IQVIA - Per Diem - RN Clinical Nurse Educator - St. Louis, MO at IQVIA

St Louis, Missouri, United States

IQVIA Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Part TimeJob Type
UnknownVisa
Healthcare, Life SciencesIndustries

Requirements

  • RN Degree - Associates Degree required, Bachelor’s Degree preferred
  • Active and Unrestricted RN License required
  • Infusion or Vascular Access experience of at least 3-5 years required
  • Critical Care unit experience of at least 2 years preferred
  • Comfortable with basic software programs
  • Ability to travel locally, regionally, and nationally
  • Desire to expand talents in clinical education

Responsibilities

  • Provide peer-to-peer education and in-servicing to nurses, physicians, and hospital staff
  • Support medical device implementations
  • Assess customer-specific education needs and collaborate with staff to deliver a positive educational experience
  • Utilize clinical nursing expertise to answer questions and address concerns with the medical device
  • Provide updates, reports, and valuable feedback to clients during and after in-service assignments

Skills

Key technologies and capabilities for this role

RN LicenseInfusion TherapyVascular AccessCritical CareClinical EducationMedical Device TrainingPeer-to-Peer EducationBasic Software

Questions & Answers

Common questions about this position

What is the work arrangement and location for this position?

This is a remote position with required travel locally, regionally, and nationally. It is a per-diem, part-time role based in St. Louis, MO.

What is the salary for this RN Clinical Nurse Educator role?

This information is not specified in the job description.

What are the key requirements and skills needed for this position?

Candidates need an Associate's RN Degree (Bachelor’s preferred), active unrestricted RN license, 3-5 years infusion or vascular access experience (2+ years critical care preferred), comfort with basic software, and ability to travel.

How do I apply for this position at IQVIA?

Create an account on the IQVIA careers portal in less than one minute and complete the application within 5-7 minutes.

What kind of company is IQVIA?

IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries, helping accelerate innovative medical treatments to improve patient outcomes.

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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