Overview
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.
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.
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.
Company:
BioTalent
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
About BioTalent
BioTalent Canada was created in 1997 with the mission to help equip Canada with the best, most skilled talent it requires to become one of
