[Remote] Scientist 3 - Clinical Research
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
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