Principal Data Engineer (Platform AI/ML)

Key Skills

Cloud computing, Large Language Models - LLMs, Python Programming, SQL

Job Description

GSK is one of the world’s foremost pharmaceutical and healthcare companies and we are proud to be leading a healthcare revolution.

By disrupting our approaches to R&D and commercial business processes, Data and Analytics are allowing us to integrate, simplify and unlock all of our data to drive innovation, decision making and enable our transformation in servicing our patients, healthcare professionals and consumers.

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

• Implement and operationalize the strategy for Generative AI at GSK
• Identify opportunities to apply the latest advancements in Large Language Models (LLMs)
• Quickly prototype scenarios from LLMs till UX for user testing purposes
• Educate technical and business team members and leaders on the use of Generative AI.
• Influence the AI/ML stack like Feature Stores, Model Stores, and automated MLOps to create most value out of LLMs.
• Prompt engineer the right prompts to optimize LLMs functioning.
• Partner and work with Data Engineers, Data Testers, Architects, AI/ML Specialists to drive the Data and Analytics strategy and program forward in GSK.
• Lead new technology introduction as well as document how they will be implemented.
• Develop platform & data strategy to support this capability for GSK data platforms, pipelines, and applications.
• Oversee release process and focus on automation opportunities to drive efficiencies and enable more enhancement and product releases onto the platform.
• Act as support arm for our product management teams to leverage CODE Orange platform self-service products at GSK in support of its Tech Transformation and Future Ready program.
• Own the management of strategy, delivery, and continuous improvement of platform data operations.
• Support infrastructure monitoring and manage the overall quality assurance of all data pipelines and algorithms.
• Optimize the delivery of Data Platform Services/Frameworks, in terms of both throughput and quality, by promoting and embedding tools and processes, and agile delivery methods as appropriate.
• Work with Product Management, Portfolio Management and Departmental Head to manage demand pipeline and balance with engineering team capacity.

Why you?

Basic Qualifications:

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

• Bachelor’s Degree in Computer Science, Software Engineering or Data Science.
• 5+ years of programming experience in Java and/or Python.
• 5+ years of experience in distributed systems (cloud computing).
• 5+ years of experience in a technical lead capacity role.

Preferred Qualifications:

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

• Master’s Degree in Computer Science, Software Engineering or Data Science
• Experience with the Azure data and analytics stack: Databricks, Data Factory, SQL DW, Cosmos DB, Power BI, etc.
• Experience integrating and supporting a variety of enterprise data tools: Ataccama, Talend, Collibra, Snowflake, Stream Sets, etc.
• Experience with enterprise cloud data architecture (preferably Azure) and delivering solutions at scale.
• Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.
• Experience applying CI/CD principles and processes to data solutions.
• Highly innovative mind-set and experience with analytics in a healthcare or CPG company.
• Experience using Spark and/or Databricks to solve data science and machine learning business problems.
• Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations.
• Ability to develop and maintain productive working relationships with suppliers and specialist technology providers.
• Superior communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.
• Proven track record of developing and executing data-driven strategies that enhance business performance.
• Strong knowledge of statistical modeling, machine learning, and deep learning techniques, and their practical applications in a business context.

Why GSK?

Uniting science, technology and talent to get ahead of disease together

GSK is a global biopharma company with a special purpose ahead of disease together –– to unite science, technology and talent to get 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. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years.

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

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. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

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.