Research Associate III

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Occupation tasks (O*NET)

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• Present the results of mathematical modeling and data analysis to management or other end users.
• Define data requirements, and gather and validate information, applying judgment and statistical tests.
• Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
• Prepare management reports defining and evaluating problems and recommending solutions.
• Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
• Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
• Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.
• Analyze information obtained from management to conceptualize and define operational problems.

O*NET source

Company facts (cached)

Website: 200510503zthermofisherscientificpte.com

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Role overview (listing rewrite)

We're hiring a Research Associate III at Thermo Fisher Scientific Pte. Ltd. in India on a full-time basis to lead independent research projects and drive evidence synthesis across our dynamic scientific research operations. About the Role As a Research Associate III, you'll take ownership of systematic literature review projects from conception through completion, working collaboratively with senior colleagues while managing multiple concurrent initiatives. Based in our India office, you'll operate on a standard Monday through Friday schedule, combining deep analytical rigour with cross-functional project leadership. The role includes potential line management responsibilities, depending on your experience and development. Responsibilities Direct systematic literature reviews and evidence syntheses, including scoping research questions and defining objectives aligned with study goals Design and execute comprehensive literature searches using PubMed, EMBASE, Cochrane Library, and grey literature sources; build and validate search algorithms for scientific databases Develop and apply inclusion and exclusion criteria following the PICOS framework throughout abstract and full-text screening phases Oversee the screening process, validate data abstraction workflows, and finalise analysis-ready datasets Prepare study attrition documentation, synthesise findings into tables and figures, and draft key sections of deliverables including reports, protocols, and statistical analysis plans Contribute to abstract and manuscript preparation for dissemination Manage project timelines, budgets, and deliverables; prepare scopes of work and project proposals Coordinate with clients through email, phone, and in-person meetings; own day-to-day stakeholder communication Delegate and review tasks completed by junior team members Participate in cross-departmental consulting on modelling, simulation, and real-world evidence initiatives Support recruitment, training, and line management activities as appropriate What We're Looking For A PhD in health sciences, economics, biology, natural sciences, or a closely related discipline with demonstrable research experience; alternatively, a Master's degree with substantial relevant experience or a Bachelor's degree with extensive practical background in research Established expertise in systematic literature review methodology within health economics or health services research; network meta-analysis experience is advantageous but not required Strong grasp of research principles and proven ability to design and execute complex research studies independently Proficiency with diverse software platforms—both proprietary and commercial tools—for data management and analysis Exceptional written and verbal…

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Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in India, hybrid, or fully remote?