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- Tasks: Design and solve exciting computational chemistry problems for top tech companies.
- Company: Join Mindrift, a leader in innovative tech solutions.
- Benefits: Earn up to $35 per hour with flexible hours and project-based work.
- Other info: Flexible role requiring 10-20 hours per week during active phases.
- Why this job: Make a real impact while working on cutting-edge challenges in chemistry and AI.
- Qualifications: Degree in Chemistry or related field, Python proficiency, and 2+ years experience.
The predicted salary is between 28000 - 35000 £ per year.
Mindrift is seeking specialists to design and solve computational chemistry problems for leading tech companies. This project-based role requires a degree in Chemistry or related fields, proficiency in Python, and 2+ years of professional experience.
Responsibilities include:
- Problem design based on real challenges
- Documentation
- Numerical validation
Contributors can earn up to $35 per hour depending on their contribution. The role is flexible, requiring 10-20 hours per week during active phases.
Computational Chemistry & Python AI Problem Designer employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Chemistry & Python AI Problem Designer
✨Tip Number 1
Network like a pro! Reach out to your connections in the computational chemistry and tech fields. We all know that sometimes it’s not just what you know, but who you know that can land you that dream gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any problem-solving you've done in computational chemistry. We want to see your creativity and how you tackle real-world challenges.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to computational chemistry and Python. We suggest practising your problem-solving approach so you can impress them with your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Computational Chemistry & Python AI Problem Designer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your degree in Chemistry and any relevant experience you have. We want to see how your background aligns with the role, so don’t hold back on showcasing your Python proficiency and any projects you've worked on!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your experience relates to designing computational chemistry problems and solving real challenges. This will help us see why you're the perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your documentation skills shine through. Use bullet points if needed to make your achievements stand out!
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 to do!
How to prepare for a job interview at Mindrift
✨Know Your Chemistry
Make sure you brush up on your chemistry knowledge, especially the areas relevant to computational problems. Be prepared to discuss specific challenges you've faced in the past and how you tackled them.
✨Show Off Your Python Skills
Since proficiency in Python is a must, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that relate to computational chemistry.
✨Prepare Real-World Examples
Think of examples from your previous work where you designed or solved complex problems. Highlight your approach to documentation and numerical validation, as these are key responsibilities for the role.
✨Flexibility is Key
Since the role requires flexibility, be ready to discuss how you manage your time effectively. Share your strategies for balancing multiple projects while ensuring high-quality contributions.