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Sanketkumar Patel Email & Phone Number

Manager, Statistical Programming (Oncology) at AbbVie
Location: Greater Philadelphia, United States 5 work roles 2 schools
2 work emails found @abbvie.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

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Work email s****@abbvie.com
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Current company
Role
Manager, Statistical Programming (Oncology)
Location
Greater Philadelphia, United States
Company size

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Sanketkumar Patel is listed as Manager, Statistical Programming (Oncology) at AbbVie, a with 57013 employees, based in Greater Philadelphia, United States. AeroLeads shows a work email signal at abbvie.com and a matched LinkedIn profile for Sanketkumar Patel.

Sanketkumar Patel previously worked as Assoc. Principal Scientist, Biostats and Research Decision Sciences, Stat. Programming - Oncology at Merck and Manager, Statistical Programming (Oncology/Hematology) at Abbvie. Sanketkumar Patel holds Master Of Science - Ms, Pharmaceutics And Biostatistics from Long Island University.

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Email format at AbbVie

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{first}.{last}@abbvie.com
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Profile bio

About Sanketkumar Patel

•Over 13 years of experience in SAS® programming on various projects in Pharmaceutical industry/CRO.• Extensive experience working with Oncology therapeutic area. Worked on multiple oncology studies (Solid tumor, Leukemia Lymphoma , Multiple myeloma , MDS , AML , CLL studies) and other therapeutic areas.- Excellent track record with leading 2 successfull submissions to FDA, PMDA ans CDE.• Experienced with writing ADaM specifications from scratch for Safety and Efficacy domains and creating ADaM datasets as per ADaM I.G v1.2, OCCDS v1.0 and Basic data structure for Time-to-Event Analyses standards.• Worked with large pharmaceutical clients like Pfizer, Amgen, BMS, ONO, Allergan, Enanta etc for DMC , SAF09 , DSMB , CSR , ADHOC , RAPID Response Deliveries and Regulatory submissions.• Proficient in understanding clinical trials study designs, study protocols, statistical analysis plans (SAP), case report form (CRF/eCRF), annotated case report forms, and company standard operating procedures (SOP).• Experienced in preparing electronic submission package (DEFINE.XML, ARM.XML, ADRG, BDRG, XPT files) for FDA/PMDA submissions.• Experienced in using SAS MACROS to generate TLFs and datasets.• Excellent skills in diagnosing and avoiding errors, understanding and enhancing output tofurnish reports.• Strong SAS Programming experience with statistical background in phase I, II, and III of• Experience in handling the clinical trials data, analyzing data, generating tables, listings and extensively involved in developing graphs on SAS9.4 version for the FDA submission.• Worked with different clinical trials data like Demographic, Adverse Event (AE), Serious Adverse Event (SAE), Laboratory-chemistry/Hematology/Urine analysis, Vital signs, TR, TU, and• Expertise in creating complex graphs (forest plots, waterfall plots, KM plots, needle plots, spider plots etc.) for oncology studies using GTL procedures, PROC SGPLOT, PROC GPLOT, PROC GREPLAY etc.• Experienced with creating lab shift tables and adding variables for shift tables in ADLB as per current ADAM standards.

Current workplace

Sanketkumar Patel's current company

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AbbVie
Abbvie
Manager, Statistical Programming (Oncology)
Philadelphia, PA, US
Website
Employees
57013
AeroLeads page
5 roles

Sanketkumar Patel work experience

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Manager, Statistical Programming (Oncology)

Philadelphia, Pa, Us

Assoc. Principal Scientist, Biostats And Research Decision Sciences, Stat. Programming - Oncology

Current

Rahway, New Jersey, Us

May 2024 - Present

Manager, Statistical Programming (Oncology/Hematology)

North Chicago, Illinois, Us

• Leading high visibility oncology studies across various indications.• Created Oncology and Radiology dossiers for the IRC assessments by the third-party vendor.• Re-derived investigator responses using the response criteria and documents provided by the statisticians for IWG2023, IMWG2018, DACOGEN , IMWG2018 criteria. created complex efficacy end points for hematology like CR, PR, PD, MR, VGPR, HI-E Minor, HI-E major, Relapse etc.• Experienced with preparing the Module 2/Module 5 components of eCTD.• Created casebook, patient narratives, trial disclosure files etc.• Experienced with MHRA inspection readiness for oncology studies.• Worked with CDSO, DWA, DSA, DA and provided them with programming support to identify any data issues and data quality check for locking the database in timely manner.• Working closely with different stakeholders in the drug development process like medical directors, regulatory affairs specialists, market access, HEOR, patient experience, CPPM, PK scientists, Statisticians, Medical writers, patient safety etc.• As a study lead and hands-on programmer, worked on creating ADAM specifications from scratch, deriving ADAM datasets for safety and efficacy, creating TFLs and preparing the submission packages using P21E.• Responsible for in-depth review of the SAP, SPP and MOCKS created by statisticians and providing the comments.• Responsible for maintaining the TMF (validation plan, validation report, derived dataset form , external transfer form etc.) and other documentation for the studies I am leading.• Provide Vendor oversight for deliverables and oversee the work and assignments of programming Contractors. • Experienced with forecasting workload and creating timelines.

