Note: The job is a remote job and is open to candidates in USA. Net2Source Inc. is a global leader in workforce solutions, seeking a highly motivated Postdoctoral Scientist to join their Real-World Evidence (RWE) team within Johnson & Johnson Innovative Medicine. The role involves conducting high-impact research using large-scale observational databases and clinical trial data to generate real-world insights and collaborating with global cross-functional teams on various studies.

Responsibilities

• Conduct high-impact research using large-scale observational databases and clinical trial data to generate real-world insights
• Design and execute studies in collaboration with global cross-functional teams, including clinical, regulatory, epidemiology, and data science
• Develop protocols, statistical analysis plans, and programming specifications aligned with international standards
• Deliver high-quality outputs including analysis-ready datasets, visualizations, and manuscripts for peer-reviewed publication
• Present findings to internal and external stakeholders, including global scientific and regulatory audiences
• Stay current with global trends in RWE methodologies, data privacy regulations, and health technology assessment

Skills

• Masters in Epidemiology, Biostatistics, Data Science, Public Health, Biomedical Informatics, or a related quantitative discipline. Would prefer a PhD with qualifications
• Experience working with real-world data (e.g., electronic health records, claims, registries) from diverse healthcare systems
• Proficiency in R, Python, or SAS; familiarity with OMOP CDM and OHDSI tools is highly desirable
• Strong written and verbal communication skills in English; additional languages are a plus
• Demonstrated ability to work effectively in multicultural, multidisciplinary teams
• Experience working with data sources from low- and middle-income countries (LMICs), including national health surveys, regional registries, or community-based studies
• Familiarity with LMIC health systems, including data infrastructure, care delivery models, and public health priorities
• Knowledge of global health policies, including WHO guidelines, international data governance frameworks, and health equity initiatives
• Experience with digital health technologies, such as mobile health platforms, remote monitoring tools, or AI-enabled diagnostics
• Prior collaboration with pharmaceutical companies, including experience in clinical development, regulatory strategy, or health economics and outcomes research (HEOR)
• Experience with international regulatory submissions or health authority interactions
• Familiarity with machine learning, causal inference, and advanced statistical modeling
• Prior publications in peer-reviewed journals and presentations at global conferences

Company Overview

Company H1B Sponsorship