Senior Principal AI/ML Engineer

At GSK we are building a best-in-class data and prediction powered team that is ambitious for patients. We have already delivered unprecedented change over the past four years, improving R&D, becoming a leader in Consumer Healthcare, strengthening our leadership, and transforming our commercial execution. Now, we're making the most significant changes we've made to our business in over 20 years. We're on track to separate and create two new companies in 2022: New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and genetics science; and a new world-leading consumer healthcare company of loved and trusted brands.
With new ambition comes new purpose. For New GSK, this is to unite science, talent, and technology to get ahead of disease together – all with the clear ambition of delivering human health impact; stronger and more sustainable shareholder returns; and as a new GSK where outstanding people thrive.
Getting ahead means preventing disease as well as treating it. How we do all this is through our people and our culture. A culture that is ambitious for patients – so we deliver what matters better and faster; accountable for impact – with clear ownership of goals and support to succeed; and where we do the right thing. So, if you're ready to improve the lives of billions, join us at this exciting moment in our journey. Join our challenge to get Ahead Together.

As R&D enters a new era of data driven science, we are building a data engineering capability to ensure we have high quality data captured with context and aligned data models, so that the data is useable and reusable for a variety of use cases.

GSK R&D Digital and Tech's collective goal is to deliver business impact, including the acceleration of the discovery and development of medicines and vaccines to patients. The R&D Digital and Tech remit has expanded over the past 2 years, and to position GSK for the future, The change will strengthen R&D Tech, to provide more strategic impact, focus, accountability, and improved decision making in the use of Digital, Data and Analytics (DDA) to strengthen the pipeline.

Job Purpose

This role contributes to the construction of the development data fabric and data strategy. This role will interact with architects, engineers, data modelers, product owners as well as other team members in Clinical Solutions and R&D. This role will actively participate in creating technical solutions, designs, implementations & participate in the relentless improvement of R&D Tech systems in alignment with agile and DevOps principles.

The Data Engineer – AI/ML demonstrates both depth and breadth across key data engineering competencies e.g. Software Development, Testing, DevOps, Data Science/Analytics, and cloud. Can collaborate with experts from other subject domains. Primary responsibilities include using Azure cloud services and GSK data platform tools to ingest, egress, and transform data from multiple sources.

In addition, the role will demonstrate core engineering knowledge/experience of industry technologies, practices, and frameworks such as data fabric and scaling data platforms, containerization, cloud-based platforms, data analytics, machine learning, and data streaming. Examples of technologies include Java/Python, Denodo, GIT, Azure Devops, Databricks, Presto, Snowflake, Spark, Azure Data Factory, ADLS V2, Kafka, Selenium, JUnit/PyTest, SAFe, Kanban, Docker, AI/ML, Azure Cloud Architecture including networking principles and scaling applications.

The Data Engineer – AI/ML, Clinical Solutions role is a senior technical role and will provide you the opportunity to lead key activities to progress your career. These responsibilities include the following:

• Working with other teams that are defining devops and data platform practices to meet the requirements of clinical solutions.
• Supporting engineering teams in the adoption and creation of data mesh best practices.
• Conducting PoCs of new technologies and helping to embed them in product teams.
• Ensures that technical delivery is fully compliant with GSK Security, Quality and Regulatory standards.
• Ensure engineered solutions address scale, reuse, and high availability requirements by using platforms and established standard methodologies.
• Work on Generative AI technologies.
• Collaborate with cross-functional teams including data scientists, product managers, and software engineers to solve complex problems.
• Ability to gain knowledge in ML Engineering with Large Language Models and run them efficiently (Managed LLMs and self-hosted LLMs)
• Maintains best practices for engineering and architecture on our Confluence site. This requires hands on experience with cutting edge technology.
• Pro-actively engages in experimentation and innovation to drive relentless improvement.
• Provides leadership, technical direction and GSK expertise to architecture and engineering teams composed of GSK FTEs, strategic partners, and software vendors.

Why you?

Basic Qualifications:

Are you ready to work in an environment where you are continuously expected to work on projects with new technology and expected to use this technology to deliver real business value?

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

• Total 15+ years of experience and proficient with some of the below skills and can demonstrate knowledge and value with relevant experience in all the following competencies:
  • 10+ years of work experience in large-scale, sophisticated systems development initiatives focused on Data & Analytics, Machine Learning, and similar areas with hands-on experience.
  • 3+ years of experience in building the applications, data pipelines, ML Ops Pipelines.
  • Experience in Programming Languages like Python, and exposure to some of Python's ML ecosystem (numpy, pandas, scikit-learn, tensorflow, etc.)
  • Experience building highly scalable analytical applications using Messaging/Streaming Technologies (Kafka, Azure Eventhub), Relational and NoSQL database, Datawarehouse (Snowflake), RESTful APIs, and ETL/ELT technologies.
  • Keen understanding of event-driven, microservices architecture, modern software integration patterns and software engineering principles.
  • Must have experience in Azure, Spark, Python and Databricks.
  • Software development, architecture design & technology platforms/frameworks.
  • Data Platforms and Domain-driven design.
  • Agile, DevOps & Automation [of testing, build, deployment, CI/CD, etc.]
  • Data science (e.g. AI/ML), data analytics & data quality/integrity.
  • Testing strategies & frameworks
• Role requires:
  • Demonstrated skill in delivering high-quality engineered data products.
  • Familiarity with statistical and machine learning techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
  • Knowledge of industry standards and technology platforms aligned to GSK and R&D roadmaps.
  • Excellent communication, negotiation, influencing and stakeholder management skills.
  • Customer focus and excellent problem-solving skills.
  • Computer Science or related bachelor's degree – MS in Computer Science is preferred.
  • Good understanding of various software paradigms: domain-driven, procedural, data-driven, object-oriented, functional.
  • Familiar with Java and/or Python.
  • Demonstrable knowledge depth in more than one area of software engineering and technology.

Preferred Qualifications:

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

• Experience in agile software development and DevOps relevant technology platforms [e.g., Kubernetes] and frameworks [e.g. Docker] including cloud technologies & data structures (i.e. information management), data models or relational database design.
• Subject matter expertise in clinical development
• R&D Tech requires Engineers with understanding of the relevant technical and scientific domains. Able to deliver continuous change to meet rapidly evolving R&D strategy and ambition.
• Experience with agile development methods, with security strategies and best practices, data integration mechanisms, architectural design tools, delivering and integrating COTS applications, areas of Service Oriented Architecture (SOA), Application Integration, Business Process Management and Data Quality.
• Experience in applying AI/ML, data curation, virtualization, predictive modelling, workflow, and advanced visualization techniques to enable decision support across multiple products and assets to drive results across R&D business operations.

At GSK we value diversity (Gender, LGBTQ +, PwD etc.) and treat all candidates equally. We aim to create an inclusive workplace where all employees feel engaged, supportive of one another, and know their work makes an important contribution.

#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.

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