FSP Epidemiologist (Inflammation) at IQVIA

Durham, North Carolina, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceuticals, BiotechnologyIndustries

Requirements

PhD in Epidemiology or related field with a minimum of two (2) years of relevant post-doctoral experience, or a Master’s degree in epidemiology or a relevant scientific field plus five (5) years of experience
Experience in the pharmaceutical industry, biotechnology, or consulting environment is preferred
Understanding of observational research methods and experience with secondary data analysis, including electronic medical records and/or medical claims databases
Specific experience working with commercially available US datasets and data platforms
Experience with OMOP datasets is desirable
Background in chronic autoimmune inflammatory conditions such as Rheumatoid arthritis, atopic dermatitis, lupus and asthma is preferred
A record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred
Demonstrated ability to function with an increasing level of autonomy and to develop productive cross-functional collaborations in a matrix environment
Ability to manage priorities and performance targets

Responsibilities

Design and conduct epidemiological studies to generate real-world evidence
Support development of study protocols, analysis plans, and study reports
Identify and evaluate key variables from RWD sources (e.g., claims, EHR)
Conduct analyses for descriptive and comparative research using RWD
Contribute to the communication of observational research results and methods, including regulatory documents, reports, publications, and white papers
Support the effective communication of study/analysis results to support internal and external decisions
Contribute to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities
Coauthor abstracts and manuscripts for external dissemination of methodologic study results
Support the identification of fit-for-purpose data for the timely execution of the RWE strategy
Construct cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed

Skills

Epidemiology

Observational Studies

Real-World Evidence

OMOP

EHR

Claims Data

Secondary Data Analysis

Study Protocols

RWD Analysis

Statistical Analysis

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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