Explore customized training options based on your enterprise’s needs. Choose from focused expertise or a complete end-to-end solution.
For teams focused on clinical data analysis.
Enhance Data Analysis Skills
Standardize clinical trial data using CDISC SDTM data standards for regulatory submission.
Streamline data transformation for statistical analysis using CDISC ADaM data standards
Perform statistical analysis and generate Tables, Listings, and Figures for clinical study report preparation.
Equip your team with End-to-End clinical trial data standardisation, statistical analysis and reporting.
For teams advancing clinical trial designs.
Lead Clinical Innovation
Develop innovative implementation strategy for preparing regulatory complaint case report tabulations a cording to CDISC SDTM and ADaM data standards.
Develop automated workflow for data transformation, analysis and reporting of clinical trials
Develop and validate data extraction and analytics algorithms for product innovations.
Keep your team abreast with new and changing technologies like AI/ML tools and novel study designs and statistical methodologies
For teams ensuring regulatory compliance.
Boost Compliance Proficiency
Organize regulatory submission data packages in compliance with ICH guidelines.
Ensure all reports meet regulatory standards and audits.
Manage clinical trial data workflow from collection to final reporting in accordance to regulatory standards
Remove " Research and Development" section
For teams focused on clinical data analysis.
SStandardize clinical trial data using CDISC SDTM data standards for regulatory submission.
Streamline data transformation for statistical analysis using CDISC ADaM data standards
Perform statistical analysis and generate Tables, Listings, and Figures for clinical study report preparation.
Equip your team with End-to-End clinical trial data standardisation, statistical analysis and reporting.
Teams primarily engaged in data analysis, looking to deepen their expertise in statistical programming for clinical trials.
Develop innovative implementation strategy for preparing regulatory complaint case report tabulations a cording to CDISC SDTM and ADaM data standards.
Develop automated workflow for data transformation, analysis and reporting of clinical trials
Develop and validate data extraction and analytics algorithms for product innovations
Keep your team abreast with new and changing technologies like AI/ML tools and novel study designs and statistical methodologies
Teams primarily engaged in data analysis, looking to deepen their expertise in statistical programming for clinical trials.
Organize regulatory submission data packages in compliance with ICH guidelines.
Ensure all reports meet regulatory standards and audits.
Manage clinical trial data workflow from collection to final reporting in accordance to regulatory standards
20+ Global Experts
Real-World Projects Integration
Access Exclusive Data Sets
Publish and Innovate
100+ Enterprises Engaged
Worldwide Academic Partnerships
20+ Global Experts
Real-World Projects Integration
Access Exclusive Data Sets
Publish and Innovate
100+ Enterprises Engaged
Worldwide Academic Partnerships
Our mentors are industry veterans passionate about sharing their knowledge and
experience.
They're here to guide you every step of the way, from your first lesson to your first job offer.
President & CEO
Ready Clinical LLC, USA
Data Architect and
Data Migration specialist
Vice President
Syneos Health, USA
Program Director
M.Sc. M.Tech.
Entrepreneur
New York City, USA
Tailor your team’s learning journey by choosing a specialized course in a key area or opt for the comprehensive End-to-End program. Whether your team needs to master one skill or gain a complete understanding of clinical data processes, STAT analytics offers flexible solutions to meet your needs.
Your team can focus on one of the following critical areas based on your enterprise’s immediate needs:
Master the Study Data Tabulation Model (SDTM) to standardize clinical trial data for regulatory submissions, ensuring compliance with global standards.
Focus on the Analysis Data Model (ADaM) to streamline data analysis and reporting, ensuring consistency and accuracy in clinical trials.
Specialize in Tables, Listings, and Figures (TLF) to generate compliant and comprehensive reports for clinical trials, ensuring clarity and compliance in data presentation.
Build a strong foundation in biostatistics to enhance clinical trial analysis and reporting, contributing to robust, data-driven decisions.
Empower your team with leadership skills specific to clinical research and data management, fostering a collaborative and efficient work environment.
For enterprises seeking comprehensive training, our End-to-End Program equips your team with in-depth expertise across SDTM, ADaM, TLF, Biostatistics, and Leadership. This holistic program ensures proficiency in every stage of clinical trial data management and reporting, from initial data collection to regulatory submission.
Equip Your Team with Full-Spectrum Expertise:
Select and combine modules to see how our flexible training adapts to your needs
Explore common inquiries to ensure you’re fully informed about
empowering your team.
