Remote Policy & Health Research Analyst: AI & Data Impact

Innodata Inc.

Philippines

Remote

PHP 600.000 - 900.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Innodata Knowledge Services Inc. is seeking a Policy and Health Research Analyst to review, analyze, and assess health policy, regulatory, and economic development materials.

You will verify data quality, extract key findings, and support evidence-based decision-making in AI and data initiatives. The role emphasizes strong analytical and written communication skills, with a remote/work-from-home arrangement and collaboration with a global data-engineering leader.

Qualifikationen

  • Master’s degree in Public Health, Public Policy, Economics, Pharmacy, or related field.
  • At least 3 years of policy or health research experience in regulatory context.
  • Strong analytical, research, and critical-thinking capabilities.
  • Excellent written communication and attention to detail.
  • Ability to interpret complex reports and regulatory information.
  • Remote / Work-from-Home option.
  • Collaborate with a global leader in data engineering and AI solutions.

Aufgaben

  • Review and analyze government audit reports, health policies, and regulatory documents.
  • Assess drug regulatory reviews, clinical case reports, and healthcare-related research.
  • Evaluate economic development assessments and policy-related studies.
  • Identify relevant information, verify data quality, assess reliability of sources.
  • Summarize key findings and ensure accuracy, consistency, and attention to detail.

Kenntnisse

Analytical skills
Research skills
Critical-thinking
Written communication
Attention to detail
Interpret complex reports

Ausbildung

Master’s degree in Public Health/Public Policy/Economics/Pharmacy

Jobbeschreibung

Innodata Knowledge Services Inc. is seeking a Policy and Health Research Analyst to review, analyze, and assess health policy, regulatory, and economic development materials.

You will verify data quality, extract key findings, and support evidence-based decision-making in AI and data initiatives. The role emphasizes strong analytical and written communication skills, with a remote/work-from-home arrangement and collaboration with a global data-engineering leader.

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