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- Tasks: Design and productionise generative models to advance cellular biology.
- Company: Leading AI-powered Drug Discovery startup in the UK.
- Benefits: Remote work, competitive salary, and opportunities for innovation.
- Why this job: Join a team driving impactful solutions in life sciences with cutting-edge AI.
- Qualifications: Ph.D. in relevant field, industry experience, and strong publication record.
- Other info: Collaborative environment focused on tackling complex challenges.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI-powered Drug Discovery startup in the UK is seeking an enthusiastic Machine Learning Scientist to join their team. This remote position involves designing and productionizing generative models to advance cellular biology. The ideal candidate will have a Ph.D., significant industry experience, and a strong publication record in AI. You will collaborate across teams and lead innovation initiatives to tackle complex challenges and drive impactful solutions.
Remote ML Scientist — Generative AI for Life Sciences employer: Synlico Inc.
Contact Detail:
Synlico Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Scientist — Generative AI for Life Sciences
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and life sciences fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your enthusiasm.
✨Tip Number 2
Showcase your work! Create a portfolio or GitHub repository with your projects, especially those related to generative models. This gives potential employers a tangible look at your skills and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who want to make an impact in the field of AI and life sciences. Your next big opportunity could be just a click away!
We think you need these skills to ace Remote ML Scientist — Generative AI for Life Sciences
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and generative models. We want to see how your background aligns with the role, so don’t be shy about showcasing your Ph.D. and any industry projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your skills can contribute to our mission in drug discovery. Let us know what makes you tick and why you’re the perfect fit for our team.
Show Off Your Publications: If you’ve got a strong publication record, make sure to include it! Highlight any papers that are particularly relevant to generative AI or life sciences. This will help us see your expertise and passion for the field.
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 shows us you’re keen to join our innovative team!
How to prepare for a job interview at Synlico Inc.
✨Know Your Generative Models
Make sure you brush up on the latest advancements in generative models, especially those relevant to cellular biology. Be ready to discuss your previous work and how it can apply to the role. This shows your enthusiasm and expertise!
✨Showcase Your Collaboration Skills
Since this role involves working across teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects or initiatives where you led innovation. This will demonstrate your ability to work well with others.
✨Prepare for Technical Questions
Expect some deep technical questions related to machine learning and AI. Review your Ph.D. research and be ready to explain complex concepts in a simple way. This will help interviewers see your depth of knowledge and communication skills.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared about the company's vision and future projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.
