Principle Data and GenAI Engineer

Are you highly self-motivated, forward-thinking, and like to explore new ways of applying new technologies to solve Business problems? Do you understand the importance of prioritising according to business value and can communicate with stakeholders? Do you have an interest in learning and applying modern technology to GSK Clinical Trials, to enable GSK to derive greater insights, reduce risk and optimise cost and timelines? Does learning new technology and collaborating with technical peers motive you?

We’d like to hear from you if you think you might make a good fit!

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 Development Tech 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 demonstrates both depth and breadth across key data engineering competencies e.g. Software Development, Testing, DevOps, Data Science/Analytics, & cloud as well as knowledge of natural language processing (NLP), large language models (LLMs) and retrieval augmented generation (RAG). 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.

• Extracting information from unstructured (text) data, entity detection and building natural language based search systems which scan curated data sources and provide accurate responses

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/C#/Python, Denodo, GIT, Azure Devops, Data Bricks, Snowflake, Spark, Azure Data Factory, ADLS V2, Kafka, Selenium, JUnit/NUnit, SAFe, Kanban, Docker, AI/ML, Azure Cloud Architecture , LLM access (using OpenAI APIs), LangChain. 

The Principle Data and GenAI Engineer 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.

• Conducting PoCs of new technologies and helping to embed them in product teams

• Being part of a cutting-edge team creating the Development Data Fabric

• Ensures that technical delivery is fully compliant with GSK Security, Quality and Regulatory standards

• Ensures use of relevant R&D Tech / central services and collaborating with service partners in identification and delivery of service improvements

• Maintains best practices for engineering and architecture on our Confluence site. This requires hands on experience with cutting edge technologies such as the latest large language models, Langchain (or other similar LLM frameworks) and RAG.

• 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?

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:

• Proficient with at least 3 of the below skills and can demonstrate knowledge and value with relevant experience in all the following competencies:

  • Data Platforms and Domain-driven design

  • Agile, DevOps & Automation [of testing, build, deployment, CI/CD, etc.]

  • 1+ years’ experience in experimenting and developing with LLM covering some of the following areas:

    • Building conversational agent-based UX.

    • Working with key LLM models APIs (e.g. Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex) 

    • Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. 

    • Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information retrieval. 

    • VectorDBs/ semantic search/ implementing RAG systems that combine knowledge bases with Generative AI models. 

• Role requires:

  • Demonstrated skill in delivering high-quality engineered data products

  • 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

• Familiarity and use of various open-source ecosystems including JavaScript, Bigdata, java, python etc.

• Good understanding of various software paradigms: domain-driven, procedural, data-driven, object-oriented, functional

• Expertise with Python and SQL

• Demonstrable knowledge depth in more than one area of software engineering and technology

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

• Subject matter expertise in clinical development

• Experience in search technologies, including indexing, ontology, knowledge graph, query processing, annotation, and performance optimization.

• Experience in agile software development and Micro-Services using Kubernetes and Docker

• 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.

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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