At a Glance
- Tasks: Lead ADMET modelling and ML engineering for drug discovery projects.
- Company: Join a mission-driven tech company in the life sciences sector.
- Benefits: Enjoy fully remote work with competitive pay of Β£700-1,200 per day.
- Why this job: Make a real impact in drug discovery while collaborating with top experts.
- Qualifications: PhD in computational chemistry and 5+ years in drug discovery required.
- Other info: Contract length is 6-12 months, outside IR35.
A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on ADMET 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, youβll 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, collaborating closely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction.
- PhD in computational chemistry or equivalent
- Drug discovery experience (5y+)
- Hands-on ADMET modelling experience (broad scope)
- Hands-on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space
- 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
If interested, please apply here with your CV, and we will get back if itβs of interest to the client!
Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discover[...] employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discover[...]
β¨Tip Number 1
Make sure to showcase your hands-on experience with ADMET modelling and machine learning in your discussions. Be prepared to discuss specific projects where you've successfully applied these skills, as this will demonstrate your practical knowledge and expertise.
β¨Tip Number 2
Familiarise yourself with the latest trends and technologies in cheminformatics and drug discovery. Being able to speak confidently about current advancements and how they relate to the role will set you apart from other candidates.
β¨Tip Number 3
Network with professionals in the life sciences and computational chemistry fields. Engaging with others in the industry can provide valuable insights and potentially lead to referrals or recommendations for the position.
β¨Tip Number 4
Prepare to discuss your experience with collaborative model development and data privacy. Highlighting your ability to work within a federated data infrastructure will show that you understand the complexities of the role and can contribute effectively.
We think you need these skills to ace Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discover[...]
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your relevant experience in ADMET modelling and machine learning. Use specific examples from your past work that demonstrate your skills in computational chemistry and drug discovery.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for the role. Mention how your background aligns with the company's mission and the specific requirements of the position.
Highlight Technical Skills: In your application, emphasise your technical skills related to ML architecture and experimental planning. Be specific about the tools and methodologies you have used in previous projects.
Showcase Collaboration Experience: Since the role involves working closely with other engineers and researchers, include examples of successful collaborations in your application. Highlight any experience you have in consortiums or team-based projects.
How to prepare for a job interview at JR United Kingdom
β¨Showcase Your Technical Expertise
As a Principal ADMET Scientist, it's crucial to demonstrate your deep understanding of ADMET modelling and machine learning. Be prepared to discuss specific projects where you've applied these skills, highlighting your hands-on experience and the impact of your work.
β¨Communicate Clearly and Effectively
Given the collaborative nature of the role, strong communication skills are essential. Practice explaining complex concepts in simple terms, as you'll need to connect with various stakeholders. Use examples from your past experiences to illustrate your ability to convey technical information effectively.
β¨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in real-world situations. Think about challenges you've faced in drug discovery or ML model development and how you overcame them. This will showcase your critical thinking and adaptability.
β¨Demonstrate Leadership Without Management
While this position isn't about managing people, it involves influencing technical direction. Be ready to discuss how you've mentored others or led projects in the past. Highlight your ability to guide teams and contribute to a collaborative environment.