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Senior bioinformatics scientist vs postdoctoral scholar

The differences between senior bioinformatics scientists and postdoctoral scholars 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 postdoctoral scholar. Additionally, a senior bioinformatics scientist has an average salary of $104,838, which is higher than the $57,587 average annual salary of a postdoctoral scholar.

The top three skills for a senior bioinformatics scientist include python, next-generation sequencing and data analysis. The most important skills for a postdoctoral scholar are chemistry, python, and patients.

Senior bioinformatics scientist vs postdoctoral scholar overview

Senior Bioinformatics ScientistPostdoctoral Scholar
Yearly salary$104,838$57,587
Hourly rate$50.40$27.69
Growth rate17%17%
Number of jobs56,94418,983
Job satisfaction--
Most common degreeDoctoral Degree, 41%Bachelor's Degree, 50%
Average age4141
Years of experience44

Senior bioinformatics scientist vs postdoctoral scholar salary

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

Senior Bioinformatics ScientistPostdoctoral Scholar
Average salary$104,838$57,587
Salary rangeBetween $66,000 And $164,000Between $41,000 And $79,000
Highest paying CityNovato, CASan Francisco, CA
Highest paying stateRhode IslandCalifornia
Best paying companyNVIDIAMicrosoft
Best paying industryPharmaceuticalTechnology

Differences between senior bioinformatics scientist and postdoctoral scholar education

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

Senior Bioinformatics ScientistPostdoctoral Scholar
Most common degreeDoctoral Degree, 41%Bachelor's Degree, 50%
Most common majorBiologyChemistry
Most common collegeDuke UniversityDuke University

Senior bioinformatics scientist vs postdoctoral scholar demographics

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

Senior Bioinformatics ScientistPostdoctoral Scholar
Average age4141
Gender ratioMale, 86.3% Female, 13.7%Male, 53.0% Female, 47.0%
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, 6.5% Unknown, 4.1% Hispanic or Latino, 9.7% Asian, 26.3% White, 53.2% American Indian and Alaska Native, 0.1%
LGBT Percentage8%8%

Differences between senior bioinformatics scientist and postdoctoral scholar 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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Postdoctoral scholar example responsibilities.

  • Lead community-based health projects on and off campus as an Oslerian student scholar.
  • Lead the in-vitro biophysical and biochemical characterization of homologous recombination and investigate structure-function effects of mutant enzymes.
  • Utilize basic organic and inorganic chemistry techniques including polymer synthesis and NMR spectroscopy.
  • Train graduate students on molecular biology techniques- DNA and RNA extraction and qPCR.
  • Contribute to successful NIH grant proposals.
  • Develop HPLC analysis method for skin folate.
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Senior bioinformatics scientist vs postdoctoral scholar skills

Common senior bioinformatics scientist skills
  • Python, 16%
  • Next-Generation Sequencing, 15%
  • Data Analysis, 11%
  • Visualization, 9%
  • Computational Biology, 7%
  • NGS, 6%
Common postdoctoral scholar skills
  • Chemistry, 10%
  • Python, 8%
  • Patients, 6%
  • Data Analysis, 6%
  • NIH, 5%
  • C++, 5%

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