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- 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.
- Other info: Collaborative environment with potential to lead projects and mentor others.
- 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.
The predicted salary is between 36000 - 60000 £ 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 people in the industry, attend meetups, and connect with researchers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that relate to drug discovery or life sciences. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to the role. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
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 interesting ML projects, don't hold back! Include links to your GitHub or any publications that demonstrate your skills. We’re keen to see your hands-on experience and how you tackle complex problems.
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. Plus, it shows you’re serious about joining StudySmarter!
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 frameworks like PyTorch or TensorFlow. They’ll want to see your expertise in action!
✨Show Your Passion for Science
This role is all about applying machine learning to real-world scientific challenges. Be prepared to share examples of how your work has impacted the field, especially if you have experience with biological or chemical data. Let your enthusiasm shine through!
✨Collaborate Like a Pro
Since this position involves working with experts from various fields, highlight your teamwork skills. Think of specific instances where you’ve collaborated successfully and how you’ve contributed to a team’s success. They’ll be looking for someone who can fit into their inclusive culture.
✨Prepare for Technical Questions
Expect some technical questions that test your knowledge of mathematics and ML concepts. Brush up on linear algebra, calculus, and statistics, and be ready to solve problems on the spot. Practising with mock interviews can really help you feel more confident!