Analyst - Assoc Consultant, Health Economics and Outcomes Research, Real World Solutions

PT IQVIA Solutions Indonesia (Jakarta Metropolitan Area)

DKI Jakarta, Indonesia

IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 86,000 employees, IQVIA conducts operations in more than 100 countries. IQVIA is a global leader in protecting individual patient privacy. The company uses a wide variety of privacy-enhancing technologies and safeguards to protect individual privacy while generating and analyzing information on a scale that helps healthcare stakeholders identify disease patterns and correlate with the precise treatment path and therapy needed for better outcomes. IQVIA’s insights and execution capabilities help biotech, medical device and pharmaceutical companies, medical researchers, government agencies, payers and other healthcare stakeholders tap into a deeper understanding of diseases, human behaviors and scientific advances, in an effort to advance their path toward cures.

About this position

Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. The HEOR practice is part of the IQVIA Real-World Insights business unit that connects healthcare stakeholders through knowledge, skills, practical experience, creativity and data to demonstrate the value of medicines, enhance quality of care and drive improvement of patient outcomes.

Responsibilities

• Carry out works relating to the HEOR business areas (health economic modelling, HTA submissions, systematic reviews & meta-analysis including mixed treatment analysis and indirect comparison, value communication, market access strategy and outcomes research) to a high standard which meets or exceeds client expectations.
• End-to-end health economic modelling not limited to draft modelling plans, input to the development/ adaptation of complex health economics models, local data sourcing, search, collection and generation and produce support materials for completed economic models, e.g. reports and training programmes.
• Project management / client liaison including client management tasks, attend client and other external meetings and presentations of own research / analysis.
• Carry out abstract review, paper selection and data extraction.
• Plan, prepare and conduct primary interviews with KOLs and other stakeholders/ experts as part of HEOR project execution.
• Develop and write literature review reports and carry out grey literature reviews.
• Draft clinical and economic chapters for product value dossiers and value communications support material for clients, including the development of value messages.
• Draft, revise, submit and present abstracts, posters and manuscripts for publication/ conference proceedings based on economic models, literature reviews, meta-analyses and other HEOR work. Assist in the submission process.
• Carry out research and draft reports for projects delivering results to clients on pricing, reimbursement, and market access.
• Support broader real-world evidence in line with regional strategy and working with regional RWE team members.
• Work with supervision, independently and/or as part of a project team on defined tasks.
• Support business development activities.

Requirements

• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team.
• Experience in health economics, outcomes research, or related fields.
• Familiarity with statistical software and data analysis tools.
• Strong organizational skills and attention to detail.
• Ability to manage multiple projects and meet deadlines.