Job Description

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 possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK\xe2\x80\x99s 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, early-career machine learning scientist who wishes to turn their talents to the healthcare sector, with a focus on immuno-oncology. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher 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 GSK\xe2\x80\x99s state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research.

As a Machine Learning Engineer focusing on precision medicine and immuno-oncology you will:

• 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

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• A minimum of a master\xe2\x80\x99s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field
• Extensive experience in Python programming and knowledge in machine learning and statistics
• Demonstrated proficiency working with biological/healthcare data 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
• 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
• Familiary with collaborative working through Git

Why GSK?

Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:

• Operating at pace and agile decision-making \xe2\x80\x93 using evidence and applying judgement to balance pace, rigor, and risk.
• Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
• Continuously looking for opportunities to learn, build skills and share learning.
• Sustaining energy and well-being
• Building strong relationships and collaboration, honest and open conversations.
• Budgeting and cost-consciousness

#LI-Hybid

Why Us?

GSK is a global biopharma company with a special purpose \xe2\x80\x93 to unite science, technology and talent to get ahead of disease together \xe2\x80\x93 so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns \xe2\x80\x93 as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it\xe2\x80\x99s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We\xe2\x80\x99re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or 0808 234 4391. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels

As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.

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GlaxoSmithKline