aadesh shah
Associate Director, Statistical Programming at GSK
ad . statistical programming | ambitious patient | data driven risk taker
seasoned pharmaceutical/cro high-performance & innovative leader demonstrated history excelling leadership , transformation elevation large global statistical/clinical programming organization rapid career progression . core competency include : strategic business planning • process redesign & change management • stakeholder management • data-driven risk taker • training program • cost reduction & avoidance • team building leadership • budget optimization
GSK
https://www.linkedin.com/company/glaxosmithkline
•	Responsible for building capabilities and technical skills within my group to ensure effective delivery of statistical programming services. 
•	Serve as the contact and advocate for statistical programming function in proposing, negotiating and managing deliverables, expertise to enhance business processes.
•	Lead initiatives to improve quality, efficiency & adherence to standards, including cross-functional initiatives across multiple departments
•	Provide state-of-the-art statistical programming knowledge / skills for process improvement initiatives.
•	Build credibility and presence with stakeholders at all levels of support.
•	Key contributor to the development and execution of the global resourcing strategy.
•	Manage multiple levels of statistical programming staff. Including staff located in multiple countries across R&D sites.
•	Drive capability development as it pertains to technology and associated processes.
•	Continually improve ways of working, adopting cutting edge approaches and managing statistical programming needs for evolving and complex clinical study design methodologies.
•	Develop optimal resourcing / out-sourcing strategy for all assets and studies.
•	Ensuring development and review of R&D SOPs and other controlled documents affecting functional operational needs.
•	Recognized for achieving Innovation Performance Trust & Culture Award.
Collegeville, PA
https://media-exp1.licdn.com/dms/image/C4D0BAQG4ovK53tF0Yg/company-logo_100_100/0/1604681074315?e=1655942400&v=beta&t=Ny1mH1twLYK6TWR8RXj52RehG_ytTD_xdZrjU6a3Y8s
Associate Director, Statistical Programming
This white paper details the concepts, best practices and methods for quality control and validation of analysis programming used for clinical trials. The paper describes tools used for validation and QC activities at a very high level. This paper does not cover oversight of outsourced analysis programming, nor the quality control of SDTM datasets. It also does not cover the review of data packages for regulatory submission.
Best Practices for Quality Control & Validation
PHUSE
https://phuse.s3.eu-central-1.amazonaws.com/Deliverables/Standard+Analyses+and+Code+Sharing/Best+Practices+for+Quality+Control+%26+Validation.pdf
How best practices can help you achieve best results, this paper will walk you through briefly on documentation, what to document and how much to document as well as the factors of traceability, validation and accountability. Applicability talks about dependency around clinical programming and how we can secure it manually if no automated checks are available using a Quality Gate process. The last part of this paper talks about Automation, Automated checks can provide the rigidity of double programming with more efficiency, but only if time is invested upfront to develop the tools and processes. It can lower the potential of human error and be applied and executed faster than manual processes.
Documentation, Applicability and Automation How Best Practices Can Help You Achieve Best Results
PHUSE
https://www.lexjansen.com/phuse-us/2020/sp/SP11.pdf
You've probably heard of machine learning and artificial intelligence, but are you sure you know what they are? If you're struggling to make sense of them, you're not alone. There's a lot of buzz that makes it hard to tell what's science and what's science fiction. For many of us, machine learning seems futuristic and scary. Recently, though, it's been showing up, as we hear many new presentations about machine learning at different conferences like Phuse, CDISC Interchange as well as the most famous PharmaSUG. YouTube know which videos you would like to watch in your home section, Facebook recommends local event in your area, also recommends friends, LinkedIn recommends you connect with your ex-boss. And while that's all exciting, some of us are still wondering what exactly machine learning is. This paper will walk you through the process basics, work in practice, Machine Learning vs Artificial Intelligence.
