

Principal Statistician
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Statistician - Real World Analytics, offering a remote contract position. It requires a PhD or MS in Biostatistics, 4+ years in the pharmaceutical industry, and expertise in SAS, R, SDTM/ADaM standards, and advanced statistical methods.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 27, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#AI (Artificial Intelligence) #Consulting #Programming #"ETL (Extract #Transform #Load)" #Datasets #SAS #Security #Statistics #Cybersecurity #Cloud #ADaM (Analysis Data Model) #ML (Machine Learning) #R
Role description
About US:
At Cogent Infotech, we believe in creating opportunities that empower individuals and transform organizations. With over 21 years of excellence in consulting and talent solutions, we pride ourselves on building inclusive workplaces and driving innovation in everything we do. Our diverse teams bring unique perspectives to help deliver cutting-edge solutions to global clients across both public and private sectors.
Title: Principal Statistician - Real World Analytics
Location: 100% Remote
Schedule: Monday- Friday (8am-5pm)
Summary:
We are seeking a Principal Statistician β Real World Analytics to lead statistical planning, analysis, and interpretation for Phase-4, Medical Affairs, and Real-World Evidence (RWE) studies. The ideal candidate will provide expert statistical input in study design, author and review analysis plans, and collaborate with cross-functional teams to ensure robust data collection, validation, and reporting. This role involves leveraging advanced statistical methods, including mixed-effects models, causal inference, and machine learning, to generate actionable insights from real-world data (RWD). The position requires deep experience with SAS, R, SDTM/ADaM standards, and translating complex analyses into high-quality abstracts, posters, and manuscripts to support Medical Affairs and HEOR objectives.
Key Responsibilities
β’ Provide statistical support in protocol development for observational studies and/or clinical trials.
β’ Author and review of statistical analysis plans, analysis dataset specifications, and TFL shells.
β’ Work with programming and other cross-functional teams in Phase-4 non-interventional study to develop CRF, validate and review the datasets and results.
β’ Conduct programming and analysis for Medical Affairs, RWE studies.
β’ Support develop abstract, poster and manuscript as deliverables.
Required Qualifications and Skills:
β’ Education: PhD or MS in Biostatistics or Statistics
β’ Experience in pharmaceutical industry to provide statistical input into the study design, statistical analysis, and reporting of interventional and observational studies.
β’ Min 4 yrs experience with Phase-4 study, Medical Affairs study, Real World Evience (RWE) or HEOR study.
β’ Min 4 yrs experience in statistical software, SAS and R.
β’ Min 4 yrs experience with SDTM and ADaM data standards.
β’ Min 4 yrs experience with Real World Data (RWD) and RWE methodologies, such as propensity score analysis, causal inference.
β’ Min 4 yrs experience with advanced statistical models such as mixed effect model approaches for repeated measures, Machine Learning (ML) methods.
β’ Cogent Infotech is a leading tech consulting firm headquartered in Pittsburgh, PA, offering cutting-edge digital transformation solutions in Cloud, Cybersecurity, Data Analytics and AI. ISO-certified and CMMI Level 3 appraised, we proudly partner with 70+ Fortune 500 companies and 150+ government agencies. Cogent is an equal opportunity employer and does not discriminate based on any protected status under applicable law
About US:
At Cogent Infotech, we believe in creating opportunities that empower individuals and transform organizations. With over 21 years of excellence in consulting and talent solutions, we pride ourselves on building inclusive workplaces and driving innovation in everything we do. Our diverse teams bring unique perspectives to help deliver cutting-edge solutions to global clients across both public and private sectors.
Title: Principal Statistician - Real World Analytics
Location: 100% Remote
Schedule: Monday- Friday (8am-5pm)
Summary:
We are seeking a Principal Statistician β Real World Analytics to lead statistical planning, analysis, and interpretation for Phase-4, Medical Affairs, and Real-World Evidence (RWE) studies. The ideal candidate will provide expert statistical input in study design, author and review analysis plans, and collaborate with cross-functional teams to ensure robust data collection, validation, and reporting. This role involves leveraging advanced statistical methods, including mixed-effects models, causal inference, and machine learning, to generate actionable insights from real-world data (RWD). The position requires deep experience with SAS, R, SDTM/ADaM standards, and translating complex analyses into high-quality abstracts, posters, and manuscripts to support Medical Affairs and HEOR objectives.
Key Responsibilities
β’ Provide statistical support in protocol development for observational studies and/or clinical trials.
β’ Author and review of statistical analysis plans, analysis dataset specifications, and TFL shells.
β’ Work with programming and other cross-functional teams in Phase-4 non-interventional study to develop CRF, validate and review the datasets and results.
β’ Conduct programming and analysis for Medical Affairs, RWE studies.
β’ Support develop abstract, poster and manuscript as deliverables.
Required Qualifications and Skills:
β’ Education: PhD or MS in Biostatistics or Statistics
β’ Experience in pharmaceutical industry to provide statistical input into the study design, statistical analysis, and reporting of interventional and observational studies.
β’ Min 4 yrs experience with Phase-4 study, Medical Affairs study, Real World Evience (RWE) or HEOR study.
β’ Min 4 yrs experience in statistical software, SAS and R.
β’ Min 4 yrs experience with SDTM and ADaM data standards.
β’ Min 4 yrs experience with Real World Data (RWD) and RWE methodologies, such as propensity score analysis, causal inference.
β’ Min 4 yrs experience with advanced statistical models such as mixed effect model approaches for repeated measures, Machine Learning (ML) methods.
β’ Cogent Infotech is a leading tech consulting firm headquartered in Pittsburgh, PA, offering cutting-edge digital transformation solutions in Cloud, Cybersecurity, Data Analytics and AI. ISO-certified and CMMI Level 3 appraised, we proudly partner with 70+ Fortune 500 companies and 150+ government agencies. Cogent is an equal opportunity employer and does not discriminate based on any protected status under applicable law