At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. If that excites you, we'd love to chat. 

We're looking for an AI/ML Engineer to help us make this vision a reality.  Competitive candidates are outstanding engineers with a track record in developing SOTA deep learning models for solving challenging real world scientific problems and writing robust code. In particular, the team is working on developing cutting-edge solutions for Computational Pathology, hence previous experience with AI/ML for medical imaging will be an added value.

The team you will be working with has a diverse background, ranging from highly experienced machine learning engineers, professional software engineers to board certified medical doctors. The team is primarily based in the GSK’s Stanley Building office next to Kings Cross train station at central London.

In this role you will

• Convert biological/drug discovery challenges into well-defined machine learning problem, particularly in the Computational Pathology domain. 
• Execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmarking, and product driven research for model performance improvement, to shipping stable, tested, performant code and services in an agile environment 
• Ensure best machine learning practice  
• Work as part of a highly interdisciplinary team 

Why you?

Qualifications & Skills:

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

• A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional AI/ML engineer.
• Experienced in developing deep learning models for solving real world scientific problems
• An outstanding scientist, machine learning engineer, and software engineer. Demonstrate expertise and depth in at least one area and breadth across your expertise.  

• Expertise and depth in deep learning for computer vision, including but not limited to image segmentation, object detection, weakly supervised learning, and self-supervised learning 
• Proficiency with standard deep learning algorithms and model architectures 
• Familiarity with current deep learning literature and math of machine learning 
• In depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation 

• Experienced/accomplished in software engineering with advanced skills in Python
• Advanced level in PyTorch, Tensorflow, or other deep learning frameworks 
• Experience with devop stacks: version control, CI/CD, containerization, etc.  

Preferred Qualifications & Skills:

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

• A PhD in modern deep learning

• Peer reviewed publications in major AI conferences 
• Track record of contributing to open source projects 
• Mentality of commit early and often, metrics before models, and shipping high quality production code 

• Knowledge in disease biology, molecular biology and biochemistry 
• Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.), clinical data (e.g., electronic health records, clinical images, histopathology images) 

• Experience in working with large-size images at scale, e.g. histopathology images and their format.

Closing Date for Applications: Wednesday 2nd October 2024 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert. 
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process.  If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.

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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, it’s 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.

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 Ukdiversity.recruitment@gsk.com or 0808 234 4391. 

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive .

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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