AI/ML Engineer - Sequence Learning

Are you ready to be at the forefront of cutting-edge innovation, where your expertise in Artificial Intelligence and Machine Learning can contribute to groundbreaking advancements in healthcare? At GSK, we're not just envisioning the future of medicine—we're actively shaping it. Join us in our mission to harness the power of AI and machine learning to revolutionize drug discovery and development, and ultimately, to save lives.

As part of the AI/ML Sequence Learning Team, you'll be immersed in a dynamic environment where you'll apply state-of-the-art machine learning and AI techniques to decode biological sequences, unlocking the secrets hidden within DNA, RNA, and proteins. Imagine the potential: your work could lead to the discovery of novel therapies for existing diseases and enable rapid responses to emerging health threats, all while personalizing treatments for better outcomes and fewer side effects.

We're on the lookout for exceptional AI/ML Engineers who thrive on challenges and are driven by the opportunity to make a real impact. If you're passionate about pushing the boundaries of what's possible in AI and ML and are excited to collaborate with a diverse team of experts, then we want to hear from you.

What can you expect as part of the team? At GSK, we foster a culture of ownership, accountability, and continuous learning. Your contributions will be valued from day one, and our leaders are committed to supporting your growth and development throughout your career journey.

In this role you will

• Apply machine learning and AI methods to biological sequence (DNA, RNA, protein) data from large-scale human genetic, functional genomic and single cell experiments.
• Ship high performing AI/ML powered products in production environments.
• Ensure that the code and services being shipped are stable, tested and performing as expected in an agile environment.

Why you?

Basic Qualifications & Skills:

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

• Graduate studies in Computer Science or Applied Mathematics.
• Strong proficiency in Python.
• Experience with PyTorch, Tensorflow, or other deep learning frameworks.
• A solid foundation across the ML stack.

Preferred Qualifications & Skills:

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply.

• PhD in Computer Science or related field.
• Knowledge of disease biology, molecular biology, and biochemistry.
• Hands-on experience with biological data analysis (e.g., genomics, transcriptomics, epigenomics, proteomics).
• Demonstrated understanding and application of best practices in Machine Learning.
• Track record of contributing to open-source projects.

Ready to embark on an exhilarating journey where your skills and passion can make a real difference? Apply now and be part of our team driving innovation at the intersection of AI and healthcare. Together, let's shape the future of medicine and transform lives for the better.

Closing Date for Applications – Monday 6th May 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.

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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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