Research Associate III – Evidence Synthesis

🕒 July 28

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🔬 Research Analyst

👻 Ghost score 14%

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Logo of Thermo Fisher Scientific

Thermo Fisher Scientific

10,000+ employees

Founded 1956

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

Healthcare • Logistics • Manufacturing

Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.

📋 Description

• Independently direct key aspects of systematic literature review (SLR) research projects with guidance from senior staff. • Manage multiple projects with tasks varying to degree by project. • Define and refine research questions. • Design literature searches/algorithms. • Develop inclusion/exclusion criteria within PICOS framework. • Oversee screening of abstracts and full-text articles. • Review the PRISMA diagram depicting study attrition. • Validate data abstraction and extraction. • Finalize the analyzable dataset. • Draft tables and figures for analysis results. • Synthesize evidence base by drafting/editing project deliverables. • Delegate tasks to junior staff and review their work. • Develop project plan and monitor project progress, including timeline and budget.

🎯 Requirements

• PhD in health sciences, economics, biology, natural sciences or a related field with some related experience; • MSc. with significant related experience, or Bachelors with extensive relevant experience. • Proven experience in systematic literature review methods in health economics and/or health services research; • Experience in network meta-analysis would be an advantage but is not essential. • Ability to access and use a variety of computer software.

🏖️ Benefits

• Health insurance • Professional development opportunities • Flexible working hours

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