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- Tasks: Join a team to develop AI-driven predictive models for drug discovery.
- Company: A London-based techbio company revolutionizing drug development with AI and machine learning.
- Benefits: Enjoy a competitive salary, hybrid work, career growth, and great perks like private health insurance.
- Why this job: Shape the future of biotech while collaborating with talented professionals in an innovative environment.
- Qualifications: PhD or postdoc in relevant fields with 2+ years of experience in cheminformatics or computational chemistry.
- Other info: Apply early as interviews are rolling; this is your chance to make a real impact!
The predicted salary is between 64000 - 96000 £ per year.
We are seeking a Senior Cheminformatician to join a scaling techbio company that’s using AI to accelerate drug discovery and redefine lab experiments. With significant seed funding, they’re building a top-tier team to develop predictive models for drug development. As a Senior Cheminformatics Scientist, you\’ll play a key role in shaping the company’s technical strategy, working with a talented team, and contributing to groundbreaking work in the biotech space. This role is full time with hybrid working in London.
About the company
This London-based company is leveraging AI to transform drug development by creating predictive models and integrating machine learning with traditional cheminformatics. With a strong funding base and a growing team, they are set to make significant strides in the biotech sector, aiming to revolutionise the way drugs are developed through AI-driven solutions.
The role
As a Senior Cheminformatics Scientist, you will play a pivotal role in driving AI and cheminformatics research to optimise drug discovery. You will develop and refine predictive models for ADMET predictions, work with large and diverse datasets, and apply advanced machine learning techniques, including training large models like Graph Neural Networks (GNNs) and Large Language Models (LLMs). This is an exciting opportunity to shape the company’s technical strategy while working closely with cross-functional teams to deliver cutting-edge solutions.
Essential skills
- PhD or postdoc in computational chemistry, cheminformatics, or a related field.
- 2+ years of experience in cheminformatics or computational chemistry, preferably in a drug discovery setting.
- Strong programming skills in Python (other languages like C, Java are a plus).
- Experience training large machine learning models, including GNNs and LLMs.
- Practical experience in ADMET modelling, molecular dynamics, or structure-based drug design (SBDD).
- Familiarity with managing large datasets and using them to build predictive models for drug discovery.
- Excellent communication and collaboration skills, with experience working in interdisciplinary teams.
Benefits
- £80,000 – £90,000 base salary.
- Hybrid, minimum of 3 days per week in the London office.
- Opportunities for career growth and the chance to shape the company’s technical framework.
- Regular social events and off-sites to foster team collaboration.
- Private health insurance, cycle-to-work scheme, and pension plan (5% employer contribution).
Recruitment process
Applications are now open, and interviews will be conducted on a rolling basis. Submit your CV early to ensure consideration for this exciting opportunity.
About Erin
Erin Blank, Senior Computational Science and Scientific Engineering consultant at Aspire Life Sciences, specialises in connecting exceptional talent in Computational Biology/Chemistry, Bio/Cheminformatics, and machine learning with leading organisations across Europe. With 4 years of experience, she is committed to understanding both client and candidate needs to ensure successful matches. If this role aligns with your skills and ambitions, apply today.
Senior Cheminformatician employer: Aspire Life Sciences Search
Contact Detail:
Aspire Life Sciences Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Cheminformatician
✨Tip Number 1
Make sure to highlight your experience with large datasets and predictive modeling in your conversations. This role emphasizes the importance of these skills, so be ready to discuss specific projects where you've successfully applied them.
✨Tip Number 2
Familiarize yourself with the latest advancements in AI and cheminformatics, especially regarding GNNs and LLMs. Being able to discuss recent trends or breakthroughs can set you apart during interviews.
✨Tip Number 3
Network with professionals in the biotech and cheminformatics fields. Attend relevant conferences or webinars to connect with potential colleagues and learn more about the company’s culture and projects.
✨Tip Number 4
Prepare to demonstrate your programming skills, particularly in Python. Consider working on a small project or contributing to an open-source initiative that showcases your ability to develop machine learning models.
We think you need these skills to ace Senior Cheminformatician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in cheminformatics and computational chemistry. Emphasize your programming skills in Python and any experience with machine learning models, particularly GNNs and LLMs.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for drug discovery and AI. Discuss how your background aligns with the company's mission and how you can contribute to their technical strategy.
Highlight Relevant Projects: Include specific examples of projects where you've developed predictive models or worked with large datasets. This will demonstrate your practical experience and problem-solving skills in a drug discovery context.
Showcase Collaboration Skills: Since the role involves working in interdisciplinary teams, mention any past experiences where you successfully collaborated with others. Highlight your communication skills and ability to work in a team-oriented environment.
How to prepare for a job interview at Aspire Life Sciences Search
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with cheminformatics and computational chemistry in detail. Highlight specific projects where you developed predictive models or worked with large datasets, especially in drug discovery settings.
✨Demonstrate Your Programming Skills
Since strong programming skills in Python are essential, be ready to talk about your coding experience. You might even be asked to solve a coding problem during the interview, so brush up on your Python skills and be familiar with other languages like C or Java.
✨Discuss Machine Learning Techniques
Given the focus on advanced machine learning techniques, prepare to explain your experience with training large models such as Graph Neural Networks (GNNs) and Large Language Models (LLMs). Be ready to discuss the challenges you faced and how you overcame them.
✨Emphasize Collaboration and Communication
This role involves working closely with cross-functional teams, so highlight your collaboration and communication skills. Share examples of how you've successfully worked in interdisciplinary teams and contributed to achieving common goals.