Get to the Meat on Machine Learning
PharmaSUG
https://www.lexjansen.com/pharmasug/2019/SI/PharmaSUG-2019-SI-062.pdf
https://www.linkedin.com/in/marcia-bryan-mba-pmp-6072053
Telford, PA
Marcia Bryan, MBA, PMP
Director Of Operations CPEM & EDL at GSK
https://www.linkedin.com/in/rabia-ahmad-910504162
Collegeville, PA
Rabia Ahmad
Associate Director at GSK
https://uk.linkedin.com/in/deepak-pandarivasagan-5538901b
Greater Cambridge Area
Deepak Pandarivasagan
Statistical Programming Associate Director at AstraZeneca UK
https://www.linkedin.com/in/rich-davies-7b915126
Greater Philadelphia
Rich Davies
Biostatistics Respiratory Disease Area Head at GSK
https://www.linkedin.com/in/amit-jain-034906135
Doylestown, PA
Amit Jain
Programmer Leader at GSK US (Oncology)
https://www.linkedin.com/in/sangeetha-mahalingam-09684238
Greater Philadelphia
sangeetha mahalingam
Statistical Programming, ICON clinical Research
https://www.linkedin.com/in/avinashreddypati
Greater Philadelphia
Avinash Reddy P
Sr Director, Oncology Statistical Programming
https://www.linkedin.com/in/manish-gupta-419a4238
Chester Springs, PA
Manish Gupta
Senior Director, Sterile Drug Product Development, Pharmaceutical Development
https://www.linkedin.com/in/elaine-michel-9680318
Trenton, NJ
Elaine Michel
Manager, Statistical Programming at Covance, Inc.
https://www.linkedin.com/in/kristine-koontz-phd-mba-3731b3b
Exton, PA
Kristine Koontz, PhD, MBA
Head of US Clinical Operations  at GSK
https://www.linkedin.com/in/ryan-tu
Philadelphia, PA
Ryan Tu
Manufacturing Associate at GSK
https://www.linkedin.com/in/keyur-patel-mba-a68b929
Lansdale, PA
Keyur Patel, MBA
Sr.Scientist, Stats Programming at Merck
https://www.linkedin.com/in/chetan-patel-mba-692b2a62
Lansdale, PA
Chetan Patel, MBA
Specialist, Data Integration and Standardization at Accenture
https://www.linkedin.com/in/rikkin-parekh-006731137
Morris Plains, NJ
Rikkin Parekh
Manager, Statistical Programming at Gilead Sciences
https://www.linkedin.com/in/jaimini-shah
New York City Metropolitan Area
Jaimini S.
Director of Clinical Operations  at Schrödinger
https://www.linkedin.com/in/susanward13
Greater Boston
Susan E. Ward
Vice President of Clinical Operations at Mustang Bio
https://www.linkedin.com/in/sara-hughes-b6711214
Collegeville, PA
Sara Hughes
SVP & Head, Biostatistics at GSK
https://www.linkedin.com/in/psarora
San Francisco Bay Area
Puneet S. Arora MD MS FACE
Chief Medical Officer, Lassen Therapeutics
https://www.linkedin.com/in/stina-frazier-83a125a
Paola, KS
Stina Frazier
Manager, Clinical Operations  at PPD
https://www.linkedin.com/in/stephenmatteson
Bristol, NH
Stephen Matteson
Sr. Director of Clinical Data, Analysis and Reporting Standards at Pfizer
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In toxic cultures, people get promoted for results even if they destroy relationships. Abuse is a price to pay for high performance.In healthy…
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Having a wonderful time meeting everyone at #acdm22 Make sure you stop by and say Hello (at Booth 24) and see the exciting work we’re doing in the…
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#labcorpdrugdevelopment #successjourney
https://in.linkedin.com/in/aadesh-shah-b8a9a4181
Mumbai
Aadesh Shah
Associate – Fund Accounting
https://in.linkedin.com/in/aadesh-shah-857442b4
Mumbai
Aadesh Shah
Vice President Sales at Veer Gems
https://in.linkedin.com/in/aadesh-03-shah
Ahmedabad
Aadesh Shah
Software Engineer at Thomson Reuters | Ex - TCS Digital
https://nl.linkedin.com/in/aadesh-shah
Rotterdam
Aadesh Shah
Development Engineer at Viscon Group