Glaxo SmithKline Careers | Expert Statistical Analyst | Hyderabad

Job Info:

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. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years.

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.

Basic qualifications:

• Bachelors Degree in Engineering, Biotechnology, Computer Applications or related disciplines.
• More than 5 years experience in SAS programming (including SQL and SAS macro language)
• Recognized expertise in SAS programming and SAS macro code development.
• Effective written and verbal communication skills
• Excellent influencing skills, which are applied effectively at all levels of an organization and across multiple functions
• Strong time management skills; able to effectively organise and manage a variety of tasks across different projects

Preferred qualifications:

• Good understanding of other SAS modules (e.g. SAS/GRAPH, SAS Output Delivery System)
• Knowledge of non-SAS programming packages/languages (e.g. Spotfire, S-Plus, R)
• A solid level of understanding of clinical trials, pharmaceutical regulatory and publishing processes (e.g. 21 CFR Part 11)
• Demonstrated knowledge of and experience in the application of CDISC data standards, primarily the creation and use of ADaM datasets.
• Ability to manage conflicting demands and priorities.
• Demonstrated ability to manage the outsourcing or externalization of statistical programming work in the clinical trials setting (e.g., working with CROs, academic institutions)
• Ability to develop creative solutions to applied problems.
• Ability to learn and apply advanced programming skills independently

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