Data Management Programmer (SAS)

Job title: Data Management Programmer

• Location: IN / Hyderabad
• Grade: L1-2

About the job 
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Join our Hyderabad Hub, build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As Data Management Programmer within our Hyderabad Hub, you’ll be responsible for developing program for data validation, data review and protocol deviation deliverables for assigned projects, providing timely support to Study Team(s) on data management programming or data visualization analytics according to project data cleaning strategies through project milestones from study start-up to database lock.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
Main responsibilities:
• Developing listings, summary tables, figures and/or advanced analytics for data validation, data review, medical review, AE dedicated review and SAE reconciliation
• Distributing and/or deploying data review and data validation solutions which are checking all collected data including external data (i.e., cross-panel checks and internal/external data reconciliation)
• Developing automatic protocol deviations identification solutions
• Liaising with standard Data Reporting Analyst (DRA) to continuously maintain and optimize the existing standard reporting tools, programs and report library. 
• Developing efficient Power BI, Spotfire, R/Shiny & SAS standard packages facilitating the programming of study solutions
• Managing the technical writing at CTT level (i.e., user guides, detailed specifications, best practices, programming conventions, etc.)
• Analysing new requirements from customer and propose technical solution strategies.
About you 
• Experience: Experience, or have other equivalent programming language experience such as R/R shiny, Python, or have equivalent data visualization tools experience such as Spotfire, Power BI, Tableau
• In addition, clinical trial experience, clinical data management experience and pharmaceutical industry experience are preferred.
• Soft and technical skills: Project management skill
• Collaboration and communication skill. Independent thinking and delivery of accurate outcomes
• Meeting management skill such as organize meeting and discussion. Intercultural skills with ability to work effectively in a multi-cultural context.
• Expertise in programming language such as SAS, R, Python. Expertise in database structure and data flow
• Knowledge of industry standards and practices (e.g. CDISC especially CDASH and SDTM)
• Knowledge of data visualization tools such as Spotfire, Power BI, Tableau. Knowledge of current regulatory guidelines, and GCP practices regarding Data Management 
• Education: Bachelor or Master of Science degree or above, preferably in a life science or mathematics-related area (e.g., Pharmaceutical, medical, or mathematics, computer science or similar technical fields).
• Languages: Strong English skills (verbal and written), ability to exchange fluently in a global environment.

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!