Parul Anand

About Parul Anand

Sixteen years of Pharma industry experience with in-depth knowledge of clinical trial data processing and manipulation including eight years in statistical programming and analysis. Build productive work relationships and effectively communicates with clients, 3rd party vendors, cross-functional and global teams. Advanced SAS Programming skills including SAS/Base, SAS/Macro, SAS/STAT, SAS/SQL and SAS/GRAPH, validation/QC. Solid understanding of Data Management processes such as DTAs, DVP, CCG, eTMF, Edit Check creation and Testing, Vendor Management, EDC screens build in RAVE, Annotated CRF etc.Therapeutic areas – Infectious Disease | Endocrine/Metabolic | Odontology | Respiratory | Oncology | Rare Disease | GastroenterologySpecialties: • Collaborating closely with cross-functional teams (Clinical Operations, Data Management, Project Management) to drive project timelines and meet statistical data analysis and reporting milestones.• Planning and Budgeting hours of programming and resource allocation.• Play a pivotal role in balancing conflicting priorities and providing actionable support to team members, ensuring effective communication and alignment with the company\'s strategic objectives.• Actively participated in the strategy for process improvement, creating SOPs and WIs to enhance efficiency and data quality across projects.• Provide mentorship and training to junior team members, fostering skill development and technical proficiency.• Contribute to performance evaluations of project team members, offering insights into individual contributions and growth areas.• Program and Qc several SDTM datasets such as DM, XM, AE, CM, VS, LB, RS, TU, TR, SE, SV etc. including Trial Design Domains – TA, TE, TI, TS, TV.• Program and Qc several ADaM datasets such as ADSL, ADAE, ADCM, ADMH, ADEX, ADLB, ADMAYO, ADTTE etc.• Creating and reviewing Define.xml package and Pinnacle 21 report for regulatory submission.• Create SAS Macros to increase productivity and help standardize the programming.• Develop and validate specifications and programs to generate tables, listings, and figures based on CDISC standards and study-specific requirements.• Spearheaded the creation and review of annotated Case Report Forms (CRF) and mapping them to SDTM datasets, ensuring data accuracy and alignment with regulatory standards.Open To: Senior Statistical Programmer | Principal Statistical Programmer | Manager Statistical Programming | Clinical Data Management/Programming Roles

Experience

1. Sr Statistical Programmer

   Rho

   Oct 2025 — Present · US

Education

• CCS (Chaudhary Charan Singh)University

  Bachelor of Commerce - BCom

• IIMT Group of Colleges

  Master of Computer Applications (MCA), Computer/Information Technology Administration and Management

  2002 — 2005

Skills

• Databases
• Software Documentation
• Edc
• Sas Base
• Protocol
• Pharmacovigilance
• Sas
• Pharmaceutics
• Inform
• Electronic Data Capture (Edc)
• Fda
• Good Clinical Practice (Gcp)
• Regulatory Affairs
• Validation
• Clinical Trials
• Regulatory Submissions
• Gcp
• Clinical Data Management
• Data Management
• Pl/Sql