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- Tasks: Join us as a Deep Learning Engineer to optimize drug discovery using AI and machine learning.
- Company: We're a London-based techbio company revolutionizing drug development with AI-driven solutions.
- Benefits: Enjoy a competitive salary, hybrid work, career growth opportunities, and great perks like private health insurance.
- Why this job: Be part of groundbreaking biotech work, shaping technical strategies in a collaborative and innovative environment.
- Qualifications: PhD or postdoc in computational chemistry; 2+ years in cheminformatics; strong Python skills required.
- Other info: Apply early for this exciting opportunity; interviews are rolling!
The predicted salary is between 64000 - 96000 £ per year.
We are seeking a Deep Learning Engineer 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 Deep Learning Engineer, 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 Deep Learning Engineer, 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.
Deep Learning Engineer - Chemistry employer: Aspire Life Sciences Search
Contact Detail:
Aspire Life Sciences Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deep Learning Engineer - Chemistry
✨Tip Number 1
Make sure to showcase your experience with large datasets and predictive modeling in your conversations. Highlight specific projects where you've successfully applied machine learning techniques, especially in drug discovery.
✨Tip Number 2
Familiarize yourself with the latest advancements in cheminformatics and AI-driven drug development. Being able to discuss recent trends or breakthroughs can demonstrate your passion and knowledge during interviews.
✨Tip Number 3
Network with professionals in the biotech and AI fields. Attend relevant meetups or conferences to connect with potential colleagues and learn more about the company culture and expectations.
✨Tip Number 4
Prepare to discuss your programming skills in Python and any experience you have with other languages like C or Java. Be ready to provide examples of how you've used these skills in practical applications.
We think you need these skills to ace Deep Learning Engineer - Chemistry
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 large machine learning models, particularly GNNs and LLMs.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI in drug discovery. Mention specific projects or experiences that demonstrate your ability to develop predictive models and work with large datasets.
Highlight Interdisciplinary Collaboration: In your application, emphasize your communication and collaboration skills. Provide examples of how you've successfully worked in interdisciplinary teams, as this is crucial for the role.
Submit Early: Since interviews are conducted on a rolling basis, submit your application as soon as possible. This increases your chances of being considered for this exciting opportunity.
How to prepare for a job interview at Aspire Life Sciences Search
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with deep learning models, particularly Graph Neural Networks and Large Language Models. Highlight specific projects where you've applied these techniques in cheminformatics or drug discovery.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, especially those related to ADMET predictions or molecular dynamics.
✨Highlight Collaboration Experience
Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated with others in interdisciplinary settings. Emphasize your communication skills and ability to work in a team.
✨Prepare Questions About the Company’s Vision
Research the company’s goals in transforming drug development through AI. Prepare insightful questions that show your interest in their mission and how you can contribute to shaping their technical strategy.
