Bioinformaticist vs postdoctoral scholar

The differences between bioinformaticists 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 bioinformaticist and a postdoctoral scholar. Additionally, a bioinformaticist has an average salary of $59,857, which is higher than the $57,587 average annual salary of a postdoctoral scholar.

The top three skills for a bioinformaticist include python, unix and perl. The most important skills for a postdoctoral scholar are chemistry, python, and patients.

Bioinformaticist vs postdoctoral scholar overview

	Bioinformaticist	Postdoctoral Scholar
Yearly salary	$59,857	$57,587
Hourly rate	$28.78	$27.69
Growth rate	9%	17%
Number of jobs	6,020	18,983
Job satisfaction	-	-
Most common degree	Master's Degree, 40%	Bachelor's Degree, 50%
Average age	40	41
Years of experience	4	4

Bioinformaticist vs postdoctoral scholar salary

Bioinformaticists and postdoctoral scholars have different pay scales, as shown below.

	Bioinformaticist	Postdoctoral Scholar
Average salary	$59,857	$57,587
Salary range	Between $29,000 And $120,000	Between $41,000 And $79,000
Highest paying City	Oakland, CA	San Francisco, CA
Highest paying state	Alaska	California
Best paying company	Harvard University	Microsoft
Best paying industry	-	Technology

Differences between bioinformaticist and postdoctoral scholar education

There are a few differences between a bioinformaticist and a postdoctoral scholar in terms of educational background:

	Bioinformaticist	Postdoctoral Scholar
Most common degree	Master's Degree, 40%	Bachelor's Degree, 50%
Most common major	Biology	Chemistry
Most common college	Stanford University	Duke University

Bioinformaticist vs postdoctoral scholar demographics

Here are the differences between bioinformaticists' and postdoctoral scholars' demographics:

	Bioinformaticist	Postdoctoral Scholar
Average age	40	41
Gender ratio	Male, 90.0% Female, 10.0%	Male, 53.0% Female, 47.0%
Race ratio	Black or African American, 2.3% Unknown, 4.9% Hispanic or Latino, 6.3% Asian, 11.1% White, 74.7% American Indian and Alaska Native, 0.6%	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 Percentage	10%	8%

Differences between bioinformaticist and postdoctoral scholar duties and responsibilities

Bioinformaticist example responsibilities.

Develop UNIX shell script, PERL and AWK program and apply TECPLOT software macro files to automate data processing and report.
Implement many diverse analysis algorithms in Perl.
Implement biological interpretation of largescale data using gene ontology, gene set, and pathway and network enrichment analytical frameworks.
Develop a Java program to generate well format PDF reports automatically.

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.

Bioinformaticist vs postdoctoral scholar skills

Common bioinformaticist skills

Python, 45%
Unix, 15%
Perl, 13%
NGS, 13%
HPC, 5%
Biological Data, 3%

Common postdoctoral scholar skills

Chemistry, 10%
Python, 8%
Patients, 6%
Data Analysis, 6%
NIH, 5%
C++, 5%

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Bioinformaticist vs Postdoctoral Scholar

Updated January 8, 2025

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