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Research Scientist

Uncover hidden mechanisms. Design experiments. Advance human knowledge.

$100,890 Median wage+11% (Much faster than average)Best Ikigai types for this career: Skilled Expert

What a Research Scientist does

Day-to-day responsibilities and the work itself.

  • Design and conduct laboratory experiments using specialized equipment to test hypotheses and collect empirical data on biological or chemical mechanisms.
  • Analyze experimental results using statistical software and interpret data to determine whether findings support or contradict initial research questions.
  • Write peer-reviewed manuscripts documenting methodology, results, and conclusions for publication in scientific journals and conference proceedings.
  • Collaborate with interdisciplinary teams to troubleshoot failed experiments, refine protocols, and develop new techniques for measuring biological phenomena.
  • Present research findings to funding agencies, institutional review boards, and scientific committees to secure grants and demonstrate project progress.

Best Ikigai types for this career

Personality profiles whose strengths align with Research Scientist.

Pillar profile for this career

How Research Scientist draws on the four Ikigai pillars.

Passion
75
Mission
50
Vocation
83
Profession
68

Salary detail

Median wage

$100,890

USD/yr

Range (10th–90th percentile)

$53,780$175,030

10th–90th percentile

10-year growth

+11%

Much faster than average

US employment (2023)

137,700

SOC 19-1042

Source: BLS OEWS May 2023; EP 2023–2033

Key skills

Experimental designStatistical analysisScientific writingLab techniquesCritical thinking

Typical education

Doctorate or professional degree

A day in the life

I arrive before most colleagues, checking overnight incubator readings and reviewing preliminary data from yesterday's run. The lab is quiet—just the hum of equipment and the occasional beep of an autoclave. By mid-morning, I'm elbow-deep in sample preparation, pipetting carefully while mentally rehearsing today's lab meeting. I'll need to explain why one experimental condition failed and defend my proposed pivot. Over lunch, I draft the methods section of our latest manuscript, wrestling with precision—each sentence must be reproducible, verifiable. Afternoon brings collaboration: a postdoc asks about my staining protocol, I troubleshoot someone else's imaging problem. By late afternoon, I'm analyzing confocal microscopy images, looking for the subtle patterns that might crack this year's central question. The data might contradict what I expected. That uncertainty is exactly why I'm here.

Is this your ikigai?

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