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HIRE Biostatisticians
Biostatistician II
Abhishek Shukla is a Statistician and Biostatistics professional with over 8 years of experience supporting clinical trials, epidemiological studies, and academic research. Skilled in statistical programming using SAS, R, and SPSS, he specializes in study design, SAP development, ADaM dataset creation, and QC of statistical outputs for regulatory submissions. Abhishek has led statistical activities across multiple global studies, collaborating closely with cross-functional teams and mentoring junior analysts. With expertise in advanced statistical methods, data visualization, and machine learning, he consistently delivers accurate, reproducible, data-driven insights that support strategic decision-making in clinical research and public health initiatives.
ADaM
G*Power
Microsoft Excel
Power BI
R
RevMan
SAP BO
SAS
SPSS
Biostatistician
Rahul Ranjan is an experienced Biostatistician with over 10 years of expertise in clinical statistics, data analysis, and statistical programming across Phase II–IV clinical trials. Skilled in SAS, R, and SPSS, he specializes in study design, SAP development, randomization schedule creation, and generation/validation of TLFs for regulatory submissions. Rahul has supported vaccine, oncology, and immunology studies and is known for ensuring data accuracy, reproducibility, and alignment with protocol and regulatory standards. With experience mentoring teams and collaborating closely with cross-functional stakeholders, he delivers high-quality statistical outputs that enable data-driven decisions in clinical research.
Microsoft Excel
Minitab
QC / Validation Tools
R
SAS
SDTM Tools
SPSS
Statistical Reporting Tools
Biostatistics Manager
Sumedh Tiwari is a Biostatistics Manager with 9 years of experience in clinical, pharmaceutical, and public health research. He specializes in study design, SAP development, statistical modeling, and CDISC-compliant dataset creation (SDTM/ADaM). Proficient in SAS, SPSS, STATA, and CSPro, Sumedha leads end-to-end statistical planning and analysis for BE/BA and epidemiological studies, including pharmacokinetic evaluations. He has managed large-scale national research projects, developed CRFs and statistical frameworks, and collaborated with cross-functional clinical and research teams to ensure data integrity and regulatory compliance. Known for analytical problem-solving and effective stakeholder communication, He consistently delivers high-quality, reproducible statistical outputs.
ADaM
CDISC (SDTM
CSPro
Excel
SAS
SPSS
STATA
Manager – Biostatistics & Clinical Data Management
Sumit Kandale is a Biostatistics and Clinical Data Management professional with over 9 years of experience in clinical analytics, bioequivalence, and pharmacokinetic studies. He specializes in Statistical Analysis Plan (SAP) development, regulatory-compliant statistical reporting, and leading cross-functional teams across biostatistics and CDM functions. Proficient in SAS, R, and Phoenix WinNonlin, Sumit has deep expertise in CDISC standards (SDTM/ADaM), sample size estimation, randomization, and BE/BA statistical evaluation. Known for driving audit-ready deliverables and process improvement initiatives, he collaborates effectively with sponsors and regulatory agencies while ensuring data quality, integrity, and compliance with FDA, EMA, and ICH guidelines.
Academic software
MS Excel
MS Office
Phoenix WinNonlin
R
SAS
SAS (v9.4)
SDTM/ADaM
Statistical analysis tools
Biostatistician II
Nisha Gupta is a Biostatistician with 7+ years of experience in clinical research and statistical programming across Phase I–III clinical trials, bioequivalence, pharmacokinetics, and in-vitro studies. Skilled in SAP development, randomization, and statistical modeling using SAS and Phoenix WinNonlin, she delivers regulatory-compliant statistical outputs and datasets aligned with CDISC standards (SDTM/ADaM). Nisha collaborates closely with cross-functional teams, leads statistical programming activities, and ensures the accuracy and reliability of analysis results for global clinical studies.
CDISC (SDTM/ADaM)
CDISC Standards
Microsoft Office
MS Office
Phoenix WinNonlin
SAS
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