Analyst, Health Economics & Outcomes Research; HEOR

Position: Analyst, Health Economics & Outcomes Research (HEOR)
Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the worldfrom the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.

Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe.

We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

** Overview*
* As an  
** Analyst, Health Economics & Outcomes Research (HEOR)** , you will support the generation of real-world evidence and health economics research that helps inform healthcare decision-making and demonstrate the value of pharmaceutical therapies. Working closely with cross-functional partners across Medical Affairs, Market Access, Business Analytics, and external research collaborators, you will analyze complex healthcare datasets, contribute to evidence generation initiatives, and help translate research findings into publications, presentations, and payer-facing materials.

This role offers an excellent opportunity to build expertise in health economics, outcomes research, and real-world evidence within the pharmaceutical industry while contributing to research that impacts patient care and access.

** Key Responsibilities*
* ** Conduct Health Economics & Outcomes Research*
* + Analyze large healthcare datasets, including claims, clinical, patient registry, and survey data, to support real-world evidence and outcomes research initiatives.

+ Conduct descriptive and inferential statistical analyses evaluating healthcare utilization, medication adherence, treatment effectiveness, and epidemiologic outcomes.

+ Support the design, execution, and interpretation of HEOR studies under the guidance of senior team members.

+ Conduct systematic and targeted literature reviews to support evidence generation, value dossiers, and research projects.

** Support Evidence Generation & Scientific Communications*
* + Assist in developing economic models, including cost-effectiveness, budget impact, and cost-utility models.

+ Prepare study reports, data summaries, analyses, tables, figures, and presentations that communicate research findings to internal and external audiences.

+ Contribute to the development of abstracts, manuscripts, posters, and scientific presentations for conferences and peer-reviewed publications.

+ Translate complex analyses into clear, actionable insights for diverse stakeholders.

** Advance Data Analytics & Research Excellence*
* + Apply statistical programming and analytical techniques to support large-scale real-world evidence projects.

+ Support project management activities, including study timelines, documentation, and deliverable tracking.

+ Stay current on HEOR methodologies, healthcare analytics, industry guidelines, and evolving healthcare policy and reimbursement trends.

+ Ensure all research activities adhere to compliance, quality, privacy, and regulatory requirements.

** Qualifications*
* *
* Required:

*
* + Master's degree in Health Economics, Data Science, Public Health, Health Services Research, Statistics, Biostatistics, or a related field.

+ 2+ years of experience in healthcare data analysis, preferably within HEOR, healthcare consulting, medical device, or pharmaceutical environments.

+ Proficiency with statistical and analytical tools such as Python, R, SQL, or SAS.

+ Strong understanding of healthcare data analysis, statistical methodologies, predictive modeling, and data transformation techniques.

+ Knowledge of healthcare databases and coding systems, including ICD, CPT, HCPCS, LOINC, or similar standards.

+ Strong analytical, problem-solving, and quantitative skills with the ability to generate meaningful insights from complex healthcare data.

+ Excellent written and verbal communication skills, including the ability to communicate technical concepts to diverse audiences.

+ Strong organizational…