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Rolls-Royce
Research Scientist (Machine Learning)
Job summary
A leading biotechnology company in London seeks a Research Scientist (Machine Learning) to develop innovative ML models that have real-world impacts in drug discovery. Join a collaborative and inclusive team, with opportunities to work hybrid and shape research strategy. Candidates should have a PhD, proven ML expertise, and a passion for scientific challenges.
Benefits
Qualifications
- PhD or equivalent in ML, computer science, or related field.
- Expertise in deep learning research and model development.
- Strong knowledge of mathematics including linear algebra, calculus, and statistics.
Responsibilities
- Design and develop novel ML models and algorithms.
- Apply deep learning to scientific problems.
- Collaborate with experts across various fields.
- Analyse and optimise experimental results.
- Lead projects and mentor team members based on experience.
Skills
Education
Tools
We’re looking for aResearch 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.
This role will off you
- 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.
- 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.
- 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.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.