Search the 17 jobs at GSK

As a Junior Statistician, responsible for basic design of experiments, analysis, and study lead statistician role. Solves problems, ensures quality, compliance, and collaborates within the team. Contributes to forums and builds capabilities in biostatistics.

The Principal Data Engineer role at GSK involves contributing to the construction of the development data fabric and data strategy. Responsibilities include using Azure cloud services and GSK data platform tools to ingest, egress, and transform data from multiple sources. The role requires expertise in various technologies such as Java, C#, Python, Data Science, cloud services, and data analytics.

Principle Data and GenAI Engineer role at GSK involves contributing to the construction of the development data fabric and data strategy. Responsibilities include using Azure cloud services, GSK data platform tools, and collaborating with other team members to create technical solutions in alignment with agile and DevOps principles. The role also includes working with cutting-edge technologies like large language models, Langchain, and RAG.

The Principal - Cyber Risk and Assurance at GSK is responsible for embedding the concept of \

Lead the design and implementation of innovative cloud solutions on Azure for pharmaceutical marketing and sales, ensuring scalability, security, and cost-effectiveness. Mentor junior engineers, automate cloud infrastructure processes, and ensure compliance with industry regulations.

As a Data Engineering Manager at GSK, you will lead the development of data management systems, implement data solutions using new gen technologies, and oversee the team to achieve departmental goals. This role offers the opportunity to progress your career by handling ambiguous situations, sponsoring improvements, providing technical guidance, and contributing to the strategic roadmap.

Principal Data Engineer role at GSK focused on building a data engineering capability to ensure high-quality data captured with context and aligned data models. Responsibilities include using Azure cloud services and GSK data platform tools to ingest, egress, and transform data from multiple sources. Key activities involve leading devops and data platform practices, conducting PoCs of new technologies, and ensuring technical delivery compliance with GSK standards.

Principal AI/ML Engineer role at GSK focusing on Generative AI, NLP, document classification, and data science projects. Responsibilities include designing and developing AI applications, evaluating models, data clustering, and cross-team collaboration. Requires a Bachelor's degree in computer science and 5+ years of experience in AI/ML.

The Principal Product Designer at GSK will work on developing and promoting the use of terminologies, ensuring data quality, and supporting system strategy. They must have in-depth knowledge of semantic technologies, ontologies, and reference data.

This role involves managing HR data in Workday, generating reference letters, performing data management processes, ensuring data accuracy, and delivering HR services. Candidates should have experience in Workday transaction management, HR shared services, and Microsoft Office. Proficiency in English communication, attention to detail, and experience with the Microsoft Power Platform are required.

Lead statistician role in India supporting global biostatistics objectives. Drive statistical strategies for clinical trials, apply advanced methodologies like Bayesian techniques, and contribute to protocol development and analyses plans. Requires strong knowledge of statistical standards and industry practices.

Senior Statistician role at GSK, involving design, execution, analysis, and interpretation of clinical trials. Requires strong technical skills in statistical methodologies and excellent communication abilities. Preferred experience in modeling, simulation, regulatory interactions, and working with CROs.

This role requires technical expertise in Quality Control technologies such as Empower and NuGenesis, working within an Agile Product Model and DevOps principles. Responsibilities include developing, testing, deploying, and maintaining technology solutions to deliver business value for the company. The key focus is on QC processes in the Pharma/Biopharma industry and ensuring compliance with GxP regulations.

Join our dynamic team as an MLOps Engineer to build scalable and efficient machine learning solutions. Responsibilities include managing ML models, developing CI/CD pipelines, and optimizing performance. Required skills include Python, TensorFlow, PyTorch, Azure, and CI/CD tools.

The ESG Assurance Coordinator at GSK is responsible for managing diary, setting up and attending calls, organizing document sharing, and proposing technology solutions for efficiency. This role requires 3 to 6 years of experience and coordination skills.

The Cloud FinOps Analyst is responsible for managing and optimizing cloud expenditures on the Azure platform, providing insights for cost-saving opportunities, and driving financial accountability. Collaborates with teams to implement cost optimization strategies and develops comprehensive FinOps reports. Required skills include proficiency in Azure platform tools, strong analytical and reporting skills, and excellent communication abilities.

The Azure DevOps Engineer is responsible for designing, implementing, and maintaining efficient CI/CD pipelines, automating infrastructure, and provisioning Azure PaaS services using Infrastructure as Code (IaC) to support the application stack. They play a crucial role in IT/OT operations, enhancing productivity and reliability of software development and deployment. Additionally, they lead collaboration efforts with application owners and the Central Infrastructure team to troubleshoot application or infrastructure issues, ensuring seamless integration and operational efficiency within the Azure environment.