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Principal statistical scientist vs scientist

The differences between principal statistical scientists and 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 scientist takes usually requires 2-4 years. Additionally, a principal statistical scientist has an average salary of $108,113, which is higher than the $97,344 average annual salary of a scientist.

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

Principal statistical scientist vs scientist overview

Principal Statistical ScientistScientist
Yearly salary$108,113$97,344
Hourly rate$51.98$46.80
Growth rate31%17%
Number of jobs78,91662,467
Job satisfaction--
Most common degreeBachelor's Degree, 54%Bachelor's Degree, 60%
Average age3741
Years of experience24

Principal statistical scientist vs scientist salary

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

Principal Statistical ScientistScientist
Average salary$108,113$97,344
Salary rangeBetween $71,000 And $163,000Between $67,000 And $140,000
Highest paying CitySan Francisco, CARedwood City, CA
Highest paying stateNevadaCalifornia
Best paying companyGenentechAirbnb
Best paying industry-Technology

Differences between principal statistical scientist and scientist education

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

Principal Statistical ScientistScientist
Most common degreeBachelor's Degree, 54%Bachelor's Degree, 60%
Most common majorStatisticsChemistry
Most common collegeNorthwestern UniversityUniversity of Southern California

Principal statistical scientist vs scientist demographics

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

Principal Statistical ScientistScientist
Average age3741
Gender ratioMale, 76.9% Female, 23.1%Male, 56.9% Female, 43.1%
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, 6.5% Unknown, 4.1% Hispanic or Latino, 9.8% Asian, 26.3% White, 53.2% American Indian and Alaska Native, 0.1%
LGBT Percentage9%8%

Differences between principal statistical scientist and 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.

Scientist example responsibilities.

  • Lead a cross-functional team to return an HIV combination product to market on random-access instrument.
  • Design the VERIS HIV-1 quantitative PCR assay which achieve Conformit Europ enne (CE) marking.
  • Manage an elemental analytical laboratory that include operating, maintaining and troubleshooting an ICP-OES, ICPMS, MXRF, and IC.
  • Develop and manage third party claim investigations and contractor remedial oversight for various insurance companies.
  • Manage study protocols and study conduct, intimately involve in the toxicology and pharmacokinetic study protocol development process.
  • Manage sample inventory via in-house laboratory information management system (LIMS) and implement additional systems for sample and chemical organization.
  • Show more

Principal statistical scientist vs scientist skills

Common principal statistical scientist skills
  • Clinical Trials, 47%
  • Data Analysis, 42%
  • Experimental Design, 7%
  • Statistical Analyses, 4%
  • Internal Training, 0%
Common scientist skills
  • Chemistry, 9%
  • Data Analysis, 7%
  • Patients, 7%
  • Molecular Biology, 4%
  • Cell Culture, 4%
  • Java, 3%

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