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Senior bioinformatics scientist vs postdoctoral associate

The differences between senior bioinformatics scientists and postdoctoral associates 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 associate. Additionally, a senior bioinformatics scientist has an average salary of $104,838, which is higher than the $54,350 average annual salary of a postdoctoral associate.

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

Senior bioinformatics scientist vs postdoctoral associate overview

Senior Bioinformatics ScientistPostdoctoral Associate
Yearly salary$104,838$54,350
Hourly rate$50.40$26.13
Growth rate17%17%
Number of jobs56,94418,093
Job satisfaction--
Most common degreeDoctoral Degree, 41%Doctoral Degree, 47%
Average age4141
Years of experience44

Senior bioinformatics scientist vs postdoctoral associate salary

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

Senior Bioinformatics ScientistPostdoctoral Associate
Average salary$104,838$54,350
Salary rangeBetween $66,000 And $164,000Between $39,000 And $74,000
Highest paying CityNovato, CABerkeley, CA
Highest paying stateRhode IslandMaine
Best paying companyNVIDIAArgonne National Laboratory
Best paying industryPharmaceuticalEducation

Differences between senior bioinformatics scientist and postdoctoral associate education

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

Senior Bioinformatics ScientistPostdoctoral Associate
Most common degreeDoctoral Degree, 41%Doctoral Degree, 47%
Most common majorBiologyChemistry
Most common collegeDuke UniversityDuke University

Senior bioinformatics scientist vs postdoctoral associate demographics

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

Senior Bioinformatics ScientistPostdoctoral Associate
Average age4141
Gender ratioMale, 86.3% Female, 13.7%Male, 63.2% Female, 36.8%
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, 5.7% Unknown, 3.9% Hispanic or Latino, 8.8% Asian, 39.4% White, 42.0% American Indian and Alaska Native, 0.1%
LGBT Percentage8%8%

Differences between senior bioinformatics scientist and postdoctoral associate 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.
  • Show more

Postdoctoral associate example responsibilities.

  • Develop and manage third party claim investigations and contractor remedial oversight for various insurance companies.
  • Co-Authore NIH grant proposal on membrane protein folding.
  • Participate in writing research grant applications including NIH and NSF.
  • X-ray protein crystallographic studies on the structures of antibodies and DNA.
  • Purify DNA from subject blood samples and organize the genome screen.
  • Complete mice handling training and currently using CRISPR technology to knockout genes in cell lines.
  • Show more

Senior bioinformatics scientist vs postdoctoral associate skills

Common senior bioinformatics scientist skills
  • Python, 16%
  • Next-Generation Sequencing, 15%
  • Data Analysis, 11%
  • Visualization, 9%
  • Computational Biology, 7%
  • NGS, 6%
Common postdoctoral associate skills
  • Patients, 8%
  • TIP, 7%
  • Data Analysis, 6%
  • Biomedical, 5%
  • CRISPR, 5%
  • Python, 4%

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