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 Phenomics team applies advances in machine learning and AI methodologies to high dimensional imaging readouts of high-throughput screens, enabling rich image-based phenotypes of genetic and small-molecule perturbations. These phenotypes, and supporting tools and services, can be leveraged at various stages of the drug discovery pipeline. This is a high impact organization at the intersection of computer vision and life sciences that is critical to our strategy for accelerating and scaling the preclinical pipeline.  

This is a director level role with high visibility and growth potential. This is a technical management track role with responsibility for direct reports. Competitive candidates will have a track record of high output leadership as well as experience shipping machine learning products in production. Equally important will be excellent communication, interpersonal and organizational skills, and the ability to represent and transmit the values and principles of our AIML team.  

The candidate should be comfortable being accountable for setting the direction, standards and culture of a high performing machine learning engineering team, with demonstrable expertise across machine learning, software engineering and computer vision. Candidates with expertise in high throughput phenotypic screening will be highly competitive. Equally important will be excellent communication, interpersonal and organisational skills, and the ability to represent and transmit the values and principles of our AI/ML team.  

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.  

As a Director of AI/ML Engineering, you will:  

• Lead a machine learning engineering team responsible for developing and deploying production services to extract insights from high content phenotypic screens 

• Manage complex, multi-quarter, cross-functional projects  

• Engage with stakeholders from a variety of scientific and engineering disciplines to deliver business impact 

• Be a standard bearer for machine learning and software engineering best practices within the organization  

• Develop plans to meet requirements, organize a team capable of executing the plans, and lead and track delivery.  

• Drive an interview process to enable team growth adhering to diversity and inclusion requirements  

• Maintain a safe and inclusive team environment in which people thrive  

• Operate in a transparent way, communicating clearly and accurately to leadership and the broader organization  

• Develop a high-performing team through coaching, feedback and ensuring opportunities for growth  

Why you?

Basic Qualifications:  

• Graduate studies in Computer Science, or undergraduate studies in Computer Science with relevant graduate studies in the life sciences with a focus on AI/ML techniques 

• Track record as an independent contributor capable of end-to-end development of ML-powered products for computer vision applications  

• Advanced Python programming skills and a track record of delivering robust software solutions  

• 2+ years' experience in a technical lead or engineering manager role with direct reports  

• 5+ years' experience of professional software development practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices  

• 5+ years with standard deep learning algorithms and model architectures  

• In depth knowledge 5+ years in machine learning best practices, scalable training and deployment  

Preferred Qualifications:

• PhD in Computer science  

• Expertise in high content imaging and/or phenotypic platforms 

• Experience shipping large scale data products, APIs, and services 

• A track record of developing leaders 

#LI-GSK

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.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

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.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/