Medical Data Annotator - remote at IQVIA

Amsterdam, North Holland, Netherlands

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Part TimeJob Type

UnknownVisa

Healthcare, Life SciencesIndustries

Requirements

Strong understanding of annotating medical documents and the complexities involved
Familiarity with health domains, medical terminology, and medical reports
Experience with ontology systems such as ICD-10 or SNOMED-CT (advantage)
Experience working with EHR systems (advantage)
Ability to work independently
Well-suited for medical students or individuals with a medical background accustomed to reading physician's reports
Fluent Dutch language skills and ability to understand medical documents in Dutch

Responsibilities

Using an annotation tool to link report texts to medical concepts and/or ontologies
Ensuring that all data is completely pseudonymized
Receiving comprehensive training to excel in the role

Skills

Key technologies and capabilities for this role

Medical Data AnnotationMedical TerminologyICD-10SNOMED-CTEHR SystemsOntology SystemsDutch Language

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is fully remote and allows work from home.

What are the working hours for this role?

The role is part-time, requiring 24-40 hours per week with flexible working hours.

What skills and experience are required for the Medical Data Annotator role?

Candidates need a strong understanding of annotating medical documents, familiarity with health domains, medical terminology, and medical reports, plus fluent Dutch language skills. Experience with ontology systems like ICD-10 or SNOMED-CT and EHR systems is an advantage. The role suits medical students or those with a medical background accustomed to reading physician's reports.

What is the duration of this position?

The position starts immediately and runs until the end of January 2025, with potential for extension and future assignments.

What makes a strong candidate for this Medical Data Annotator position?

A strong candidate has a medical background, such as being a medical student, with experience reading physician's reports, strong annotation skills for medical documents, and fluent Dutch to handle Dutch medical texts. Familiarity with ontologies like ICD-10 or SNOMED-CT and EHR systems is advantageous, along with the ability to work independently.

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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