Our purpose. We are a focused biopharma company with strong momentum and big ambitions, to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.

Product Owner – Manufacturing Engineering D&AI

The primary purpose of this role is to own Data & AI (D&AI) Products that will accelerate and improve probability of success of Manufacturing & Engineering activities in GSK’s Global Supply Chain, directly aligned to GSC’s Smart Manufacturing Digital Transformation Program. This role will act as a strategic bridge between business and Tech/Data worlds. This role will leverage business domain understanding, D&AI expertise, and Product Management skills to define and agree vision and roadmaps for individual D&A products such as Digital Twins, transformative AI use cases, and Master Data Management for the Manufacturing & Engineering businesses.

This role will be responsible for overseeing the development and deployment of data-driven and AI-powered solutions that enhance operational efficiency, product quality, and decision-making processes across the organization. The role involves collaborating with cross-functional teams, including various tech and business stakeholders, to identify and prioritize opportunities for leveraging data and AI technologies. The Product Owner will also be accountable for defining the product vision and strategy, managing the product backlog, and ensuring the successful delivery of innovative solutions that align with GSK’s Smart Manufacturing ambition.

Key Responsibilities :

Understanding needs, business processes and data requirements of customer-groups and users, and manage key business relationships for your D&AI products
Combining business understanding with knowledge of established and emerging D&AI capabilities to identify and cultivate D&AI use-cases from ideas into potential D&A products
Matrix-manage a mission based team focused on complex use case and platform capability delivery
Thinking and acting with agility, using experimentation, user demos and other sources of rapid feedback to iteratively refine the D&AI Product Roadmap and backlog throughout the Product lifecycle
Actively participating in quarterly and sprint planning, work with customers and other Product teams to reduce dependencies and remove blockers
Engaging with D&AI Architecture team and others to ensure D&AI Product technical design aligns with target architecture and established standards
Develop and oversee user training programs and provide ongoing support to ensure successful adoption and utilization of data and AI solutions by end-users.
Ensuring overall quality and compliance of D&AI Product including GxP Validation if required

Knowledge/Education Required

Bachelor’s degree in computer science, data science, engineering, science, or a related discipline

Artificial Intelligence and Data Science
Agile Product Management
Chemical Engineering
Biotechnology
Data Infrastructure

To provide the necessary foundational knowledge, technical competence, analytical thinking, problem-solving abilities, and credibility to effectively lead and drive data and AI strategy, innovation, and delivery within the pharmaceutical industry.

Preferred Level of Education

Master’s Degree in Engineering, Data Science, Computer Science or a related Discipline .

Artificial Intelligence and Data Science
Value Delivery and Strategic Alignment
Product Management

To demonstrate a deeper level of expertise, advanced knowledge, specialized skills, and a commitment to continuous learning, enhancing ability to lead and drive strategy, innovation, and delivery within the pharmaceutical industry.

Previous Experience Required

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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Senior Data Scientist

GSK is one of the world’s preeminent pharmaceutical and healthcare companies. We take pride in leading a healthcare revolution. Through disruptive approaches in R&D and commercial business processes, our Insights & Analytics team applies advanced Decision Science capabilities to drive innovation, augment decision making, and allows us to better serve our patients, healthcare professionals, and consumers.

Key Responsibilities:

Develop queries and framework to generate replicable output for medication adherence, source of business, co-morbidity index, patient pathway and other patient attributes using secondary patient and provider claims data(Xponent, LAAD)
Use statistical methods, such as Cluster Analysis, and appropriate predictive models to generate differentiated customer segments.
Apply business acumen to identify and quantify trend shifts in patient-centric metrics.
Use statistical and ML models to predict events such as likelihood to switch.
Maintain notebooks through clear and thorough documentation.
Support ad-hoc deliverables.
Develop PowerPoint Presentations to document major projects to enable knowledge transfer.
Collaborate effectively with team members to identify opportunities for enhancement to existing processes.
Manage stakeholder expectations through timely responses and transparent and clear expectations.

Required Qualifications:

Bachelor’s degree in Engineering, Statistics or a comparable quantitative field, and 7+ years of experience in pharmaceutical analytics.
Expertise in US Pharma databases (Xponent, Anonymized Patient Longitudinal Data, LAAD)
Proficiency in Python & SQL
Ability to work independently and prioritize effectively.
Mentoring team members, as needed.

