Senior AI/ML Research Engineer

Key Skills

Java Programming, Python Programming, SQL, Aartificial intelligence, Machine learning techniques, Data science techniques, Deep Learning, Data Modeling, Mathematics

Job Description

At GlaxoSmithKline we have created a world-leading data and computational environment to enable large scale scientific experiments that exploit GSK’s unique access to data. Our focus is on bringing data, analytics & science together into solutions for our scientists to develop medicines for patients.

We are seeking to grow our team with brilliant and diverse contributors with technical ability. We are looking for machine learning experts that help discover new medicines by focusing on causal relationships in data. This is an exciting role that will stretch your knowledge and curiosity, offering the opportunity to learn new skills and work within a global community.

This is a hands-on position where you will be empowered to be creative, ambitious and bold, to solve novel R&D problems and have the potential to directly impact the lives of patients living with disease. We have impressive toolkits and world class data, and we are now looking for talented people to join us.

As a Machine Learning Engineer focusing in Causal Machine Learning we’d like you to be able to:

• Design and implement novel scientific approaches to leveraging high-dimensional biological data sets to build predictive models for precision oncology
• Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models
• Connect and collaborate with subject matter experts in biology, genomics and medicine
• Deploy your algorithms to production to identify actionable insights from large databases

Required:

• A higher degree in computer science, data science, applied math, physics, systems biology, bioinformatics or other related fields
• Past experience in building deep learning models, preferably with exposure to functional genomics, molecular and cellular biology or to modeling dynamical systems
• Understanding of best practices in software engineering, training and operating algorithms at scale, and production deployment of ML services
• Excellent written and verbal communication skills (both English and Hebrew)
• Ability to solve complex problems using creative ideas, state-of-the-art tools and best engineering practice
• Ability to work autonomously and collaboratively as part of a team to both teach and learn every day