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’s 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 Senior Machine Learning Engineer who wishes to turn their talents to the healthcare sector, with a focus respiratory diseases. You will be working with other engineers on building products to support multiple large-scale projects within AI/ML. In 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 GSK’s state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research.

In this role you will

 As a Senior Machine Learning Engineer focusing on clinical trials and respiratory diseases 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’s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field
• Extensive industry experience in machine learning engineering
• Extensive experience in Python programming and knowledge in machine learning and statistics
• Demonstrated proficiency working with clinical trial 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
• Track record of supervisory or mentoring positions.

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

Closing Date for Applications: Wednesday 11th September 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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