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Principal statistical scientist vs principal scientist

The differences between principal statistical scientists and principal scientists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a principal statistical scientist, becoming a principal scientist takes usually requires 2-4 years. Additionally, a principal scientist has an average salary of $119,982, which is higher than the $108,113 average annual salary of a principal statistical scientist.

The top three skills for a principal statistical scientist include clinical trials, data analysis and experimental design. The most important skills for a principal scientist are oncology, data analysis, and drug discovery.

Principal statistical scientist vs principal scientist overview

Principal Statistical ScientistPrincipal Scientist
Yearly salary$108,113$119,982
Hourly rate$51.98$57.68
Growth rate31%17%
Number of jobs78,91680,899
Job satisfaction--
Most common degreeBachelor's Degree, 54%Bachelor's Degree, 51%
Average age3741
Years of experience24

Principal statistical scientist vs principal scientist salary

Principal statistical scientists and principal scientists have different pay scales, as shown below.

Principal Statistical ScientistPrincipal Scientist
Average salary$108,113$119,982
Salary rangeBetween $71,000 And $163,000Between $84,000 And $169,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateNevadaCalifornia
Best paying companyGenentechPayPal
Best paying industry-Finance

Differences between principal statistical scientist and principal scientist education

There are a few differences between a principal statistical scientist and a principal scientist in terms of educational background:

Principal Statistical ScientistPrincipal Scientist
Most common degreeBachelor's Degree, 54%Bachelor's Degree, 51%
Most common majorStatisticsChemistry
Most common collegeNorthwestern UniversityDuke University

Principal statistical scientist vs principal scientist demographics

Here are the differences between principal statistical scientists' and principal scientists' demographics:

Principal Statistical ScientistPrincipal Scientist
Average age3741
Gender ratioMale, 76.9% Female, 23.1%Male, 76.8% Female, 23.2%
Race ratioBlack or African American, 5.1% Unknown, 5.0% Hispanic or Latino, 7.6% Asian, 22.7% White, 59.4% American Indian and Alaska Native, 0.2%Black or African American, 6.3% Unknown, 4.1% Hispanic or Latino, 9.6% Asian, 26.4% White, 53.4% American Indian and Alaska Native, 0.1%
LGBT Percentage9%8%

Differences between principal statistical scientist and principal scientist duties and responsibilities

Principal statistical scientist example responsibilities.

  • Manage pediatric dose development project, technology transfer project and alternate API supplier qualification project on budget and on schedule
  • Conduct research and analyze data to identify potential biomarkers and provide input for selection of candidates for non-clinical studies development.
  • Facilitate customer acceptance of demand forecast by developing visualization processes, tutoring clients in methodology, and providing detail walk-through examples.

Principal scientist example responsibilities.

  • Manage pediatric dose development project, technology transfer project and alternate API supplier qualification project on budget and on schedule
  • Provide development of and line support for assign immunoassay reagents, calibrators and controls.
  • Transfer controls to manufacturing for product launch and include all require studies, testing and documentation under GMP guidelines.
  • Maintain several lab documents for ISO certification.
  • Understand drug metabolism and pharmacokinetics and design stable molecules.
  • Image visualization and manipulation of background plates for animation and post-processing.
  • Show more

Principal statistical scientist vs principal scientist skills

Common principal statistical scientist skills
  • Clinical Trials, 47%
  • Data Analysis, 42%
  • Experimental Design, 7%
  • Statistical Analyses, 4%
  • Internal Training, 0%
Common principal scientist skills
  • Oncology, 7%
  • Data Analysis, 6%
  • Drug Discovery, 5%
  • GMP, 3%
  • Experimental Design, 3%
  • Clinical Trials, 3%

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