Senior AI/ML Engineer - Sequence Learning

Site Name: London The Stanley Building Posted Date: Dec 6 2022 Senior AI/ML Engineer – Sequence Learning At GSK we see a world in which advanced applications of artificial intelligence and machine learning (AI/ML) 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 AI/ML. If that excites you, we'd love to chat. The AI/ML Sequence Learning Team applies machine learning and AI methods to biological sequence (DNA, RNA, protein) data from large-scale human genetic, functional genomic and single cell experiments. Models operating directly on sequence data that can infer how variants alter protein/RNA abundance, structure and function have the potential to be transformative in drug discovery, empowering us to find new life saving medicines. We are looking for a Senior AI/ML Engineer to help us make this vision a reality. Competitive candidates will have a track record in developing state-of-the-art (SOTA) deep learning models for solving challenging real world scientific problems. You should be an outstanding scientist with in-depth knowledge in modern machine learning. You can convert vaguely described biological/drug discovery challenges into well-defined machine learning problems. You can independently execute and deliver full AI/ML driven solutions 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. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We’re combining the power of genetic and genomic insights into what causes disease, with the speed and scale of AI/ML to make better predictions about who a treatment might work for, and why. We believe this powerful combination of data and technology holds the key to fundamentally transforming medical discovery for the better, improving R&D success rates and shaping how even the most challenging diseases, like neurological conditions and cancer, can be both prevented and treated. In 2021 we delivered four major product approvals: Cabenuva for HIV, Jemperli for endometrial cancer, Xevudy for COVID-19 and Apretude, our new long-acting medicine for HIV prevention. Find out more: Our approach to R&D In this role you will Use your expertise in machine learning, software engineering and genomics to lead the hands-on delivery of AI/ML-powered services and libraries Work closely with subject matter experts in human genetics to conceive, plan and execute novel AI/ML solutions to key drug discovery problems Be a standard bearer for scientific, machine learning and software engineering best practice in the organisation, constructing robust, tested, production-grade software products with well-characterised performance and limitations Fully participate in the scientific and engineering culture of the Sequence Learning Team, as a code reviewer, collaborator and mentor Continuously develop expertise in a fast-moving and intellectually challenging (but highly rewarding!) scientific space Exhibit excellent project management and communication skills, taking full ownership and working transparently to deliver objectives to specification and on time Closing Date for Applications: 20/12/22 (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 +44 (0)808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process. *LI-GSK Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Graduate studies in computer science or applied mathematics, undergraduate studies in computer science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in computer science and equivalent work history. Candidates with graduate studies in computer science and biological sciences or equivalent work history will be highly competitive Highly experienced in developing deep learning models An outstanding scientist, machine learning engineer, and software engineer. Demonstrate expertise and depth in at least one area and breadth across your expertise Proficiency with standard deep learning algorithms and model architectures Familiarity with current deep learning literature and mathematics of machine learning In depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Advanced level in PyTorch, Tensorflow, or other deep learning frameworks Highly experienced/accomplished in software engineering with advanced skills in python and/or C++ Experience with DevOps stack: version control, CI/CD, containerization, etc. At least one peer reviewed publication Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: PhD in Machine Learning Knowledge in disease biology, molecular biology and biochemistry Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics) Peer reviewed publications in major AI conferences Experience in design, development and deployment of commercial AI/ML software Track record of contributing to open-source projects Mentality of commit early and often, metrics before models, and shipping high quality production code 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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. 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. Find out more: Annual Report 2021 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. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. 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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re 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. 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