포스팅 날짜: Mar 31 2025
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 Clinical Development team is responsible for creating AI/ML applications to support the development of GSK’s assets (Pharma and Vaccine), from early to later-stage development, aligned with GSK’s strategy of “software for every asset.” Solutions range from response prediction to complex biomarker models, utilizing multimodal data such as computational pathology, electronic health records and RNAseq data. This holistic approach allows AIML to develop models ahead of time, validated with clinical development data, for improving medicines. Such models have the potential to be transformative in drug development, empowering us to find new life saving medicines.
We are looking for a Senior Director of AI/ML Engineering – Foundation Models in Medical Imaging. This is a technical management track role with responsibility for building out a team in this domain. The candidate should be comfortable being accountable for setting the direction, standards, and culture of a machine learning engineering sub-team, with demonstrable expertise across machine learning, software engineering, computational pathology and medical imaging. Equally important will be excellent communication, interpersonal and organizational 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 the Sr. Director of AI/ML Engineering you will:
- Lead a machine learning engineering team specializing in medical imaging and multimodal health data applications
- Manage complex, multi-quarter, cross-functional projects
- Be a standard bearer for data science and software engineering best practices
- 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 within the organization
Basic Qualifications:
- 3+ years proficiency with standard deep learning algorithms and model architectures
- Have developed a high-performing team through coaching, feedback and ensuring
- ·2+ years' experience in a technical lead or engineering manager role with direct reports
- 3+ 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 - 10+ Advanced Python programming skills
- PhD a related field (computer science, math, machine learning)
Preferred Qualifications:
- Peer reviewed publications in major AI conferences
- Experience with large language models
- Experience working in AI/ML health applications
- Track record as an independent contributor capable of end-to-end development of
- Track record of delivering robust software solutions
- In depth knowledge in machine learning best practices, scalable training and
deployment - Experience working with biological sequence data (e.g. genomics, transcriptomics, proteomics)
- ML-powered products for health applications
#LI-GSK
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.
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.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or 0808 234 4391. The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.
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