Biostatistics: Teach It, Apply It, Lead It.
STAT analytics
Floor1, Thukkamattathil Towers
Arakkunnam PO, Ernakulam
Dr Michael Willett Pharm.D
President & CEO, Ready Clinical, LLC, USA
Dr. Willett has more than 30 years of clinical research experience and provides consulting services for clinical protocol design, clinical data interpretation, PK/PD, efficacy and safety analyses, regulatory affairs and medical writing. He has extensive clinical trials experience in Phase I‑IV clinical trials in a wide range of therapeutic areas.
Dr. Willett started his career as a clinical pharmacist in a progressive hospital providing critical care, cardiology, infectious disease, nutritional team support and therapeutic drug monitoring. He transitioned into the biopharmaceutical industry and was involved in all phases of clinical research and multiple product launches at Marion Laboratories and Bristol-Myers Squibb.
Dr. Willett received his Bachelor and Doctor of Pharmacy degrees with Honors from University of Illinois and completed an adult internal medicine residency at Truman Medical Center in Kansas City.
Shaileshkumar Patel, B.Tech.
Data Architect and Data Migration specialist
Shaileshkumar Patel is a seasoned Data Architect and Data Migration specialist with over 19 years of extensive experience in Oracle Database development and administration. He has specialized expertise in the pharmaceutical and IT sectors, notably within clinical-related applications in Good Clinical Practice (GCP) regulated environments and ITIL Configuration Management Database Systems (CMDB). His technical proficiency spans multiple versions of Oracle databases (8i to 12c), and he is adept in SQL, PL/SQL, database performance tuning, backup, recovery, and database migration.
Mr. Patel’s professional experience includes significant roles at Novo Nordisk IT (NNIT), where he served as a Senior Data Architect and Data Analytics Engineer for clients like Genmab. His responsibilities encompassed designing data models, managing research data analytics platforms using AWS tools, and overseeing validation and quality assurance processes.
Shaileshkumar is known for his excellent teamwork and communication skills, which he leverages to provide clear, practical guidance to aspiring data science professionals.
Dr. Russell Reeve, PhD
Vice President, Biostatistics and Statistical Programming Syneos Health, USA
Dr. Russell Reeve is a seasoned expert in Biostatistics and statistical programming with over 30 years of experience in the pharmaceutical industry and academia. Currently, he serves as the Vice President of Biostatistics and Statistical Programming at Syneos Health, supporting full-service studies globally. He drives innovation and use of AI/ML within Biostatistics function. Prior to this role, Dr. Reeve served as Vice President of Biostatistics and Decision Sciences at IQVIA, where he led a global team across multiple regions, including North America, Europe, and Asia. Dr. Reeve has a proven track record in transforming business units, as evidenced by his successful turnaround of a previously loss-making P&L into a profitable center, achieving an 18% CAGR in revenue for the Decision Sciences group.
He holds a Ph.D. in Statistics from Virginia Polytechnic Institute and State University and has extensive experience in clinical trial design, machine learning applications, and regulatory submissions. Dr. Reeve has led multiple software development projects, introducing innovative solutions such as SaaS products and machine learning tools to enhance clinical trial efficiency.
Anil Kumar M.Sc. M.Tech.
Program Director
Anil Kumar is a distinguished authority in Biostatistics and Statistical programming, boasting over three decades of unparalleled expertise in drug development across the globe. With an M.Sc degree in Statistics from MG University, Kottayam and M.Tech degrees in Quality, Reliability and Operations Research from India Statistical Institute, Kolkata, Anil has solidified his reputation as a thought leader in the field of Biostatistics and Statistical Programming.
Having navigated the corridors of global Contract Research Organizations (CROs) and pharmaceutical giants, both in India and abroad, Anil brings a unique perspective shaped by diverse cultural landscapes and industry nuances. His extensive tenure in these renowned establishments has not only enriched his professional acumen but also solidified his commitment to excellence in clinical research.
Beyond his illustrious career trajectory, Anil has served as a beacon of knowledge, spearheading numerous training programs in Biostatistics and Statistical Programming. Participants can expect to be guided by his wealth of experience, gaining invaluable insights, practical skills, and industry best practices honed through decades of global engagement.
Embark on a transformative journey with Anil Kumar in our training program, where expertise meets diversity, and knowledge transcends borders to fuel groundbreaking advancements in clinical research worldwide.
