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For Companies At a Glance
- Tasks: Develop innovative software for drug design, collaborating with scientists and engineers.
- Company: Leading tech firm revolutionising drug discovery through AI and automation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in science by creating tools that change how molecules are discovered.
- Qualifications: Strong background in computational chemistry and expertise in Python and C++.
- Other info: Dynamic team environment with mentorship opportunities and cutting-edge technology.
The predicted salary is between 60000 - 80000 £ per year.
Overview
Computer‑Aided Drug Design (CADD) Software Developer – Onsite or Hybrid – Scotland
If you’re excited by solving hard scientific problems with elegant software, this is an opportunity to work on technology that genuinely changes how molecules are discovered. We’re working closely with a client who creates tools that bring together computational chemistry, AI, and automation - and putting them directly into the hands of scientists.
We’re looking for a Senior CADD Software Developer to help shape a next‑generation platform used by scientists to design, analyse, and optimise novel molecules - and then make them real. You’ll work closely with computational chemists, medicinal chemists, software engineers, and AI researchers, translating complex scientific ideas into powerful, scalable, and intuitive tools.
Responsibilities
- Take ownership of features end‑to‑end - from algorithm design through to production deployment.
- Build and maintain CADD capabilities such as molecular modelling, virtual screening, molecular dynamics, and predictive QSAR/ML workflows.
- Contribute to API‑first backend services and performance‑critical code using C++, CUDA, and GPU acceleration.
- Collaborate on optimising workflows for cloud and HPC environments.
- Champion best practices in scientific software development and mentor others across the team.
Qualifications
- Strong background in computational chemistry or scientific software engineering, with deep Python expertise.
- Experience building production‑grade tools in a drug discovery or life sciences setting.
- Comfortable working with cheminformatics toolkits (such as RDKit), developing high‑performance code in C/C++, and designing scalable backend services.
- Experience with cloud platforms, containerisation, and CI/CD.
- A genuine interest in building user‑focused scientific software.
About the Role
If you enjoy solving hard problems at the intersection of chemistry, computation, and AI - and want your work to directly impact how new molecules are discovered - we’d love to hear from you.
JavaScript is disabled in London employer: SLS Services Limited
Contact Detail:
SLS Services Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land JavaScript is disabled in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the CADD and computational chemistry fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python and C++ skills. Practice coding challenges that focus on algorithms and data structures, as these are often key topics in software development interviews.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant tools or applications, make sure to have them ready to discuss. A portfolio can really set you apart and demonstrate your hands-on experience in building user-focused scientific software.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace JavaScript is disabled in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your background in computational chemistry and any relevant software development projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for drug design and how your expertise in Python and C++ can help us create innovative tools. Let us know why you're excited about this opportunity and how you can make an impact.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or academic setting, be sure to mention them. We love seeing real-world applications of your skills, especially if they involve molecular modelling or AI in drug discovery.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at SLS Services Limited
✨Know Your Chemistry
Brush up on your computational chemistry knowledge. Be ready to discuss how you've applied your expertise in Python and C++ to solve real-world problems in drug discovery. This will show your passion for the field and your ability to contribute meaningfully.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built production-grade tools. Highlight your experience with cheminformatics toolkits and any cloud platforms you've worked with. Concrete examples will help demonstrate your skills and experience.
✨Understand Their Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like CUDA and GPU acceleration. If you can discuss how these technologies can enhance molecular modelling or virtual screening, you'll impress the interviewers with your technical insight.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects and challenges. This shows your genuine interest in the role and helps you understand how you can fit into their team. Plus, it gives you a chance to showcase your problem-solving mindset.