At a Glance
- Tasks: Own features from design to deployment in drug discovery software.
- Company: Leading life sciences company in Scotland with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with scientists in a dynamic and innovative environment.
- Why this job: Make a real impact in drug discovery using AI and automation.
- Qualifications: Deep Python knowledge and experience in life sciences tools.
The predicted salary is between 48000 - 72000 £ per year.
A leading life sciences company in Scotland is seeking a Senior CADD Software Developer. This role involves ownership of features from design to deployment, utilizing expertise in computational chemistry and software engineering. You will work on modern platforms that leverage AI and automation in drug discovery, collaborating with scientists and researchers.
The ideal candidate has deep Python knowledge and experience with tools relevant to the life sciences. A hybrid work model is available.
Senior CADD Software Engineer — Drug Discovery Platform employer: SLS Services Limited
As a leading life sciences company in Scotland, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in drug discovery. With a strong focus on professional development, we offer numerous growth opportunities and a hybrid work model that promotes work-life balance. Join us to be part of a forward-thinking team that leverages cutting-edge technology and AI to revolutionise the future of healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Senior CADD Software Engineer — Drug Discovery Platform
✨Tip Number 1
Network like a pro! Reach out to professionals in the life sciences and software engineering fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computational chemistry and AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python knowledge and understanding the latest trends in drug discovery. We recommend practising common technical questions and scenarios you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior CADD Software Engineer — Drug Discovery Platform
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your deep Python knowledge and any relevant tools you've used in the life sciences. We want to see how your expertise can contribute to our drug discovery platform!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior CADD Software Engineer role. We love seeing how you align with our mission and values.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your experience and skills are easy to spot. Remember, less is often more!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at SLS Services Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any specific libraries or frameworks you've used in computational chemistry. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand the Drug Discovery Process
Familiarise yourself with the drug discovery process and how CADD fits into it. Being able to speak knowledgeably about how your software engineering skills can contribute to advancements in life sciences will impress the interviewers. Consider preparing examples of how you've applied your skills in similar contexts.
✨Showcase Your Collaboration Skills
Since this role involves working closely with scientists and researchers, be prepared to discuss your experience in collaborative environments. Share specific examples of how you've successfully worked in teams, especially in cross-disciplinary settings, to highlight your ability to communicate complex ideas effectively.
✨Prepare Questions About AI and Automation
As the role involves leveraging AI and automation, come prepared with insightful questions about how the company is integrating these technologies into their drug discovery platform. This shows your genuine interest in the position and helps you gauge if the company's vision aligns with your career goals.
