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Doctoral research assistant vs doctoral fellow

The differences between doctoral research assistants and doctoral fellows can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a doctoral research assistant, becoming a doctoral fellow takes usually requires 2-4 years. Additionally, a doctoral research assistant has an average salary of $56,458, which is higher than the $53,366 average annual salary of a doctoral fellow.

The top three skills for a doctoral research assistant include data collection, research projects and PI. The most important skills for a doctoral fellow are patients, cell culture, and data analysis.

Doctoral research assistant vs doctoral fellow overview

Doctoral Research AssistantDoctoral Fellow
Yearly salary$56,458$53,366
Hourly rate$27.14$25.66
Growth rate17%17%
Number of jobs53,09122,661
Job satisfaction--
Most common degreeBachelor's Degree, 56%Doctoral Degree, 46%
Average age3841
Years of experience24

Doctoral research assistant vs doctoral fellow salary

Doctoral research assistants and doctoral fellows have different pay scales, as shown below.

Doctoral Research AssistantDoctoral Fellow
Average salary$56,458$53,366
Salary rangeBetween $41,000 And $77,000Between $39,000 And $72,000
Highest paying CityBoston, MASan Francisco, CA
Highest paying stateMassachusettsHawaii
Best paying companyOak Ridge National LaboratoryIBM
Best paying industryEducationPharmaceutical

Differences between doctoral research assistant and doctoral fellow education

There are a few differences between a doctoral research assistant and a doctoral fellow in terms of educational background:

Doctoral Research AssistantDoctoral Fellow
Most common degreeBachelor's Degree, 56%Doctoral Degree, 46%
Most common majorChemistryChemistry
Most common collegeHarvard UniversityDuke University

Doctoral research assistant vs doctoral fellow demographics

Here are the differences between doctoral research assistants' and doctoral fellows' demographics:

Doctoral Research AssistantDoctoral Fellow
Average age3841
Gender ratioMale, 53.1% Female, 46.9%Male, 55.3% Female, 44.7%
Race ratioBlack or African American, 8.6% Unknown, 6.0% Hispanic or Latino, 15.3% Asian, 16.8% White, 52.3% American Indian and Alaska Native, 1.0%Black or African American, 6.1% Unknown, 4.0% Hispanic or Latino, 9.3% Asian, 32.9% White, 47.6% American Indian and Alaska Native, 0.1%
LGBT Percentage8%8%

Differences between doctoral research assistant and doctoral fellow duties and responsibilities

Doctoral research assistant example responsibilities.

  • Process and manage GIS databases to contribute towards research in human transportation behavior.
  • Receive additional training in SAS.
  • Used electronic and structure evaluations using quantum chemistry packages such as GAUSSIAN.
  • Prepare and implement unique proposals for the synthesis of polymer and small molecule targets.
  • Discover novel mechanical functions for collagen and short DNA molecules in response to force.
  • Develop the use of FPLC for detection and characterization of large DNA structural motifs.
  • Show more

Doctoral fellow example responsibilities.

  • Lead the in-vitro biophysical and biochemical characterization of homologous recombination and investigate structure-function effects of mutant enzymes.
  • Attend courses in drug discovery, python programming, and next-generation sequencing analyses.
  • Coordinate the validation of data aquisition algorithms (C++, python) for all real and simulate data.
  • Conduct custom synthesis of organic molecules, key intermediates and building blocks for medicinal chemistry applications.
  • Design PCL/PLCL drug delivery system for DC immunotherapy.
  • Succeed in using CRISPR to genetically correct diseas iPSCs.
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Doctoral research assistant vs doctoral fellow skills

Common doctoral research assistant skills
  • Data Collection, 12%
  • Research Projects, 11%
  • PI, 9%
  • Data Analysis, 6%
  • Molecular Biology, 5%
  • Cell Culture, 5%
Common doctoral fellow skills
  • Patients, 8%
  • Cell Culture, 6%
  • Data Analysis, 5%
  • Research Projects, 5%
  • Cell Biology, 5%
  • Immunology, 5%

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