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Academic Research 🏢 Full Time ⭐️ Verified

Senior Research Fellow - Academic Research (Quantitative Methods)

Massachusetts Institute of Technology
Cambridge, MA
Salary Estimate
USD 95.000 – USD 125.000
Posting Time
2 Mei 2026
Deadline
2 Mei 2027

Job description

Massachusetts Institute of Technology invites applications for a full-time Senior Research Fellow in Academic Research. This role offers an opportunity to lead interdisciplinary projects, mentor graduate students, and contribute to high-impact publications.

We seek a collaborative, results-driven scholar with a strong background in quantitative analysis and a passion for advancing knowledge. The position includes robust support, access to world-class datasets, and opportunities for collaboration across departments.

Responsibility

  • Design, implement, and oversee quantitative research projects across disciplines, ensuring rigorous methodology and reproducibility.
  • Lead data collection, cleaning, analysis, and interpretation to produce publishable findings.
  • Mentor graduate students and junior researchers, providing guidance on study design, analysis, and scholarly writing.
  • Collaborate with faculty to translate research questions into actionable studies and grant proposals.
  • Prepare high-quality manuscripts, reports, and presentations for internal and external audiences.
  • Contribute to grant applications, budget planning, and project management to ensure timely delivery.

Qualification

  • PhD in statistics, data science, economics, psychology, or a closely related field.
  • At least 3 years of postdoctoral or equivalent research experience with a strong publication record.
  • Expertise in statistical modeling, causal inference, machine learning, and modern data visualization.
  • Proficiency in R and Python; experience with Stata or SPSS is a plus.
  • Excellent communication skills and a demonstrated ability to lead, collaborate, and mentor others.
  • Strong organizational skills with the ability to manage multiple projects and meet deadlines.

Required Skills

quantitative research data analysis R Python Stata SPSS machine learning experimental design data visualization manuscript writing

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