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- Tasks: Lead AI/ML research on proteomics and design models for peptide identification.
- Company: Engitix Therapeutics, a pioneering firm in London focused on therapeutic innovations.
- Benefits: Autonomy in research, collaboration opportunities, and impactful contributions to health.
- Other info: Join a dynamic team dedicated to groundbreaking research and innovation.
- Why this job: Shape the future of therapeutics in fibrosis and cancer with cutting-edge AI/ML.
- Qualifications: PhD in relevant fields and experience with top-tier conference publications.
The predicted salary is between 60000 - 80000 £ per year.
Engitix Therapeutics, based in London, is looking for an ML researcher to lead the AI/ML research program focused on proteomics analysis. The role involves designing models to enhance peptide identification using complex data, with opportunities for interdisciplinary collaboration.
Candidates should have a PhD in relevant fields and experience in top-tier conference publications. This position promises significant autonomy in shaping research direction and impactful contributions towards therapeutic innovations in fibrosis and cancer.
ML Research Scientist, Proteomics & Therapeutics employer: Engitix Therapeutics
Contact Detail:
Engitix Therapeutics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Research Scientist, Proteomics & Therapeutics
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of ML and proteomics on platforms like LinkedIn. Engaging with them can lead to valuable insights and even potential referrals.
✨Tip Number 2
Showcase your work! Create a portfolio or GitHub repository that highlights your projects, especially those related to peptide identification and AI/ML models. This gives you a chance to demonstrate your skills beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your past research and how it aligns with the role at Engitix Therapeutics. Practice makes perfect!
✨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 candidates who take the initiative to engage directly with us.
We think you need these skills to ace ML Research Scientist, Proteomics & Therapeutics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in ML and proteomics. We want to see how your skills align with the role, so don’t be shy about showcasing your top-tier conference publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI/ML research and how you envision contributing to our mission at Engitix Therapeutics. Keep it engaging and personal.
Showcase Your Research Impact: When detailing your past projects, focus on the impact of your work. We love to see how your research has led to real-world applications, especially in therapeutic innovations related to fibrosis and cancer.
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 Engitix Therapeutics
✨Know Your Stuff
Make sure you brush up on your knowledge of proteomics and machine learning techniques. Be ready to discuss your previous research, especially any publications in top-tier conferences. This shows you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in your research and how you tackled them. Engitix Therapeutics is looking for someone who can think critically and creatively, so share examples that highlight your analytical skills and innovative thinking.
✨Emphasise Collaboration
Since the role involves interdisciplinary collaboration, be ready to discuss your experience working with other teams or fields. Highlight any successful projects where you collaborated with others, as this will demonstrate your ability to work well in a team-oriented environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s research direction and how they envision the ML research program evolving. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals.