GSKAt 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.

We're looking for an accomplished Senior Machine Learning Engineer to help make this vision a reality. In this role, you will build and deploy machine learning models to accelerate the development of oligonucleotide therapeutics. You will work with foundational genomics models and multiomics datasets from patients and lab experiments to model aspects of RNA biology that will inform our understanding the molecular mechanisms of diseases, drug response, and design of best-in-class drugs in a new and exciting therapeutic modality. Familiarity and experience with genomics and RNA biology is a plus, but not required. This position is open to machine learning engineers with a track record of excellence in other domains who have a desire to learn.

Competitive candidates will have a track record of shipping high performing machine learning powered products in production environments. They are highly accomplished Machine Learning Engineers, with breadth across machine learning methods and depth in at least one area. Additionally, they are accomplished software engineers with a track record of shipping stable, tested, performant code and services in an agile environment. A senior engineer can consistently take a poorly defined problem and formulate clear objectives, then execute on it to build a high performing product or service. They are the model for the team in terms of code quality, standards, and best practices, and they act as mentors to junior members of the team.

Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent (or in the life sciences with a focus on machine learning techniques) and 2+ years of industry experience building machine learning powered tools. Previous research experience in the application of deep learning techniques in drug discovery is strongly preferred, but not necessary.

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:

• 2+ years of industry experience in machine learning engineering
• Graduate studies in Computer Science, Applied Mathematics, or Life Sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history.
• Experienced in software engineering with advanced skills in python and/or C++
• Experience in PyTorch, TensorFlow, or other deep learning frameworks
• Experience with ML stack, and depth in at least one discipline

Preferred Qualifications:

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

• PhD in Computer Science or equivalent Life Sciences with Machine Learning focus
• Demonstrated success shipping products powered by machine learning
• Academic or industry experience in the biomedical sciences especially genetics, molecular biology, or AI driven drug discovery
• Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services
• Understanding of modern ML Architectures, Platforms, and backend systems
• Mentality of commit early and often, metrics before models, and shipping high quality production code
• Track record of contributing to open source projects.

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The annual base salary for new hires in this position ranges from $153,000 to $207,000 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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