Forecaster, Healthcare

Ipsos•New York, NY

7d•$150,000 - $180,000•Hybrid

About The Position

The Forecaster – Healthcare Market Research position is a specialized role that blends healthcare medical device and technology expertise with forecasting analytics to support healthcare decision-making. The role leverages statistical modeling, market intelligence, and healthcare industry knowledge to predict trends, assess market potential, and guide strategic initiatives.

Requirements

Bachelor’s degree in Market Research, Business Analytics, Statistics, Economics, or a related field; advanced degrees preferred
Strong analytical and quantitative skills with proficiency in statistical software (e.g., R, Python, SPSS, SAS) and data analysis tools
Experience in market research methodologies (primary/secondary, surveys, focus groups, competitive analysis)
Understanding of healthcare market structures, reimbursement models, and regulatory environments specific to medical devices, diagnostics and technologies.
Ability to communicate complex data insights clearly to non-technical audiences.
Detail-oriented, with strong problem-solving and critical thinking skills.

Responsibilities

Oversee primary and secondary research to understand HCP and patient needs and preferences, competitor activities, and healthcare market dynamics
Design, develop and maintain statistical and econometric models to project market growth, product adoption, and sales potential in healthcare sectors
Identify, Source and analyze historical and current healthcare market data to identify trends, patterns, and opportunities
Work closely with insights, data analytics, marketing, sales, product development, and healthcare operations teams to align forecasts with business strategy
Prepare detailed reports, dashboards, and presentations for executives and stakeholders, highlighting forecast accuracy and implications
Monitor industry trends, regulatory changes, and competitive landscape to inform market entry, expansion, or product positioning
Test forecast accuracy, refining models, and ensure they remain relevant to evolving market conditions