|Position||Manager/Sr. Manager - SAS|
|Reporting To||Business Head|
|Years Of Experience||7-10 years|
|Annual/CTC||Rs. 10 - 15 lacs pa|
Our client, head-quartered in New York USA, helps Life Science Companies bridge the gap between R&D and commercial success by making strategic decisions that create value.
The company provides comprehensive, integrated solutions based on our deep understanding of the science, the market, and the key business decisions that our clients face. They deploy agile, cross-functional project teams that are responsive to client needs
To work with a multi-disciplinary team with responsibility of analysing real world patient level data (healthcare claims data, electronic medical record data and other APLD) using SAS or other data processing tools.
•Develop, implement and manage holistic strategies for APLD data analysis (analysis plan, business rules, SAS coding, documentation, approval, monitoring and reporting), in collaboration with Life Sciences domain experts and other analysts.
•Determine how data is structured and locate data elements of interest.
•Put together specifications to extract/transform data into required formats for different analytical elements using SAS or other data processing tools.
•Analyse the output to present insights.
•Incorporate operational definitions and conceptual system designs to create algorithms to meet business reporting and analytics needs.
•Create the foundation for more sophisticated approaches to APLD analysis and advanced analytics where beneficial.
•7+ years hands-on experience in SAS programming (Base / Advanced) with SAS Macro capabilities
•Real time project experience with handling large volume of Clinical/EMR/Claim database
•Demonstrated competence with basic Microsoft Office tools (Excel, PowerPoint, Word)
•Experience of working with cross functional teams
Skills and Expertise:
•Good communication and interpersonal skills
•Conceptual, analytical & tactical thinking, strategic thought process
•Ability to multi-task, work in a demanding global team environment, work under tight deadlines
•Develop and maintain strong individual and team performance
•Good knowledge of life sciences domain
- / Current Openings