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Senior bioinformatics scientist vs principal scientist

The differences between senior bioinformatics scientists and principal scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a senior bioinformatics scientist and a principal scientist. Additionally, a principal scientist has an average salary of $119,982, which is higher than the $104,838 average annual salary of a senior bioinformatics scientist.

The top three skills for a senior bioinformatics scientist include python, next-generation sequencing and data analysis. The most important skills for a principal scientist are oncology, data analysis, and drug discovery.

Senior bioinformatics scientist vs principal scientist overview

Senior Bioinformatics ScientistPrincipal Scientist
Yearly salary$104,838$119,982
Hourly rate$50.40$57.68
Growth rate17%17%
Number of jobs56,94480,899
Job satisfaction--
Most common degreeDoctoral Degree, 41%Bachelor's Degree, 51%
Average age4141
Years of experience44

Senior bioinformatics scientist vs principal scientist salary

Senior bioinformatics scientists and principal scientists have different pay scales, as shown below.

Senior Bioinformatics ScientistPrincipal Scientist
Average salary$104,838$119,982
Salary rangeBetween $66,000 And $164,000Between $84,000 And $169,000
Highest paying CityNovato, CASan Francisco, CA
Highest paying stateRhode IslandCalifornia
Best paying companyNVIDIAPayPal
Best paying industryPharmaceuticalFinance

Differences between senior bioinformatics scientist and principal scientist education

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

Senior Bioinformatics ScientistPrincipal Scientist
Most common degreeDoctoral Degree, 41%Bachelor's Degree, 51%
Most common majorBiologyChemistry
Most common collegeDuke UniversityDuke University

Senior bioinformatics scientist vs principal scientist demographics

Here are the differences between senior bioinformatics scientists' and principal scientists' demographics:

Senior Bioinformatics ScientistPrincipal Scientist
Average age4141
Gender ratioMale, 86.3% Female, 13.7%Male, 76.8% Female, 23.2%
Race ratioBlack or African American, 6.3% Unknown, 4.1% Hispanic or Latino, 9.5% Asian, 32.9% White, 47.1% American Indian and Alaska Native, 0.1%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 Percentage8%8%

Differences between senior bioinformatics scientist and principal scientist duties and responsibilities

Senior bioinformatics scientist example responsibilities.

  • Manage pediatric dose development project, technology transfer project and alternate API supplier qualification project on budget and on schedule
  • Design the NGS base cancer diagnostics report.
  • Assume responsibility for programming, using Perl and CGI and shell scripting.
  • Develop and validate ELISA assays necessary for providing information for PK/PD analysis.
  • Establish purification and purity analysis procedures, and develop numerous ELISA assays.
  • Provide small-scale GLP synthetic chemistry laboratory support to bulk GMP pharmaceutical manufacturing.
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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.
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Senior bioinformatics scientist vs principal scientist skills

Common senior bioinformatics scientist skills
  • Python, 16%
  • Next-Generation Sequencing, 15%
  • Data Analysis, 11%
  • Visualization, 9%
  • Computational Biology, 7%
  • NGS, 6%
Common principal scientist skills
  • Oncology, 7%
  • Data Analysis, 6%
  • Drug Discovery, 5%
  • GMP, 3%
  • Experimental Design, 3%
  • Clinical Trials, 3%

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