Biostatisticien principal FSP, RWE at IQVIA

Kirkland, Quebec, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceutical, BiotechnologyIndustries

Requirements

Experience in biostatistics, particularly in pharmaceutical sector with RWE (Real World Evidence)
Strong programming skills for data collection pipelines, model development, validation, and optimization with complex RWD datasets
Proficiency in advanced statistical methods including propensity score matching, survival analysis, regression modeling, and machine learning
Ability to address confounders, biases, and missing data in comparative effectiveness research, health outcomes studies, and pharmacoeconomic analyses
Knowledge of regulatory standards (e.g., FDA, EMA) for RWE submissions
Collaboration skills with cross-functional teams, data vendors, and healthcare organizations
Based in Mexico (home-based)

Responsibilities

Identify and access various RWD sources such as electronic health records (EHR), claims databases, patient registries, and other real-world data repositories
Collaborate with data vendors and healthcare organizations to ensure data quality, compliance, and accessibility
Develop robust data collection pipelines using advanced programming techniques to support study objectives
Design and execute statistical analyses of RWD to generate RWE for clinical, regulatory, and commercial purposes
Apply advanced statistical methods to derive meaningful insights from RWD
Lead comparative effectiveness research, health outcomes studies, and pharmacoeconomic analyses
Collaborate with cross-functional teams to design RWE studies, including retrospective cohort studies, case-control studies, and pragmatic trials
Contribute to study protocols, statistical analysis plans (SAP), and technical reports, ensuring clear definition of programming elements
Ensure studies comply with regulatory standards for RWE submissions
Prepare high-quality reports, manuscripts, and presentations summarizing RWE findings for internal stakeholders, regulatory authorities, and peer-reviewed publications
Use programming skills to create automated reporting tools and dynamic data visualizations

Skills

Biostatistics

Real World Evidence (RWE)

Real World Data (RWD)

Electronic Health Records (EHR)

Claims Databases

Patient Registries

Statistical Analysis

Clinical Research

Data Collection

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters

1998Year Founded

$3,526MTotal Funding

POST_IPO_EQUITYCompany Stage

Cybersecurity, Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.

Proliferation of disparate technological solutions causes technology overload in clinical trials.

Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.

The company offers privacy-enhancing technologies to protect individual patient data.

IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.

AI-driven drug discovery accelerates identification of potential drug candidates.

Expansion of telemedicine facilitates remote patient monitoring and data collection.

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