Clinical Programmer - SAS

Contribute to design, develop and implement High complex projects or initiatives that are part of clinical programming roadmap
Provide technical expertise, cross training and support as required to ensure the availability and performance of developed reports and dashboards for end users
Contribute to defining and building vital processes and tools to perform clinical programming activities for both global and study level analytical solutions
Contributes to development of best practices that enhances quality, efficiency, timelines and effectiveness within the function
Access as an SME for CP tasks and Processes ,identifies and communicates risk within assigned studies and/or projects
Collaborates with various teams including data management, development operations, clinical, biometrics and other relevant cross functional teams supporting clinical trials to deliver end user reporting needs

Ensures high quality is built into own deliverables and quality delivered by other programmers
BachelorS/Master degree or equivalent in computer science, life science or statistics
Accomplished programming skills in SAS/Python/SQL/R.
Experience in producing analytical dashboards with Power BI, Spotfire or other Business Intelligence tools.
Thorough knowledge of Data Collection and industry standards
Technical expertise with data capture, data models, data mining. Excellent analytical and critical thinking skills, writing, communication skills, and ability to work within a cross functional team
Prior Experience in understanding of EDC systems like Medidata Rave or Veeva etcSenior Clinical Programmer is primarily responsible for activities related to programming, dashboard development and validation of data cleaning and review listings and complex programs for ongoing clinical studies. This position requires high technical skills and adequate industry knowledge to independently perform programming tasks while using judgement about seeking guidance in complex situations and also contribute to cross-functional initiatives with high complexity.Programming Python/SAS/SQL
Data Visualization and Analytics skills MicroStrategy / POWERBI or other BI tools
Tools(Desirable) Exposure towards Saama/ SAS LSAF
Domain (Desirable) High understanding of Clinical Trail Life Cycle and Data Management including TPV exposure
Others Exposure towards Project and Stakeholder Management