Senior Applied AI Cheminformatician in Chester

Senior Applied AI Cheminformatician in Chester

Chester Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
Lhasa Limited

At a Glance

  • Tasks: Apply innovative AI techniques to enhance solutions in cheminformatics and drive impactful results.
  • Company: Join Lhasa Limited, a purpose-driven not-for-profit focused on safer chemicals and medicines.
  • Benefits: Enjoy flexible working, competitive compensation, and opportunities for continuous learning and growth.
  • Other info: Collaborative environment with leading experts and a culture that values diversity and curiosity.
  • Why this job: Make a tangible impact on global health while pursuing scientific excellence without profit pressure.
  • Qualifications: Strong programming skills and advanced knowledge in cheminformatics and AI methods required.

The predicted salary is between 36000 - 60000 £ per year.

Summary of the Role

This role will be part of a team which will focus on identifying and applying innovative AI techniques which can enhance our solutions and ways of working at Lhasa. The role holder must be able to understand when insights are sufficient to move forward, ensuring their work is actively supporting business strategy. The ideal candidate will possess a strong scientific background, deep cheminformatics expertise, and the technical ability to apply existing and emerging AI tools to real-world problems – focusing on application over research to ensure rapid delivery and product impact.

The successful candidate will ensure alignment with our company values; ownership, collaboration, integrity, diversity & inclusion, and curiosity & adaptability to deliver productised solutions at pace

Why Lhasa Limited?

Purpose-driven mission: Our work contributes to safer chemicals and medicines and your work will have tangible impact on human health globally.

Scientific freedom: As a not-for-profit, we prioritise scientific excellence over short-term profits. You’ll have the freedom to pursue breakthrough research that might take years to realise but could transform the field.

Collaborative environment: Work alongside some of the world’s leading computational toxicologists, cheminformaticians, and software engineers. Our culture values diverse perspectives and collective problem-solving.

Global influence: Your research will inform regulatory decisions, guide pharmaceutical development, and influence how companies worldwide assess chemical safety.

Continuous learning: Access conferences, collaborations with academic institutions, and opportunities to shape international scientific standards. We invest in your growth because your expertise drives our mission.

Work-life integration: Flexible working arrangements that recognize the importance of sustainable innovation. Great ideas don’t come from burned-out minds.

Competitive recognition: Excellent compensation package that reflects the value of your expertise, plus relocation support if needed.

Main Responsibilities

Technical Application & Innovation

  • Apply machine learning methods, knowledge-based expert systems, large language models, and cheminformatics techniques to drive innovation across Lhasa’s portfolio.
  • Enhance automation processes to accelerate model development and deployment.
  • Ensure robust validation, interpretability, and explainability of models.
  • Contribute to scientific publications and presentations at international conferences and company events.

Collaboration & Communication:

  • Work effectively with cross-functional teams (e.g., software development, science, application science) to ensure alignment and knowledge-sharing.
  • Communicate complex concepts and findings to non-expert audiences effectively.

Continuous Learning & Improvement

  • Stay updated with the latest research and advancements in AI and cheminformatics.
  • Demonstrate evidence of self-learning and growth in new techniques.

Team Development

  • Train and support other scientists in the application of AI best practices, ensuring they are proficient in using advanced computational tools and techniques to solve chemical informatics problems.

About you

Technical Expertise

  • Strong programming and data science skills (e.g. Python, RDKit, scikit-learn, TensorFlow/PyTorch)
  • Advanced knowledge and skills in cheminformatics and developing AI methods (including but not limited to machine learning, chemical representation, QSAR, generative models, graph NNs, transformers, large language models, data quality/curation, interpretability and explainability)
  • Demonstrable ability to integrate self-learned techniques into practical, impactful solutions.
  • Understanding of the relationship between chemical structure and properties such as reactivity and mechanisms of toxicity

Key Attributes & Behaviours

We are looking for someone who:

  • Owns their development and outcomes, acting proactively to find opportunities for impact.
  • Collaborates effectively across diverse technical and scientific teams.
  • Demonstrates agility in adapting to change and evolving technologies.
  • Shows curiosity to explore, learn and apply new tools and methods.
  • Embodies adaptability by balancing scientific rigour with pragmatic delivery.

Leadership & Culture

  • Ability to lead and influence in a cross-disciplinary team and mentor others technically and professionally.
  • Ability to foster a culture of agility, collaboration, and curiosity, aligning with company values
  • Demonstrate growth mindset and resilience – giving and receiving feedback to support individual and business growth

Industry Experience

  • Advanced expertise in cheminformatics including chemical representation, QSAR, data curation, and molecular similarity.
  • Proven track record in applying AI techniques to life sciences, particularly in developing models based on chemical structures and biological mechanisms.
  • Demonstrated ability to accelerate AI adoption through automation, minimizing lengthy research cycles.
  • Comfort working in agile, fast-paced environments where rapid iteration and delivery are essential.

Senior Applied AI Cheminformatician in Chester employer: Lhasa Limited

Lhasa Limited is an exceptional employer that champions a purpose-driven mission, allowing you to contribute to safer chemicals and medicines with a tangible impact on global health. Our collaborative environment fosters scientific freedom and continuous learning, providing opportunities for professional growth alongside leading experts in cheminformatics and AI. With flexible working arrangements and a competitive compensation package, we prioritise work-life integration and the well-being of our employees, making Lhasa a truly rewarding place to advance your career.

Lhasa Limited

Contact Details:

Lhasa Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Applied AI Cheminformatician in Chester

Tip Number 1

Network like a pro! Reach out to professionals in the cheminformatics and AI fields on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI techniques and cheminformatics. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on common questions related to AI applications in cheminformatics. Think about how you can demonstrate your problem-solving skills and adaptability. Practice explaining complex concepts in simple terms – it’s all about effective communication!

Tip Number 4

Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in our mission at Lhasa. Tailor your application to highlight how your values align with ours, and show us how you can contribute to our purpose-driven work.

We think you need these skills to ace Senior Applied AI Cheminformatician in Chester

Machine Learning
Cheminformatics
Python
RDKit
scikit-learn
TensorFlow
PyTorch

Some tips for your application 🫡

Show Your Passion for AI and Cheminformatics:When writing your application, let your enthusiasm for AI and cheminformatics shine through. We want to see how your background aligns with our mission at Lhasa and how you can contribute to safer chemicals and medicines.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Senior Applied AI Cheminformatician role. Highlight your relevant experience and skills, especially in machine learning and cheminformatics, to show us why you're the perfect fit.

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your key achievements and skills are easy to spot. This helps us quickly understand your potential impact on our team.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our collaborative environment.

How to prepare for a job interview at Lhasa Limited

Know Your AI and Cheminformatics Inside Out

Make sure you brush up on the latest AI techniques and cheminformatics methods. Be ready to discuss how you've applied these in real-world scenarios, focusing on practical solutions rather than theoretical concepts.

Showcase Your Collaborative Spirit

Prepare examples that highlight your ability to work with cross-functional teams. Lhasa values collaboration, so be ready to share how you've effectively communicated complex ideas to non-experts and fostered teamwork.

Demonstrate Your Growth Mindset

Be prepared to talk about your continuous learning journey. Share specific instances where you've adapted to new technologies or methods, and how this has positively impacted your work and the team.

Align with Company Values

Familiarise yourself with Lhasa's core values: ownership, collaboration, integrity, diversity & inclusion, and curiosity & adaptability. Think of ways you've embodied these values in your previous roles and be ready to discuss them during the interview.