Pavani Dayanidhi
Statistical Programmer @Panakeia Clinical Services
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WORK HISTORY
Statistical Programmer @Panakeia Clinical Services
Hyderabad, IN
Assist in developing and maintaining analysis datasets, tables, listings, and figures (TLFs) for clinical trials using SAS or other statistical programming tools. Support senior programmers and statisticians in implementing statistical analysis plans (SAPs) and study specifications. Perform data checks and validation activities to ensure accuracy and consistency of clinical trial datasets. Help in the creation and maintenance of SDTM and ADaM datasets under guidance from senior team members. Conduct program validation and quality control checks to verify outputs generated for clinical study reports. Collaborate with cross-functional teams including statisticians, data managers, and programmers to address data-related queries. Assist in preparing datasets and outputs required for clinical study reporting and regulatory submissions. Follow standard operating procedures (SOPs), CDISC standards, and regulatory guidelines while performing programming tasks. Maintain proper documentation of programming activities, specifications, and validation steps. Continuously learn and develop skills in statistical programming, clinical data standards, and regulatory requirements.
EDUCATION
JNTU Gurajada Vizianagaram
Bachelor of Pharmacy , Pharmaceutical Sciences
St. Joseph's College for Women (Autonomous), Visakhapatnam
Intermediate (Bi.P.C), Biology/Biological Sciences, General
Shree Hara gopal school
SSC, SSC
ABOUT PAVANI DAYANIDHI
I am a passionate and dedicated Bachelor of Pharmacy graduate with a strong foundation in pharmaceutical sciences and healthcare practices. Throughout my academic journey, I have developed comprehensive knowledge in pharmacology, drug development, therapeutic uses, and patient care management.I am a dedicated professional with a solid foundation in Clinical SAS programming, specializing in data management, statistical analysis, and clinical trial reporting. Through my studies in the Clinical SAS program, I have gained hands-on experience in programming for clinical research, as well as proficiency in using SAS software to analyze clinical data and generate reports that support decision-making in clinical trials.
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