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- Tasks: Design ML models for drug discovery and collaborate with diverse teams.
- Company: Innovative firm transforming healthcare through AI and machine learning.
- Benefits: Competitive salary, excellent training, career development, and hybrid working options.
- Why this job: Make a real impact in healthcare by revolutionising drug discovery with AI.
- Qualifications: Experience in machine learning and a passion for healthcare innovation.
- Other info: Supportive, inclusive environment located near Cambridge City Centre.
The predicted salary is between 30000 - 50000 £ per year.
An innovative firm is seeking Machine Learning Scientists/Engineers to revolutionise drug discovery through advanced machine learning techniques. This role involves designing ML models for structure-based drug design and collaborating with multidisciplinary teams to translate research into impactful solutions.
The company offers excellent training, career development, and competitive salary, along with hybrid working options. Located near Cambridge City Centre, it provides a supportive and inclusive environment that embraces diversity. If you’re passionate about leveraging AI in healthcare, this opportunity is perfect for you.
Hybrid ML Scientist/Engineer: Structure-Based Drug Discovery in Cambridge employer: Computational Chemistry List, Ltd. (CCL)
Contact Detail:
Computational Chemistry List, Ltd. (CCL) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid ML Scientist/Engineer: Structure-Based Drug Discovery in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and drug discovery. Attend industry events or webinars, and don’t be shy to slide into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to structure-based drug design. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML algorithms and coding skills. Practice common interview questions and consider mock interviews with friends or mentors. We all know that confidence is key!
✨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 passionate candidates who are eager to join our mission in revolutionising healthcare with AI.
We think you need these skills to ace Hybrid ML Scientist/Engineer: Structure-Based Drug Discovery in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and drug discovery. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI in healthcare and how you can contribute to our innovative team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Collaboration Skills: Since this role involves working with multidisciplinary teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork and want to know how you can fit into our supportive environment.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Computational Chemistry List, Ltd. (CCL)
✨Know Your ML Models
Make sure you brush up on the latest machine learning models relevant to structure-based drug discovery. Be ready to discuss how you've applied these techniques in past projects, and think about how they can be adapted for the role you're applying for.
✨Showcase Collaboration Skills
Since this role involves working with multidisciplinary teams, prepare examples of how you've successfully collaborated with others in your previous roles. Highlight any experiences where you translated complex research into practical solutions, as this will resonate well with the interviewers.
✨Emphasise Your Passion for AI in Healthcare
This company is looking for someone who is genuinely passionate about leveraging AI in healthcare. Be prepared to share why this field excites you and how you envision contributing to innovative drug discovery through your work.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to drug discovery and their use of machine learning. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values, especially regarding diversity and inclusion.
