Real World Insight Consultant (R1067201) in Seoul,SK bei IQVIA™

Datum der Veröffentlichung 8/21/2019

Stellenauszug

  • Mitarbeiterkategorie:
    Vollzeitbeschäftigung
  • Standort:
    Seoul,SK
  • Jobkategorie:
  • Berufserfahrung:
    Not Specified
  • Datum der Veröffentlichung
    8/21/2019
  • Job ID:
    R1067201

Stellenbeschreibung

IQVIA™ is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.

Responsibilities

  • Carry out work relating to the HEOR business areas (longitudinal retrospective study using internal or external big data, longitudinal prospective observational study, cross-sectional survey of patients/healthcare provider/or payers, patient reported outcome report, etc)
  • Work with supervision, indepently and/or as part of a project team on defined tasks
  • Involve in business development/internal initiatives i.e. produce partial initial drafts of proposals based on client RFP and supporting information, participate in internal disseminations and make oral presentations to IQVIA colleagues
  • Project management/client liaison including client management tasks, attend client and other external meetings and presentations of own research/analysis
  • Develop, review, implement and execution of prospective or retrospective outcome research protocols, statistical analysis plans and reports
  • Carry out local data sourcing, search, collection and generation and produce support materials for completed economic models, develop analysis plan, input to the development/adaptation of complex health economic models
  • Draft, revise, submit and present abstracts, posters and manuscripts for publication/ conference proceedings based on outcome research or economic models. Assist in the submission process

Minimum Qualification

  • Master’s degree in health outcomes research (epidemiology, pharmacy, public health, statistics, or related clinical discipline)
  • 3-5 years relevant work experience in outcomes research (e.g. claims data analysis, EMR analysis, patient survey data analysis, etc) including academic research experience
  • Understanding of Korea healthcare system including dynamics of the pharmaceutical industry
  • Demonstrable analytical, interpretative and problem-solving skills

Additional Qualification

  • Excellent verbal and written communication skills
  • Excellent analytical and project management skills including presentations, meeting and workshop facilitation, business and report writing
  • Excellent interpersonal skills and ability to work effectively with others in and across the organization to accomplish team goals
  • Strong capability in juggling priorities so that deadlines are met while retaining consistently high quality outcomes
  • Excellent conversational and business English (written and oral)
  • A willingness and ability to travel and Right to work in the recruiting country

Preferred Qualification

  • Ph. D. in health outcomes research (epidemiology, pharmacy, public health, statistics, or related clinical discipline)
  • Experience in analyzing healthcare claims data, EMR, or other big data
  • Experience in publishing literature, clinical research design, epidemiology and statistics
  • Prior experience related to outcomes research in healthcare and life science industries
  • Knowledge of SAS including Proc SQL, Proc Sort, Data Step syntax

Join Us

Making a positive impact on human health takes insight, curiosity, and intellectual courage. It takes brave minds, pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve outcomes for patients.

Forge a career with greater purpose, make an impact, and never stop learning.



Job ID: R1067201

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