Real World Programming - RU Head

Key Responsibilities:

• Accountable for planning and executing statistical programming and quality control (QC) of all studies and real-world data insights as relevant.
• Full accountability for programming of simple to moderately complex studies.
• Maintain a 'first time right' mindset to ensure high-quality deliverables.
• Accountable for the accuracy and reliability of programming outputs.
• Implement and uphold quality assurance processes to maintain high standards.
• Create specification documents for programming.
• Drive stakeholder engagement
• Lead, mentor and manage the performance of Real-World Programming team to achieve the best results out of them by identifying training and development needs, constructive feedback, motivating them and giving them a fair opportunity to grow, rewarding and recognizing.
• Act as a programming Lead for one the disease area and work hands on the projects
• Strategize and drive stakeholder engagement by identifying needs, collaborating, communicating expectations and timelines, suggesting solutions, and ensuring alignment with business objectives, while creating and propagating engagement processes for the team.
• Develop and implement resourcing strategies, review efforts and demand data to identify inefficiencies, conduct resource forecasting, and ensure optimal allocation of programming resources aligned with business priorities.
• Collaborate with cross-functional teams to design and execute programming strategy for the real-world evidence studies.
• Inspires and motivates the entire team around the vision of GSK, Biostatistics and RWDMA and bringing out the best from people
• Sets team vision and objectives for long-term goals for the team based on the business needs and the talents of employees
• Encourages the team for "out of the box thinking" and develop an open culture where team members can share their ideas about "what else can be done"
• Stay updated with the latest developments in statistical programming, real-world evidence, and relevant regulatory guidelines.
• Build a recruitment strategy to attract and hire exceptional talent, retain outstanding people; embed new people processes
• Ensure the team members take accountability of their work by owning the work and driving through performance and communication
• Plan and implement trainings for any new identified technology
• Ensures that the team members have the resources available to adapt to changes quickly without effecting the deliverables
• Act as change agent and make team understand the rationale behind any changes be it timeline, technology or organizational structure
• Foster a culture of ownership and accountability within the team.

Education Requirements:

Advanced degree (master's or Ph.D.) in Life Sciences, Epidemiology, Biostatistics, Public Health, Computer Sciences, Mathematics, Statistics or a related field with applicable experience.

Job Related Experience:

• Proven track record of leading and managing high-performing teams for real-world evidence projects.
• Experience working with RWD for use in pharmacoepidemiology research with good practical knowledge in biostatistics applied to clinical/epidemiological research.
• Expertise in some of the most commonly used Real World Databases within Real World landscape
• Expertise in R with proficiency in other programming languages such as SQL, or Python.
• Passionate about working hands-on with data, and proficient in manipulating large, complex datasets and preparing supporting documentation for quality control (QC)
• Experience of working in global matrix environment and managing stakeholders effectively
• Experience of using technologies (AI/ML, NLP, Deep learning models etc) to bring efficiency as well as in simplifying processes
• Growth mindset and a commitment to continuous learning and development.
• Excellent leadership, communication, and interpersonal skills.
• Excellent problem-solving, communication, and interpersonal skills.
• Innovative mindset and willingness to challenge status quo, solution-oriented mindset
• Familiarity with commonly used statistical and epidemiological concepts
• Fluent in written and spoken English to effectively communicate and able to articulate complex concepts to diverse audiences

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.