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Research Analyst Biostatistics And Evidence Management

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Cynet systems Inc
Full Time position
Listed on 2026-03-03
Job specializations:
  • Research/Development
    Research Scientist, Research Analyst, Clinical Research, Data Scientist
  • Healthcare
    Clinical Research, Data Scientist
Salary/Wage Range or Industry Benchmark: 64 - 75 USD Hourly USD 64.00 75.00 HOUR
Job Description & How to Apply Below

Job Description

Pay Range: $64/hr - $75/hr

  • The Research Analyst – Biostatistics & Evidence Management will support evidence generation activities including systematic literature reviews, meta-analyses, and real-world evidence studies.
  • The role requires strong statistical expertise, knowledge of PRISMA and Cochrane methodologies, and the ability to translate research findings into actionable insights for internal and external stakeholders.
Key Responsibilities
  • Execute systematic literature reviews following PRISMA methods and Cochrane guidelines using review tools such as End Note, Rev Man, Ref Works, and Nested Knowledge.
  • Perform meta-analyses using statistical software such as R.
  • Conduct real‑world evidence (RWE) studies and collaborate with cross‑functional teams.
  • Analyze and interpret data to generate meaningful insights.
  • Present research findings clearly to internal and external stakeholders.
  • Prepare scientific manuscripts, abstracts, posters, and conference presentations in compliance with publication standards.
  • Stay current with emerging methodologies and advancements in health outcomes research.
Required Skills
  • Minimum 3 years of research experience in health policy, epidemiology, biostatistics, outcomes research, or health services research.
  • Demonstrated expertise in conducting systematic literature reviews using PRISMA and Cochrane guidelines.
  • Experience using systematic review tools (End Note, Rev Man, Ref Works, Nested Knowledge).
  • Intermediate proficiency in statistical software such as R, SAS, or Python.
  • Strong statistical analysis and data interpretation skills.
  • Excellent written and verbal communication skills.
Preferred Skills
  • Additional 3+ years of health research experience.
  • Experience with real‑world data analysis and evidence generation.
  • Background in health economics or comparative effectiveness research.
  • Knowledge of current trends in health policy or health technology assessment.
  • Familiarity with Design of Experiments (DOE) methodologies.
Education And Experience
  • Master’s degree in Health Policy, Epidemiology, Biostatistics, Outcomes Research, Health Services Research, or a closely related field.
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