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- Tasks: Design and generate small molecules for innovative drug discovery using AI and quantum physics.
- Company: Join a cutting-edge biotech firm revolutionizing drug discovery with generative AI.
- Benefits: Collaborate with top experts, mentor juniors, and enjoy a dynamic work environment.
- Why this job: Be part of a mission-driven team tackling critical diseases with advanced technology.
- Qualifications: Ph.D. in relevant fields and 3+ years in drug discovery required.
- Other info: Apply quickly; this popular position may close soon!
The predicted salary is between 48000 - 84000 £ per year.
I am supporting an incredibly well backed biotech company specializing in leveraging generative AI and quantum physics algorithms for rapid and innovative drug discovery.
They are currently looking for Senior Computational Chemists to join their team in London
Their mission is to design fast innovative drug candidates for dozens of critical diseases harshening artificial intelligence and machine learning.
This is an Opportunity for a Computational Chemist / to:
- Utilize computational methods to design and generate small molecules targeting specific therapeutic goals, prioritizing drug-target affinity and selectivity.
- Communicate hypotheses and work plans concisely, ensuring discussion and refinement, while prioritizing code robustness and reproducibility. Implement and evaluate generative AI algorithms, property prediction models, and molecular dynamics techniques, providing structured feedback to enhance platform performance.
- Propose innovative strategies to enhance project progression for precision, speed, and scalability. Coordinate with Contract Research Organizations (CROs) to optimize property predictions and synthesis feasibility.
- Collaborate closely with other members of the team, including Machine Learning engineers, software developers, computational chemists, and theoretical physicists.
- Mentor junior team members to foster their development as drug discovery researchers.
Your Background:
- Ph.D in Computational Chemistry, Medicinal Chemistry, Machine Learning or a related field
- A minimum of 3+ Years industry experience working in a Drug Discovery environment.
- Hands-on experience using state-of-the-art methods.
- Extensive knowledge of protein structures, functions, and protein-ligand interactions.
- Proficiency in computational chemistry packages, including RDKIT, GROMACS, MDAnalysis, etc.
- Proficiency in small molecule ligand discovery and cheminformatics techniques.
- Intermediate to advanced proficiency in Python.
Following your application, Jay Robins, a specialist AI recruiter will discuss the opportunity with you in detail.
He will be more than happy to answer any questions relating to the industry and the potential for your career growth.
The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.
This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.
Principal Computational Chemist employer: Barrington James
Contact Detail:
Barrington James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Computational Chemist
✨Tip Number 1
Make sure to highlight your hands-on experience with state-of-the-art computational methods in your discussions. This is crucial for demonstrating your capability to contribute effectively to the team.
✨Tip Number 2
Familiarize yourself with the latest advancements in generative AI and quantum physics algorithms. Being able to discuss these topics intelligently will show your passion and alignment with the company's mission.
✨Tip Number 3
Prepare to discuss your experience in mentoring junior team members. This role involves collaboration and guidance, so showcasing your leadership skills can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the drug discovery field, especially those who work with CROs. Building connections can provide insights and potentially lead to referrals that enhance your application.
We think you need these skills to ace Principal Computational Chemist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Ph.D. in Computational Chemistry or related fields, along with your 3+ years of industry experience in Drug Discovery. Emphasize your hands-on experience with computational chemistry packages and your proficiency in Python.
Craft a Strong Cover Letter: In your cover letter, express your passion for leveraging generative AI and quantum physics in drug discovery. Discuss specific projects where you've utilized computational methods to design small molecules and how you can contribute to the company's mission.
Showcase Collaboration Skills: Highlight any previous experiences where you collaborated with cross-functional teams, such as Machine Learning engineers or theoretical physicists. Mention your mentoring experience with junior team members to demonstrate your leadership capabilities.
Prepare for Technical Questions: Be ready to discuss your knowledge of protein structures, functions, and protein-ligand interactions during the interview. Prepare examples of how you've implemented generative AI algorithms or property prediction models in past projects.
How to prepare for a job interview at Barrington James
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with computational chemistry packages like RDKIT and GROMACS. Highlight specific projects where you utilized these tools to achieve significant results in drug discovery.
✨Communicate Clearly and Concisely
Since the role involves communicating hypotheses and work plans, practice articulating your thoughts clearly. Use examples from your past work to demonstrate how you effectively communicated complex ideas to your team.
✨Demonstrate Collaborative Spirit
This position requires close collaboration with various team members. Be ready to share experiences where you successfully worked with cross-functional teams, including machine learning engineers and theoretical physicists, to drive project success.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to propose innovative strategies for enhancing project progression. Think of specific challenges you've faced in previous roles and how you overcame them using computational methods.
