Lead AI/ML Engineer

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.

The AI/ML Biomedical AI Team applies machine learning and AI methods to questions at the start and end of the journey of drug development. Our viral evolution group is focused on applying these techniques to support the development of cutting-edge treatments and prevents for viral diseases like Influenza, RSV, and COVID-19. We wish to see humanity fully realize the potential of new platforms like mRNA vaccines, oligonucleotides, and monoclonal antibodies when combating infectious diseases. To do so we model viral evolution using large scale datasets and emerging AIML techniques.

We are looking for a Lead AI/ML Engineer to help us make this vision a reality. Competitive candidates will have a track record in developing 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 problem. You can independently execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmark and product driven research for model performance improvement, to shipping stable, tested, performant code and services in an agile environment. You are on team null hypothesis, focused on delivering well-vetted tools with clearly defined limitations. Your expertise in protein and RNA-language modelling will be valued.

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.

Why you?

Basic Qualifications:

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

• Doctoral degree in Computer Science or Applied Math, 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 CS and biological sciences or equivalent work history will be highly competitive.
• Experienced in developing deep learning models.
• A scientist, machine learning engineer, and software engineer with expertise and depth in at least one area.
• Experience with standard deep learning algorithms and model architectures.
• Familiarity with current deep learning literature and math of machine learning.
• Knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation.
• Experience in PyTorch, Tensorflow, or other deep learning frameworks.
• Experienced/accomplished in software engineering with advanced skills in python and/or C++
• Experience with devops stacks: version control, CI/CD, containerization, etc.
• At least one peer reviewed publication.

Preferred Qualifications:

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

• PhD in Machine Learning.
• Expertise in protein or RNA language models
• Knowledge in disease biology, molecular biology and virology.
• 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

#LI-GSK

The annual base salary for new hires in this position ranges from $0 to $0 taking into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

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.

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GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, 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.

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