Jun 2020 - May 2024

Senior Statistical Programmer (Oncology/Solid Tumors)

Dublin, Ie

• With extensive experience in Oncology Therapeutic area, also worked on other therapeutic areas like Cardiovascular, pain, urinary incontinence, NASH studies etc.• More than 2 years of experience working with Pfizer CDARS tool.• Generated different tables, listings and graphs as requested by Statisticians.• Worked in creating Analysis datasets (Safety/Efficacy) and safety/efficacy tables, listing andPlots using macros.• Meet objectives as assigned and interact with the project team to organize timelines,responsibilities and deliverables.• Understand and comply with core operating procedures and working instructions.• QC of Analysis datasets programmed by other programmers by parallel programming.• Extensively Involved in writing specifications for Safety datasets (ADSL , ADAE , ADLB etc.)and Efficacay datasets (ADRS , ADTM , ADTTE , ADEFF) for many oncology studiesaccording to SAP ,CRF, Mock shells and protocol.Progression free survival, Time to Progression, Time to failure, Duration of Complete response and Partial response, Overall survival, time to anti-cancer therapy free survival etc.• Expertised in creating lab shift tables .• Extensively used PROC LIFETEST, PROC PHREG to predict and study the timing of events, efficacy endpoints of clinical trials.• Involved in creating datasets for adverse events clustering as per clustering document provided by client. Also created complex time to event dataset for adverse events.• Assisted in preparing electronic submissions package (Define.XML, Define.PDF, ADRG, XPTfiles) for FDA submissions using Pinnacle21.• Worked as co-lead for several projects and involved in meetings with clients negotiatingtimelines and resolving issues and questions from programmers.• Involved in creating mock-ups as per SAP requirements and writing specifications from scratchbased on SAP, mocks and protocol.and complex graphs/Plots Like swimmer plots, forest plots, waterfall plots, Needle plots, Spiderplots etc

Jun 2012 - Jun 2020

Clinical Sas Analyst (Oncology)

Philadelphia, Pennsylvania, Us

Involved in analysis of Phase II and III clinical trials.Performed QC of derived datasets, TLG’s and coded programs and involved in Data Validation. Extensively worked on Oncology listings, Summary tables, figures and Oncology endpointslike Progression-free survival methods, Time to Progression, Duration of Complete response and Partial response, Overall survival.Extensively used PROC LIFETEST to predict and study the timing of events, efficacy Endpoints of clinical trials.Assisted Bio-statistician in computing different statistics using PROC ANOVA, PROC GLM, and PROC MIXED etc.Prepared analysis datasets for PK/PD analysis for analyzing AUC and Cmax, Tmax.

Jan 2012 - Jun 2012
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Colleagues at AbbVie

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2 education records

Sanketkumar Patel education

Master Of Science - Ms, Pharmaceutics And Biostatistics

Long Island University

Bachelor'S Degree, Pharmaceutical Sciences

Bits Edu Campus: Babaria Institute
FAQ

Frequently asked questions about Sanketkumar Patel

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What company does Sanketkumar Patel work for?

Sanketkumar Patel works for AbbVie.

What is Sanketkumar Patel's role at AbbVie?

Sanketkumar Patel is listed as Manager, Statistical Programming (Oncology) at AbbVie.

What is Sanketkumar Patel's email address?

AeroLeads has found 2 work email signals at @abbvie.com for Sanketkumar Patel at AbbVie.

Where is Sanketkumar Patel based?

Sanketkumar Patel is based in Greater Philadelphia, United States while working with AbbVie.

What companies has Sanketkumar Patel worked for?

Sanketkumar Patel has worked for Abbvie, Merck, Icon Plc, and Pvr Technologies Inc.

Who are Sanketkumar Patel's colleagues at AbbVie?

Sanketkumar Patel's colleagues at AbbVie include Alex Poppen, Libby Martz, Sayali Wable, Patrycja Lata, Cma, and Hila Alon.

How can I contact Sanketkumar Patel?

You can use AeroLeads to view verified contact signals for Sanketkumar Patel at AbbVie, including work email, phone, and LinkedIn data when available.

What schools did Sanketkumar Patel attend?

Sanketkumar Patel holds Master Of Science - Ms, Pharmaceutics And Biostatistics from Long Island University.

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