Shafi Consultancy
Shafi Chowdhury

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Shafi Chowdhury

Managing Director

Shafi Chowdhury holds MSc. in Statistics and has been programming in SAS since 1993. He has worked for CROs and Pharmaceutical companies across Europe before turning to SAS consultancy. He founded Shafi Consultancy Limited in 2001, and in 2006 he opened the office in Bangladesh.

33+ Years

in the Pharma Industry. Working with top pharma and CROs across international markets.

2001 Founded

Shafi Consultancy to deliver quality-driven clinical programming solutions.

Knowledge & Thought Leadership

Sharing expertise through international conferences and publications.

Programming & Automation

Developing smarter, metadata-driven approaches to clinical trial reporting.

Over the many years of experience he has seen the same tasks being done in many different ways. This has allowed him to form his opinion on the best approaches and the most efficient process for different tasks in different circumstances. His success over the many years of consultancy means that his opinion is trusted, has credibility and brings results to his clients.

Shafi is a regular presenter at the PSI and PhUSE conferences, believing that it is best when we share our experience and be humble enough to know that we are never too old to learn. He is a member of the PhUSE Transparency working group, PhUSE Good Programming Practice working group, and is the co-chair of the Analytical Risk-Based Monitoring stream of the PhUSE EU Connect conference.

Presenter at PSI and PhUSEPhUSE Transparency working groupPhUSE Good Programming Practice working groupCo-chair, Analytical Risk-Based Monitoring stream, PhUSE EU Connect

Professional summary

A friendly, engaging team player who inspires teams to perform at their best and resolves issues. Detail oriented and a very experienced programmer, always looking deeper into the data and maximising efficiency and quality by finding the right solution for each problem. A multi-tasker with a track record of delivering projects on time, with solutions that continue to save clients time and resource on future projects.

Many different therapeutic areasCDISC and legacy dataComplex macro developmentCalm and reassuring under pressureReviewing and improving client processesBuilding efficient global teams

Career highlights

Apr 2001 – Present

Principal Statistical Programmer / Managing Director

Shafi Consultancy, UK

Mar 2025 – Present

Head of Services, Europe

Ephicacy

Sep 2019 – Dec 2023

Consultant

AstraZeneca, UK

Apr 2001 – Jun 2015

Consultant

Boehringer Ingelheim, UK and Germany

Feb 2000 – Mar 2001

Senior Data Analyst

GlaxoWellcome, UK

Sep 1995 – Feb 2000

Senior Statistical Programmer

Quintiles, UK

Jul 1995 – Sep 1995

SAS Programmer

Glaxo, UK

Jul 1993 – Aug 1994

Trainee SAS Programmer (placement)

Glaxo, UK

Education

M.Sc. Applied StatisticsSheffield Hallam University, UK, 1997 – 2000
BSc (Hons) MathematicsDe Montfort University, UK, 1991 – 1995

Conference presentations

PhUSE conference

  • Will AI give me wings (2026)
  • Traceability confirmation at your fingertips (2023)
  • Streamlining the usage of SAS, R, Python into our process workflow (2022)
  • How can we integrate new technology and maintain data integrity? (2022)
  • Automation and Central Repository, Are we achieving our aim? (2021)
  • Using data visualisation to communicate the story of the trial results (2018)
  • Generating tables, listings and figures without any programs (2018)
  • Making the leap from Excel to a Database used for Reporting (2016)
  • Using Meta Data to drive standards, speed, consistency and quality in reporting (2016)
  • The rocky road to Data Transparency (2015)
  • Risk-Based Monitoring - Why Does it Matter to Programmers? (2013)
  • Managing Data Issues Identified During Programming (2011)
  • Generate ATTRIB and FORMAT Statements from the SAP (2010)

PSI conference

  • Fraudulent data detection in clinical trial using dynamic clustering (2018)

PAGE meeting

  • Using ‘Big’ NONMEM Dataset Generated from Standard SDTM to Review Data and Accelerate Model Building Process (2017)

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