Hybrid HEOR Data Analyst – Real‑World Evidence

Bausch & Lomb GmbH; Bridgewater Township (NJ); Hybrid; USD 85,000 - 120,000; Full time

Job summary

Bausch + Lomb is seeking an Analyst, Health Economics & Outcomes Research (HEOR) to generate real-world evidence informing payer decisions and value dossiers. This role collaborates with Medical Affairs, Market Access, and analytics teams to analyze large healthcare datasets, build economic models, and prepare publications and presentations.

The hybrid position in Bridgewater, NJ offers exposure to HEOR methodologies, data science, and regulatory considerations, with opportunities to contribute

Qualifications

• Master's degree in Health Economics, Data Science, Public Health, Health Services Research, Statistics, Biostatistics, or a related field.
• 2+ years of healthcare data analysis experience, 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 skills with the ability to manage multiple priorities in a fast-paced environment.
• Coursework or experience in pharmacoeconomics, epidemiology, biostatistics, or outcomes research.
• Familiarity with real-world data sources, including claims databases, electronic health records (EHR), and patient registries.
• Experience supporting systematic literature reviews, meta-analyses, or evidence synthesis projects.
• Exposure to cloud-based analytics environments such as AWS, Azure, Snowflake, or similar platforms.
• Experience with scientific publication development or conference presentations.

Responsibilities

• 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.
• 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.
• 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.

Skills

Python

R

SQL

SAS

Healthcare data analysis

Statistical methods

Education

Master's degree in Health Economics or related field

Tools

AWS

Azure

Snowflake

Job description

Bausch + Lomb is seeking an Analyst, Health Economics & Outcomes Research (HEOR) to generate real-world evidence informing payer decisions and value dossiers. This role collaborates with Medical Affairs, Market Access, and analytics teams to analyze large healthcare datasets, build economic models, and prepare publications and presentations.

The hybrid position in Bridgewater, NJ offers exposure to HEOR methodologies, data science, and regulatory considerations, with opportunities to contribute