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- Tasks: Lead drug discovery projects using your cheminformatics expertise in a hybrid work environment.
- Company: Join a pioneering biotechnology company based in Oxford.
- Benefits: Enjoy a competitive salary, private health insurance, and continuous learning opportunities.
- Other info: Dynamic team atmosphere with opportunities for professional growth.
- Why this job: Make a real impact in drug discovery while collaborating with talented scientists.
- Qualifications: Ph.D. in cheminformatics/computational chemistry and experience in small molecule drug discovery.
The predicted salary is between 40000 - 50000 £ per year.
A biotechnology company in Oxford is seeking a Computational Chemist to apply cheminformatics expertise in drug discovery. You will work in a hybrid environment, leading scientific excellence in computational chemistry, contributing to ongoing projects, and collaborating with team members.
The ideal candidate will have:
- A Ph.D. in cheminformatics/computational chemistry
- Proficiency in scientific scripting
- Industry experience in small molecule drug discovery
OMass offers a competitive salary and excellent benefits, including private health insurance and learning opportunities.
Computational Chemist – Drug Discovery (Oxford, Hybrid) employer: OMass Therapeutics
Contact Detail:
OMass Therapeutics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Chemist – Drug Discovery (Oxford, Hybrid)
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and computational chemistry fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and industry knowledge. We recommend doing mock interviews with friends or using online platforms to practice common questions related to drug discovery and cheminformatics.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant research or projects, make sure to have them ready to discuss. We love seeing how candidates apply their skills in real-world scenarios, especially in small molecule drug discovery.
✨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, it shows you’re genuinely interested in joining our team at OMass.
We think you need these skills to ace Computational Chemist – Drug Discovery (Oxford, Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your cheminformatics expertise and any relevant industry experience. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in small molecule drug discovery!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about computational chemistry and how you can contribute to our projects. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Scripting Skills: Since proficiency in scientific scripting is key for this role, make sure to mention any relevant programming languages or tools you’re familiar with. We’re keen to know how you’ve applied these skills in past projects!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at OMass Therapeutics
✨Know Your Cheminformatics Inside Out
Make sure you brush up on your cheminformatics knowledge before the interview. Be prepared to discuss specific techniques and tools you've used in drug discovery, as well as any relevant projects. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Scripting Skills
Since proficiency in scientific scripting is key for this role, be ready to talk about your experience with programming languages like Python or R. Consider bringing examples of scripts you've written or problems you've solved using these skills to demonstrate your capabilities.
✨Highlight Collaborative Experiences
Collaboration is crucial in a hybrid environment. Think of examples where you've worked effectively in a team, especially in a scientific context. Be ready to discuss how you contributed to group projects and how you handle differing opinions or challenges within a team.
✨Prepare Questions About the Company and Role
Interviews are a two-way street, so come prepared with insightful questions about the company and the specific role. Ask about ongoing projects, the team dynamics, or how they measure success in drug discovery. This shows your genuine interest and helps you assess if it's the right fit for you.