AIML Engineer

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.

The opportunities for machine learning extend to many other areas of our business including medicine safety manufacturing and supply chain. To realize these opportunities GSK has created a global Artificial Intelligence and Machine learning group (AI/ML) with locations in London San Francisco Boston Philadelphia Tel Aviv and Heidelberg to focus on the development and application of machine learning to problems of critical importance at GSK. We are now embarking on an AI/ML team in China to bring cutting-edge solutions to real-world challenges in the healthcare domain. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale scientific experiments that exploit GSKs unique access to data.

By actively engaging with the machine learning community and publishing our research code and models built on public data the AI/ML group operates at the cutting-edge of machine learning research. To help us we seek a passionate AI/ML Engineer who wishes to turn their talents to the healthcare sector. You will be working with other engineers on building products to support multiple large-scale projects within AI/ addition the engineer will learn about the pharmaceutical industry and software engineering and translate their research into tools that aid discovery and development of transformational medicines.

You will have access to outstanding experts in biology chemistry (software) engineering data science and machine learning; unrivalled data sources and GSKs state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research. You will be based in the newly formed AI/ML team based in Shanghai.

As an AI/ML Engineer you will be focusing on:

• Design and implement novel scientific approaches to uncover and explain key relationships within a multitude of biological data types.
• Leverage data and insights to produce robust explainable and accurate predictions across a variety of key biological and clinical tasks.
• Connect and collaborate with subject matter experts in biology genomics and medicine.
• Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build test and validate predictive models.
• Develop and embed automated processes for predictive model validation deployment and implementation.
• Deploy your algorithms to production to identify actionable insights from large databases.
• Lead collaborations with external and internal stakeholders

Why you
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:

• A minimum of a masters degree in computer science applied math statistics physics systems biology computational biology bioinformatics or related field
• Proven experience in machine learning engineering
• Extensive experience in Python programming and knowledge in machine learning and statistics
• Demonstrated proficiency working withclinical trialdata in an academic or professional setting
• Familiarity with at least one Deep Learning framework such as TensorFlow Keras or PyTorch
• Proven ability to solve complex problems using creative approaches state-of-the-art tools and best engineering practices
• Ability to work both autonomously and collaboratively on complex projects

Preferred Qualifications:
If you have the following characteristics it would be a plus:

• A PhD in computer science applied math statistics physics systems biology computational biology bioinformatics or related field
• Academic or industry experience in the biomedical sciences especially in respiratory diseases
• Prior experience working in clinical trials
• Experience with real world evidence
• Expertise developing machine learning models within the PyTorch framework
• Experience with theory & applications in software engineering; training and operating algorithms at scale; production deployment of ML services
• Ability to digest synthesize and implement innovative methods from scientific literature

#GSK-LI

Why GSK

Uniting science technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose to unite science technology and talent to get ahead of disease together so we can positively impact the health of billions of people and deliver stronger more sustainable shareholder returns as an organisation where people can thrive. We prevent and treat disease with vaccines specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies investing in four core therapeutic areas (infectious diseases HIV respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders its also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired encouraged and challenged to be the best they can be. A place where they can be themselves feeling welcome valued and included. Where they can keep growing and look after their wellbeing. So if you share our ambition join us at this exciting moment in our journey to get Ahead Together.

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