At a Glance
- Tasks: Lead a team in developing AI/ML applications for medical imaging and health data.
- Company: GSK is a global biopharma company focused on innovative therapies and improving health outcomes.
- Benefits: Enjoy a supportive culture, career development opportunities, and a commitment to diversity and inclusion.
- Why this job: Join a mission-driven team transforming drug development with cutting-edge AI technology.
- Qualifications: PhD in a related field and extensive experience in AI/ML and software engineering required.
- Other info: Be part of a collaborative environment where your ideas can make a real impact.
The predicted salary is between 72000 - 108000 £ per year.
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
- 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 in 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
- 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
Why GSK? 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.
Senior Director Artificial Intelligence/Machine Learning employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Director Artificial Intelligence/Machine Learning
✨Tip Number 1
Familiarise yourself with GSK's mission and values. Understanding their commitment to innovation in AI/ML for healthcare will help you align your experience and vision with theirs during discussions.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed cross-functional teams or complex projects in the past. GSK values accountability and collaboration, so highlight your ability to foster a positive team environment.
✨Tip Number 3
Stay updated on the latest advancements in AI/ML, particularly in medical imaging and multimodal health data applications. Being knowledgeable about current trends will demonstrate your passion and expertise in the field.
✨Tip Number 4
Prepare to discuss your approach to diversity and inclusion in team building. GSK is committed to these principles, so be ready to share how you've implemented them in your previous roles.
We think you need these skills to ace Senior Director Artificial Intelligence/Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML, particularly in medical imaging and multimodal health data applications. Emphasise your leadership roles and any relevant projects that demonstrate your ability to manage complex, cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and GSK's mission. Discuss how your background aligns with their vision of using AI/ML to develop novel therapies and improve patient outcomes. Be specific about your achievements in AI/ML and how they relate to the responsibilities of the Senior Director position.
Showcase Relevant Projects: Include examples of past projects where you applied deep learning algorithms or developed software solutions in the healthcare sector. Highlight any peer-reviewed publications or significant contributions to AI conferences that demonstrate your expertise and commitment to the field.
Highlight Soft Skills: GSK values excellent communication and interpersonal skills. Make sure to mention experiences where you've successfully led teams, fostered collaboration, and maintained an inclusive environment. This will show that you can embody the principles of ownership and accountability that GSK promotes.
How to prepare for a job interview at Gsk
✨Showcase Your Technical Expertise
As a Senior Director of AI/ML Engineering, it's crucial to demonstrate your deep understanding of machine learning algorithms and software engineering practices. Be prepared to discuss specific projects where you've applied these skills, particularly in medical imaging or multimodal health data applications.
✨Emphasise Leadership and Team Building
Highlight your experience in leading technical teams and managing cross-functional projects. Discuss how you've fostered a culture of collaboration and accountability within your previous teams, as this aligns with GSK's values of ownership and continuous development.
✨Communicate Clearly and Effectively
Given the importance of communication in this role, practice articulating complex technical concepts in a way that is accessible to non-technical stakeholders. Prepare examples of how you've successfully communicated project goals and updates to leadership and other teams.
✨Align with GSK's Vision and Values
Research GSK's mission and values thoroughly. Be ready to discuss how your personal values align with their commitment to innovation in healthcare and creating an inclusive work environment. This will show your genuine interest in contributing to their ambitious vision.