Preferred Qualifications:

4+ years of experience in developing ML models
Familiarity with emerging GenAI capabilities
Good written and oral communication skills
Certification in Data Science

Principal AI/ML Engineer

Our mission is to help people around the world do more, feel better, and live longer. We achieve this by researching, developing, and providing innovative medicines, vaccines, and consumer healthcare products. Our dedication to scientific excellence and ethical practices guides everything we do.

Requirements :

Bachelors / Masters degree in computer science, Engineering, Math, Statistics, or a related STEM field with equivalent experience
10+ years of experience in a technical engineering role including 5+ years focused on AI/ML solutions delivery
Demonstrated experience leading and implementing AI/ML projects from ideation to delivery and evaluation
Demonstrable proficiency in cloud AI platforms and services (Azure, AWS, GCP, etc.)
Preferred to know Azure Open AI, AI Search, Cosmos Vector DB, GCP Vertex AI
Demonstrable proficiency in Gen AI solution pipeline engineering, RAG, Evaluations
Experience in generative AI techniques such as GANs and VAEs.
Familiarity with computer vision and image generation using AI
Demonstrable proficiency in Large Language Modeling and Transformer Architectures (BERT, GPT, etc.)
Demonstrable proficiency in AI/ML engineering systems with Python
Demonstrable proficiency of AI/ML frameworks and tools (MLFlow, TensorFLow, PyTorch, JAX)
Skills in data preprocessing and feature engineering for AI model training
Strong understanding of neural network architectures and optimization techniques.
Experience in healthcare (AI) / Biopharma (AI) preferrable
Experience working with cross-functional and distributed teams in a global and diverse environment
Experience in mentoring and coaching AI/ML talent
Experience in establishing AI/ML best practices, standards, and ethics
A proven track record of delivering high-impact AI/ML solutions for real-world problems and use cases
Experience in deploying AI models into production environments
A portfolio of AI/ML publications, patents, or awards
Demonstrated superior written and verbal presentation skills with a wide range of size and types of audiences including executive leadership
Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences

Principal Product Manager-Supply Chain Execution

The Product Manager, Supply Chain Execution within the GP&T ERP team is a key role within GSK supporting our ambitions for a digital supply chain.

The product manager is responsible for working with the business to deliver the roadmap for their product domain, in collaboration with the global product owner.

Key Responsibilities:

Responsible for co-developing and executing product roadmaps for the following products within the supply chain execution domain: direct procurement (SAP MM) – this also includes data management tools.
Product management: Accountable for managing the product backlog and prioritizing all Digital & Tech services within their respective product domain, ensuring continuous feedback from business customers and end users. Partner with other tech groups as required to align and agree plans.
Quality, Risk & Compliance: Accountable for ensuring all products supporting the business are compliant with internal security, risk management policies and practices, external regulatory and statutory requirements.
Service Management: Managing the Level 3 support in the supply chain execution area for related products
Process Improvement: Contributing to ongoing product and business process improvements, embedding agile principles.
Integration: In collaboration with Solution Architecture, ensure that data integrations are efficient, accurate and secure. This also includes building reporting capabilities that support both operational reporting as well as analytic reporting.
People Management: Accountable for the management of agency / third party staff.

Why You!

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

Basic Qualifications:

Degree in Computer Science / IT or equivalent
10 to 14years of overall experience in IT
Extensive hands-on experience of SAP configuration in one or multiple core SAP ECC R/3 modules – ideally including materials management.
Extensive hands-on experience of SAP configuration in one or multiple core SAP ECC S/4 modules – ideally including materials management.
Very good understanding of procurement business processes.
Excellent relationship management, strong influencing, and communication skills at senior level.
Good understanding and experience on Agile Methodology and Product Management
Experience of multiple delivery cycles (agile/waterfall)
Strong communication, interpersonal skills, and the ability to influence leadership and decision-making using data
Collaboration with immediate team and other related cross product areas
Fluent in English (spoken and written)

Preferred qualifications:

Knowledge relating to Advanced Business Application Programming (ABAP) / development of SAP code
Automated Decision Making (ADM)
Data Services
Fiori
Business Rules Framework plus (BRF +)
Application Programme Interface (API) and Cloud Platform Integration (CPI)