Business Introduction
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.
Find out more:
Our approach to R&D
Would you like to join a GSK-wide community of data and analytics professionals, who are truly valued and appreciated for their knowledge and skills?
Data and analytics professionals are critical to GSK’s success, performance, and the difference we can make to patients’ lives. The work you do will transform GSK, making sense of our untapped data sources to drive better business choices, make advanced analytics a competitive advantage for GSK and secure better health outcomes for those who depend upon our medicines and innovation.
This role is an exciting opportunity to channel your passion for Innovation in the field of Statistics and Data Science to help shape the future of the Global Clinical Operations function and transform the way in which GSK uses data and quantitative thinking to drive decision-making in R&D.
An ideal candidate for this position is passionate in the application of advanced analytics and data science to address varied business problems. You will need to have a strong grounding in python and have experience of leading value delivery through product development and AI/ML modelling. You will operate in matrix teams on a wide range of projects using agile ways of working collaboratively with other colleagues in Global Clinical Operations and partners from the wider Biostatistics, Data Science and R&D community.
In this role you will:
Provide guidance to stakeholders on problem identification, potential solutions; lead execution of innovative and high-value analytics solutions.
Work with a team of Data Scientists and Analysts to manage efficient execution of the strategy and roadmap, using advanced analytics (descriptive / inquisitive / predictive), including hands-on support of all development activities. Develop team members on methodology and advanced analytics approaches with a focus on fostering high morale and motivation.
Design, develop, and deploy scalable machine learning models and AI-driven solutions for real-world business problems.
Lead the end-to-end machine learning lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, and deployment.
Implement and maintain MLOps pipelines for continuous integration, delivery, monitoring, and retraining of models.
Optimize models for performance, scalability, and efficiency in production environments.
Deliver Be-spoke Analytics solutions for trials in Planning, feasibility and operations
Lead, mentor and guide team of Data scientists, data analysts
Stay current with the latest AI/ML research, AI/GenAI, tools, and best practices; evaluate and implement new technologies as appropriate.
Document processes, models, and code to ensure reproducibility and knowledge sharing.
Ensure compliance with data privacy, security, and ethical standards in all AI/ML initiatives.
Required qualifications and Experience
We are looking for professionals with these required skills to achieve our goals:
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Overall 12+ experience, 10+ years of hands-on experience in machine learning, deep learning, or AI engineering roles.
Demonstrate effective oral and written communication, able to deliver convincing, clear presentations to all levels of stakeholders.
Experience applying data science to clinical trials operations (study enrolment acceleration, trial site selection, country profiling, recruitment curve prediction etc), patient identification or medical domain a plus/preferred.
Experience with data analytics using Real-World Data (RWD) a plus.
Demonstrated curiosity and passion about creative problem solving and data innovation, demonstrated accountability in driving project, demonstrated autonomy in leading stakeholder discussions and delivery.
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with cloud platforms (AWS, GCP, Azure [Preferred]) and deploying ML models in production.
Strong software engineering skills, including version control (Git), containerization (Docker), and CI/CD pipelines.
Solid understanding of data structures, algorithms, and system design.
Experience with data preprocessing, feature engineering, and model evaluation.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a collaborative team.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose 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. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Inclusion at GSK:
As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.
Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
It has come to our attention that the names of GlaxoSmithKline or GSK or our group companies are being used in connection with bogus job advertisements or through unsolicited emails asking candidates to make some payments for recruitment opportunities and interview. Please be advised that such advertisements and emails are not connected with the GlaxoSmithKline group in any way.
GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable.
If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing askus@gsk.com, so that we can confirm to you if the job is genuine.