RWE Senior Data Analyst at IQVIA

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceutical, Healthcare, VirologyIndustries

Requirements

Master's Degree in Biostatistics, Epidemiology, Data Science or related field with 5-8 years relevant experience or PhD with 3 years relevant experience
Strong track record of analysis of RWD using EMR and claims data
Experience analyzing TriNetX RWD (preferred)
Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL
Prior pharmaceutical experience and advanced knowledge of observational research study design and analytic methodologies
Experience in CRO/consultation with client engagement responsibilities
Excellent analytic and communication skills with attention to detail
Ability to effectively manage and prioritize multiple tasks and projects
Prior experience in observational research utilizing EMR and claims data
Strong statistical programming skillset
Experience managing multiple studies and complex analyses

Responsibilities

Lead development of analytic datasets through raw data processing and conduct data checks / cleaning using secondary real world data sources, including claims, EHR, and lab data (e.g. Optum, HealthVerity, TriNetX)
Lead the feasibility of real-world data sources to characterize patient population, build patient cohorts, and define and validate key variables specific to study objectives
Conduct and QC analyses, including identification of diagnosis and treatment codes and applying statistical methods to handle sensor data, confounding, and missing data
Collaborate with epidemiologists to define specifications for descriptive and complex statistics (e.g. longitudinal analysis, survival analysis, regression models) in studies using RWD for virology research questions
Develop and QC TFLs for protocols/reports/manuscripts using RWD (e.g. claims and EHR)
Support development of other study documents including protocols, statistical analysis plans, and study reports
Communicate timelines, progress reports, and results to project team and key stakeholders
Provide technical, programming, and statistical expertise and independently bring project solutions to team for complex studies
Act as stewards of the client’s best practices, standards, and methodologies underlying the use of real-world data (RWD)
Lead development of datasets and conduct longitudinal analyses for observational studies in the virology therapeutic area

Skills

Key technologies and capabilities for this role

RWEEMRclaims dataEHROptumHealthVerityTriNetXstatistical programminglongitudinal analysissurvival analysisregression modelsdata cleaningpatient cohortsTFLsQC

Questions & Answers

Common questions about this position

What qualifications and experience are required for the RWE Senior Data Analyst role?

A Master's Degree in Biostatistics, Epidemiology, Data Science or related field with 5-8 years relevant experience or PhD with 3 years relevant experience is required, along with a strong track record of analysis of RWD using EMR and claims data, proficiency in SAS and/or R, macros, SQL, and experience in observational research.

What are the key technical skills needed for this position?

Proficiency in advanced statistical programming using SAS and/or R, macros, and SQL is required, plus experience with real-world data sources like claims, EHR, lab data (e.g., Optum, HealthVerity, TriNetX), and conducting analyses such as longitudinal analysis, survival analysis, and regression models.

Is this role remote or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What makes a strong candidate for this RWE Senior Data Analyst role?

Strong candidates will have prior experience in observational research using EMR and claims data, proficiency in SAS/R/SQL, pharmaceutical or CRO experience with client engagement, and the ability to manage multiple complex studies in virology with excellent analytic and communication skills.

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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