Site Name:UK - London - New Oxford Street
Posted Date:Oct 23 2024

Are you highly self-motivated, forward-thinking, and eager to explore innovative ways of applying new technologies to solve business problems? Do you prioritize business value and communicate effectively with stakeholders? Are you passionate about learning and applying modern technology to GSK Clinical Trials to derive greater insights, reduce risks, and optimize costs and timelines? Does collaborating with technical peers and learning new technologies excite you? If so, we'd love to hear from you!

This role is crucial for constructing the Development Data Fabric and developing GenAI use cases. You will collaborate with architects, engineers, data modelers, product owners, and other team members within Development Tech and R&D. Leveraging your deep understanding of machine learning, you will work on complex projects to create systems that maximizing productivity in R&D. You will tackle complex problems that require innovative solutions, making this a challenging and rewarding career for those passionate about AI and technology.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK

In this role you will

• Leadership and Collaboration:
  • Lead, mentor, and manage a team of data engineers, machine learning engineers, and Software Engineers.
  • Foster a collaborative and inclusive team environment.
  • Set clear team goals, delegate tasks, and ensure alignment with project objectives and deadlines.
  • Work with other teams to define DevOps and data platform practices to meet the requirements of clinical solutions.
• Technical Expertise:
  • Provide technical expertise in data engineering, software architecture, machine learning model development and implementation..
  • Ensure the quality and scalability of data pipelines, ML models, and AI systems.
  • Conduct PoCs of new technologies and help embed them in product teams.
  • Maintain best practices for engineering and architecture on our Confluence site.
• Project Management:
  • Oversee planning, execution, and delivery of data and AI projects.
  • Coordinate with cross-functional teams to ensure seamless integration of AI solutions.
  • Manage project timelines, budgets, and resources effectively.
• Innovation and Strategy:
  • Develop strategies for leveraging data and AI to solve business problems and create new opportunities.
  • Identify and prioritize AI use cases that drive business value.
  • Promote a culture of innovation and continuous improvement.
• Compliance and Standards:
  • Ensure technical delivery is fully compliant with GSK Security, Quality, and Regulatory standards.
  • Ensure the use of relevant R&D Tech/central services and collaborate with service partners in the identification and delivery of service improvements.
  • Pro-actively engage in experimentation and innovation to drive relentless improvement.
• Stakeholder Engagement:
  • Collaborate with business stakeholders to translate needs into technical requirements.
  • Communicate complex technical concepts to non-technical stakeholders.
  • Ensure alignment between business objectives and data/AI initiatives.

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

• Proficient with at least 3 of the following skills and able to demonstrate knowledge and value in all:
  • AI/ML skills, including GenAI, Large Language Models and Named Entity Recognition
  • Software development, architecture design & technology platforms/frameworks.
  • Data Engineering
  • Agile, DevOps & automation (testing, build, deployment, CI/CD, etc.) in Azure

• Proficiency in programming languages: Python (preferred), Java, R, JavaScript.
• Understanding of machine learning and AI, including generative AI algorithms and data pre-processing techniques.
• Expertise in generative models, developing domain-specific models, and fine-tuning foundation models like GPT-4.
• Strong proficiency in AI frameworks such as TensorFlow and PyTorch.
• Strong understanding of NLP.
• Familiarity with software development methodologies.
• Experience with cloud computing platforms, especially in Azure for AI deployment.
• Ability to process and visualize data effectively.
• Good understanding of software paradigms: domain-driven, procedural, data-driven, object-oriented, functional.
• Familiarity with Python
• Demonstrable depth in more than one area of software engineering and technology.

Preferred Qualifications & Skills:

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

• Subject matter expertise in clinical development.
• Understanding of relevant technical and scientific domains to meet rapidly evolving R&D strategy and ambition.
• Experience in applying AI/ML, data curation, virtualization, predictive modeling, workflow, and advanced visualization techniques to enable decision support across multiple products and assets.
• Experience in agile software development and microservices using Kubernetes and Docker.

Join our team to lead key activities, drive innovation, and progress your career in a challenging and rewarding environment!

Closing Date for Applications: Wednesday 6th November 2024 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

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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 or .

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