At a Glance
- Tasks: Apply innovative AI techniques to enhance solutions in cheminformatics and drive impactful research.
- Company: Join Lhasa Limited, a purpose-driven not-for-profit focused on safer chemicals and medicines.
- Benefits: Enjoy 34 days holiday, private medical insurance, gym discounts, and a generous pension plan.
- Other info: Flexible hybrid working, continuous learning opportunities, and excellent career growth await you.
- Why this job: Make a real difference in global health while working with leading experts in a collaborative environment.
- Qualifications: Strong programming skills and deep expertise in cheminformatics and AI methods required.
The predicted salary is between 59000 - 82600 £ per year.
Competitive depending on experience, plus generous benefits package, including:
34 days holiday per year (plus bank holidays) • Health care cash back • Private medical insurance • Discounted gym and retail benefits • 3 x life insurance • annual pay reviews • annual bonuses • free onsite car parking • Employee advice line • Generous pension plan
Location
Lhasa Limited, Granary Wharf House, 2 Canal Wharf, Leeds LS11 5PS. We support hybrid working with a typical week involving 2 days working from the office.
Join our team and contribute to cutting-edge research in a collaborative and innovative environment.
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.
- 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.
- 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.
Equal opportunities statement
Lhasa Limited aims to ensure that no job applicant, colleague, or worker receives less favourable treatment on the grounds of race, colour, caste, national or ethnic origins, sex, pregnancy or pregnancy related reasons, marital or civil partnership status, sexual orientation, disability, membership or non-membership of trade union, “spent convictions” of ex-offenders, class, age, political or religious belief.
Lhasa will make reasonable adjustments for all candidates who have declared that they have a disability at all stages in the recruitment process. Lhasa will also make reasonable adjustments, where practicable, to the workplace and methods of working to accommodate disabled applicants who require such adjustments to be made to their roles.
Senior Applied AI Cheminformatician in Leeds employer: Lhasa Limited
Lhasa Limited is an exceptional employer located in the vibrant city of Leeds, offering a collaborative and innovative work culture that prioritises scientific development for the public good. With a generous benefits package including 34 days of holiday, private medical insurance, and a strong commitment to employee growth through mentorship and strategic leadership opportunities, Lhasa empowers its team to make meaningful contributions to chemical safety and reduce animal testing. Join us in a role that not only advances your career but also supports life-enhancing solutions globally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied AI Cheminformatician in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your technical skills. Make sure you can explain complex AI concepts in simple terms – it’s all about making your expertise accessible to everyone!
✨Tip Number 3
Don’t just apply for jobs; engage with the company! Follow them on social media, comment on their posts, and show genuine interest in their work. This can help you stand out when they see your enthusiasm.
✨Tip Number 4
Use our website to apply directly! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest opportunities that match your skills and interests right there.
We think you need these skills to ace Senior Applied AI Cheminformatician in Leeds
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Applied AI Cheminformatician role. Highlight your relevant experience in cheminformatics and AI techniques, and show how they align with our mission at Lhasa.
Showcase Your Technical Skills:We want to see your programming prowess! Include specific examples of your work with Python, RDKit, or any machine learning frameworks you've used. This is your chance to shine and demonstrate your technical expertise.
Communicate Clearly:Remember, we value collaboration and communication. When describing your past projects, make sure to explain complex concepts in a way that’s easy to understand. This will show us you can effectively share your insights with diverse teams.
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 this exciting opportunity at Lhasa.
How to prepare for a job interview at Lhasa Limited
✨Know Your Stuff
Make sure you brush up on your cheminformatics knowledge and AI techniques. Be ready to discuss specific projects where you've applied machine learning or cheminformatics methods. This shows you can translate theory into practice, which is key for this role.
✨Show Your Collaborative Spirit
Lhasa values collaboration, so be prepared to share examples of how you've worked effectively in cross-functional teams. Highlight your ability to communicate complex ideas to non-experts, as this will demonstrate your fit within their collaborative environment.
✨Emphasise Continuous Learning
Talk about how you stay updated with the latest advancements in AI and cheminformatics. Mention any recent courses, conferences, or self-learning initiatives you've undertaken. This aligns with Lhasa's commitment to continuous learning and innovation.
✨Align with Company Values
Familiarise yourself with Lhasa's core values: ownership, collaboration, integrity, diversity & inclusion, and curiosity & adaptability. Prepare to discuss how you embody these values in your work and how they resonate with your personal approach to problem-solving.
