Senior Research Associate (Economics/Statistics)

5 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About

Dr. Rajiv Kumar (Former Vice Chairman, NITI Aayog)

Role Overview

Senior Research Associate

Key Responsibilities

  • Conduct applied research on economic growth, statistics, and public policy issues.
  • Analyse large datasets and apply econometric/statistical techniques for policy insights.
  • Draft

    policy briefs, reports, and presentations

    for decision-makers.
  • Engage with government officials, industry leaders, and academic stakeholders.
  • Contribute to

    roundtables, workshops, and consultations

    on policy challenges.
  • Support project design, proposal development, research project management and internal capability building.
  •  Work with other researchers and ensure high-quality outputs.

Qualification & Experience

  • Master’s, MPhil, or PhD in

    Economics, Statistics, or related fields

    from a reputed institution.
  • Minimum

    3–5 years of experience

    in policy research, data analysis, consulting, or academia.
  •  Strong proficiency in

    data analysis and econometrics

    (Stata/R/Python).
  • Demonstrated ability to design and independently manage research projects.
  • Excellent writing, presentation, and stakeholder engagement skills.
  • Adherence to research timelines and deliverables in a fast paced policy environment.
  • Preference will be given to candidates with prior work experience in

    state-level or applied policy research

    , especially in Madhya Pradesh.


What We Offer

  • Opportunity to work directly on

    state-level policy initiatives

    with tangible impact.
  • A dynamic, collaborative environment at one of India’s leading policy action tanks.
  • Competitive remuneration, commensurate with skills and experience.

Application Process:

Email the following to info@pahleindia.org

●     CV

●     Cover Letter (highlighting data/econometrics experience)

●     1–2 writing samples (preferably empirical research)

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