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Academic Research 🏢 Full Time ⭐️ Verified

Senior Research Scientist, Academic Research

Lumina Research Institute
Cambridge, MA
Salary Estimate
USD 95.000 – USD 130.000
Posting Time
7 Mei 2026
Deadline
7 Mei 2027

Job description

Join Lumina Research Institute as a Senior Research Scientist in Academic Research. This full-time role leads independent and collaborative projects that advance multidisciplinary knowledge and contribute to high-impact publications.

We seek an expert with a passion for rigorous study design, data-driven inquiry, and clear scientific communication. The successful candidate will design, execute, and interpret experiments, mentor junior researchers, and engage with external partners to maximize research impact.

Responsibility

  • Lead and oversee research projects from hypothesis formulation through data collection, analysis, and interpretation.
  • Design rigorous experimental methodologies and ensure reproducibility, transparency, and data integrity.
  • Analyze complex datasets using statistical and computational techniques; extract actionable insights.
  • Collaborate with cross-disciplinary teams to develop innovative research directions and grant proposals.
  • Prepare high-quality manuscripts for submission to peer-reviewed journals and present findings at conferences.
  • Mentor graduate students and research staff; contribute to the supervision and training program.
  • Coordinate with internal stakeholders and external partners to maximize research impact and dissemination.

Qualification

  • PhD in a relevant field (e.g., data science, biology, psychology, engineering) or equivalent research experience.
  • Strong background in experimental design, statistics, and data interpretation.
  • Proficiency in Python and R; experience with SQL and data visualization tools (e.g., ggplot, Plotly).
  • Proven track record of peer-reviewed publications and conference presentations.
  • Experience with grant writing and managing research projects and budgets.
  • Excellent communication, collaboration, and mentoring skills; ability to work independently and in teams.
  • Commitment to research integrity, ethical standards, and reproducible workflows.

Required Skills

experimental design data analysis Python R SQL statistics machine learning basics scientific writing

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