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For Companies At a Glance
- Tasks: Design and develop innovative ML models to revolutionise drug discovery.
- Company: Join a pioneering team at the forefront of AI in life sciences.
- Benefits: Hybrid working, inclusive culture, and opportunities for growth and leadership.
- Why this job: Make a real-world impact by applying AI to life-changing medicines.
- Qualifications: PhD or equivalent in ML, strong deep learning expertise, and passion for science.
- Other info: Collaborative environment with potential to lead projects and mentor others.
The predicted salary is between 48000 - 72000 £ per year.
We’re looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.
This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.
What you’ll get
- Work at the intersection of AI and life sciences with high‑impact applications.
- Hybrid working (3 days per week in the London office).
- A collaborative, inclusive culture with opportunities for growth and leadership.
What you’ll do
- Design and develop novel ML models and algorithms.
- Apply deep learning and generative modelling to complex scientific problems.
- Collaborate with experts across biology, chemistry, physics, and engineering.
- Analyse, tune, and optimise experimental results.
- Depending on experience: lead projects, mentor others, and shape research strategy.
What you’ll bring
- PhD (or equivalent experience) in ML, computer science, or a related field.
- Proven expertise in deep learning research and model development.
- Strong knowledge of mathematics (linear algebra, calculus, statistics).
- Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
- A passion for applying ML to real-world scientific challenges.
Nice to have
- Experience working with biological or chemical data.
- Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.
- Contributions to publications, research projects, or open-source ML.
Senior (5+ years of experience)
Company:
BioTalent
#J-18808-Ljbffr
Research Scientist (Machine Learning) employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist (Machine Learning)
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and drug discovery. Attend conferences, webinars, or local meetups to connect with potential colleagues and mentors who can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to life sciences. This will give you an edge and demonstrate your passion for applying machine learning to real-world challenges.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with ML frameworks like PyTorch or TensorFlow, and think about how you can contribute to innovative projects at StudySmarter.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your enthusiasm for joining our collaborative and inclusive culture.
We think you need these skills to ace Research Scientist (Machine Learning)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Research Scientist role. Highlight your expertise in ML, deep learning, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for applying ML to real-world challenges and explain why you're excited about joining our team. Be genuine and let your personality come through – we love creativity!
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them! Whether it's research papers, open-source contributions, or personal projects, we want to see how you've applied your skills in practical settings.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on being part of the StudySmarter family!
How to prepare for a job interview at NLP PEOPLE
✨Know Your ML Stuff
Make sure you brush up on your deep learning concepts and algorithms. Be ready to discuss your previous projects and how you've applied ML techniques to solve real-world problems, especially in the life sciences.
✨Show Your Collaborative Spirit
This role is all about teamwork, so be prepared to talk about your experience working with interdisciplinary teams. Highlight any collaborations with experts from biology, chemistry, or engineering, and how those experiences shaped your research.
✨Demonstrate Problem-Solving Skills
Expect to face some technical questions or case studies during the interview. Practice explaining your thought process when tackling complex scientific problems, and be ready to showcase how you analyse and optimise results.
✨Passion for Impact
Let your enthusiasm for applying ML to drug discovery shine through. Share specific examples of how your work can lead to life-changing medicines, and express your desire to contribute to meaningful research that makes a difference.
