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- Tasks: Lead ML solutions for drug discovery, focusing on data privacy and cutting-edge techniques.
- Company: Mission-driven tech company in life sciences, fully remote work culture.
- Benefits: Competitive salary up to £160,000, early equity, and comprehensive benefits.
- Other info: Significant influence over technical direction with excellent growth opportunities.
- Why this job: Make a real impact in drug discovery while advancing your career in a high-tech environment.
- Qualifications: Experience in machine learning, computational chemistry, and data privacy.
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 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.
Principal Machine Learning Researcher (Privacy/Risk) | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary , plus early equity+benefits in Southampton employer: Owen Thomas | B Corp™
Contact Detail:
Owen Thomas | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Researcher (Privacy/Risk) | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary , plus early equity+benefits in Southampton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at conferences. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML and data privacy. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and case studies relevant to drug discovery and ML. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in our mission and values. It’s a great way to stand out from the crowd.
We think you need these skills to ace Principal Machine Learning Researcher (Privacy/Risk) | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary , plus early equity+benefits in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Principal Machine Learning Researcher. Highlight your experience with ADMET, structural biology modelling, and any relevant machine learning projects. We want to see how your skills align with our mission in drug discovery!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data privacy and risk in machine learning. Share specific examples of your work that demonstrate your expertise and how you can contribute to our team at StudySmarter.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in ML architecture and experimentation. Mention any experience with graph neural networks or transformers, as these are key to the role. We love seeing candidates who can back up their claims with solid examples!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at Owen Thomas | B Corp™
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning, especially around ADMET and data privacy. Familiarise yourself with graph neural networks and transformers, as these are key to the role. Being able to discuss recent advancements or your own experiences will show that you're not just a candidate, but a passionate expert.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of your previous work in ML architecture and experimentation. Highlight any projects where you’ve implemented privacy measures or worked with federated data infrastructures. This will demonstrate your practical knowledge and how you can contribute to their mission-driven approach.
✨Collaboration is Key
Since this role involves working closely with leadership and mentoring others, be ready to discuss your collaborative experiences. Think of times when you led a project or helped a colleague overcome a challenge. This will illustrate your ability to influence technical direction without being in a formal management position.
✨Prepare Questions
Have a few thoughtful questions ready about the company’s approach to data privacy and their vision for the future of drug discovery. This shows your genuine interest in the role and helps you assess if the company aligns with your values and career goals.