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- Tasks: Apply advanced machine learning to revolutionise drug discovery and molecular design.
- Company: Mission-driven tech company focused on impactful healthcare solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real-world impact while working on cutting-edge technology in healthcare.
- Qualifications: Strong experience in machine learning and proficiency in PyTorch required.
- Other info: Collaborative environment with a focus on innovation and real-world applications.
The predicted salary is between 36000 - 60000 £ per year.
A mission-driven technology company is seeking an Applied Machine Learning Engineer / Scientist to apply advanced machine-learning models to problems in drug discovery. The role involves collaborating with partners to develop concrete modelling strategies, running experiments, and improving foundational models based on real-world usage.
The ideal candidate will have strong hands-on experience with machine learning, proficiency in PyTorch, and a publication record in the field. This role offers competitive compensation and the opportunity to make a real-world impact.
Applied ML Scientist - Drug Discovery & Molecular Design employer: S3 Science Recruitment
Contact Detail:
S3 Science Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied ML Scientist - Drug Discovery & Molecular Design
✨Tip Number 1
Network like a pro! Reach out to professionals in the drug discovery and machine learning fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to drug discovery. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your past projects and how they relate to the role you're applying for.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in our mission and want to make a real-world impact in drug discovery.
We think you need these skills to ace Applied ML Scientist - Drug Discovery & Molecular Design
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with machine learning and proficiency in PyTorch. We want to see how your skills can contribute to our mission in drug discovery!
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Applied ML Scientist role. We love seeing how you connect your experience to what we do.
Share Your Achievements: If you've got a publication record, flaunt it! We’re keen on candidates who have made contributions to the field, so let us know about your research and any impactful projects you've worked on.
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 from our team!
How to prepare for a job interview at S3 Science Recruitment
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those relevant to drug discovery. Be ready to discuss your hands-on experience with models and frameworks like PyTorch, as well as any publications you've contributed to in the field.
✨Showcase Collaboration Skills
This role involves working closely with partners, so be prepared to share examples of how you've successfully collaborated on projects. Highlight your ability to communicate complex ideas clearly and work as part of a team.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world problems during the interview. Think about how you would approach modelling strategies or experiments in drug discovery. Practise articulating your thought process and decision-making.
✨Demonstrate Your Impact
Since this role is all about making a real-world impact, come equipped with stories that showcase how your work has led to tangible results. Whether it's improving a model or contributing to a successful project, make sure to highlight your achievements.
