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.

 

We're looking for an accomplished 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.

 

Strong candidates will have a track record of shipping high performing AI/ML powered products, academic excellence, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning. Education in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. 

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: 

 

• Degree in a quantitative or engineering discipline (computer science, bioengineering, physics, mathematics, electrical engineering, etc) or equivalent work experience
• Experience in major deep learning framework (Pytorch, Tensorflow)
• Programming expertise in Python
• Experience with fundamental components of AIML engineering stack (Git, SQL, Shell Scripting)
• Knowledge of machine learning best practices

 

Preferred Qualifications: 

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

 

• Internship experience as researcher in AIML focused academic lab or AIML engineer or SWE in industry
• Experience working with biomedical datasets (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)
• 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 $130,900 to $177,100 taking into account a number of factors including work location, 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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