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Co-author skills for your resume and career

Updated January 8, 2025
2 min read
Below we've compiled a list of the most critical co-author skills. We ranked the top skills for co-authors based on the percentage of resumes they appeared on. For example, 32.3% of co-author resumes contained r as a skill. Continue reading to find out what skills a co-author needs to be successful in the workplace.

15 co-author skills for your resume and career

1. R

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how co-authors use r:
  • Analyzed final data collected using R statistical software.
  • Used Excel and R to analyze population, housing, employment and land use conditions as well as make projections.

2. Poster Presentation

Here's how co-authors use poster presentation:
  • Received outstanding poster presentation award at Southwest Regional Meeting of the American Chemical Society.
  • Collaborated on 2011 Cape Cod Natural History Conference poster presentation.

3. Research Projects

Here's how co-authors use research projects:
  • Conducted in research projects related to infection-induced signaling pathways, intestinal barrier function and skin product engineering
  • Served as Project Manager and Co-Investigator on multiple research projects.

4. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how co-authors use data collection:
  • Performed as a confederate in one study, as well as assisting in data collection.
  • Position: data collection, literature review, co-author.

5. JAN

Here's how co-authors use jan:
  • Created the website in fall of 2010 and went live in Jan. of 2011.
  • Institute for Defense Analyses, PID:2012-09337 Jan. 2013

6. Symposium

Here's how co-authors use symposium:
  • Keynote presentation at the Second Annual AOD Workforce Development Symposium, Adelaide Australia (2002).
  • Entered data and ran statistical analysis programs to analyze results * Presented data results at academic university symposium Clinical Experience

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7. Literature Reviews

Here's how co-authors use literature reviews:
  • Conduct a literature review and regression-based quantitative research on the topic of gender inequality in higher education with an economics professor.
  • Recommended discontinuation of project based on evaluation of literature review findings and scientific discussion with academic scientists and health care professional.

8. Data Analysis

Here's how co-authors use data analysis:
  • Required use of: manuscript analysis, MATLAB programming software, and statistical data analysis WORK EXPERIENCE & CERTIFICATIONS
  • Used data analysis and visualization techniques to effectively communicate the results of the research to the larger scientific community.

9. Research Paper

Here's how co-authors use research paper:
  • Coauthored a research paper on the effects of stray current on reinforced concrete.
  • Developed numerous research papers on employee engagement, workforce investigation, ethics, employee productivity.

10. PowerPoint

Here's how co-authors use powerpoint:
  • Teach Microsoft Office 2007: Microsoft word, Excel, PowerPoint, and Microsoft Access.
  • Attended monthly lab and faculty meetings and effectively communicated data and results via written reports and PowerPoint presentations to research team

11. Statistical Analysis

Here's how co-authors use statistical analysis:
  • Determined statistical analysis by nonlinear regression analysis
  • Reviewed popular next-generation sequencing platforms currently available for RNA-seq as well as the statistical analysis of RNA-seq data.

12. MATLAB

Here's how co-authors use matlab:
  • Constructed multiple, contiguous MATLAB programs to calibrate, filter, and analyze primate vocalizations.
  • Utilized Mathematica and MATLAB to build simulation models and run different regressions.

13. VOL

Here's how co-authors use vol:
  • Reviewed and edited an article in the Journal of Management Education, Vol.
  • published in the Journal of Global Business Advancement, Vol.

14. PCR

PCR stands for Polymerase Chain Reaction, a tool to make millions of copies of a target part of DNA. Polymerase chain reaction involves the process of heating and cooling. The process takes place using a machine, which helps in heating and cooling off the substances. The purpose of heating exists to separate the DNA into two single strands.

Here's how co-authors use pcr:
  • Worked on DNA mutagenesis, DNA construction (insertion, deletion), PCR.

15. Economics

Here's how co-authors use economics:
  • Conducted analysis and research on economics, culture, religion, politics and conflict negotiation.
  • Article selected for presentation at the 2013 International Academy of Business and Economics Conference.
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List of co-author skills to add to your resume

Co-author skills

The most important skills for a co-author resume and required skills for a co-author to have include:

  • R
  • Poster Presentation
  • Research Projects
  • Data Collection
  • JAN
  • Symposium
  • Literature Reviews
  • Data Analysis
  • Research Paper
  • PowerPoint
  • Statistical Analysis
  • MATLAB
  • VOL
  • PCR
  • Economics
  • International Journal
  • Scholarship
  • Fiction
  • International Conferences
  • DNA
  • LLC
  • Isbn

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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