Job Description
Job Description
:Experience required: 10 years
• Develop complex tools and frameworks using SAS software within Life Science Analytical Framework (LSAF)
• Work independently on SAS programs to support our services: developing, reviewing and testing programs to deliver clinical study reviews and QC
• Defines and develops maintenance or enhancements in multiple areas of domain expertise.
• Provide programming training, presentations and support to colleagues
• Participates in process, system, and tool improvement initiatives.
• Participates in non-trials / non-program projects to gather information or provide guidance in multiple domain expertise areas.
• Support audit and inspections as appropriate.
• The services will be performed within the framework of GXP guidelines like system validation
• Point of technical escalation across all stages of the solution lifecycle to optimize value for assigned value stream(s)
• Move code through environments and into production (e.g., Release Process)
• Minimum Bachelor’s degree in Computer Science, Engineering, or related field
• 10 years of relevant experience required
• Experience in programming in SAS Life Science Analytical Framework (LSAF) required
• Proven experience with SAS software and SAS programming in a clinical study environment
• Proven experience in developing systems and system frameworks in SAS
• Basic knowledge of SDTM & ADAM standards required
• Knowledge of SAS Viya a plus
• Knowledge and/or experience with Pharma R&D, and clinical studies in particular is required
• Good understanding and experience with systems development processes
• Strong problem-solving skills with ability to accurately analyze situations and reach productive decisions based on informed judgment
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
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