Our specialists’ previous employers

HIRE Biostatisticians

Abhishek Shukla

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

Rahul Rajan

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

Sumedh Tiwari

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

Sumit Kandale

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

Nisha Gupta

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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