Opportunity Type: International Research Collaboration
Research Area: Antimicrobial Resistance (AMR)
Dataset Type: Five-year secondary dataset
Role: R Data Visualization Collaborator / Co-author
Principal Investigator: Dr. Ibrahim Khalil, SSO, FDIL, Barishal
Contact: dribrahim.dls@gmail.com

Overview

An international antimicrobial resistance (AMR) research project is seeking an expert collaborator with strong skills in data visualization using R. The project is based on a five-year secondary dataset and aims to produce high-quality, publication-ready visual outputs for research analysis, interpretation, and manuscript development.

The selected collaborator will join the project as a co-author and will contribute specifically to the visualization and graphical presentation of AMR-related data. This is a valuable opportunity for researchers, data analysts, public health professionals, veterinary/public health scholars, and R users interested in AMR research and international scientific collaboration.

Role and Responsibilities

The collaborator will be responsible for preparing clear, accurate, and publication-standard visualizations using R. Expected responsibilities may include:

• Cleaning and organizing the dataset for visualization purposes, if required.

• Developing high-quality graphs, charts, and figures using R.

• Preparing AMR trend visualizations based on the five-year dataset.

• Producing manuscript-ready figures suitable for journal publication.

• Using reproducible R scripts for transparency and future revision.

• Revising figures according to feedback from the research team.

• Maintaining agreed timelines and prioritizing the project until completion.

• Contributing to the visualization-related interpretation of results.

Required Skills and Qualifications

Applicants should have:

• Strong practical experience in R programming.

• Good command of R packages such as ggplot2, tidyverse, dplyr, tidyr, readr, and other relevant visualization packages.

• Experience in creating publication-quality figures, including trend graphs, bar charts, line graphs, heatmaps, grouped comparisons, and other scientific visualizations.

• Ability to work with secondary datasets.

• Understanding of research data presentation and scientific figure formatting.

• Ability to deliver work within agreed deadlines.

• Good communication skills and willingness to collaborate with an international research team.

Preferred Expertise

Preference will be given to applicants who have:

• Previous experience working with AMR, microbiology, veterinary science, public health, epidemiology, or One Health-related data.

• Experience preparing figures for peer-reviewed journal manuscripts.

• Familiarity with antimicrobial resistance patterns, bacterial isolates, antimicrobial classes, or surveillance datasets.

• A portfolio, GitHub link, previous publication, or sample visualizations prepared in R.

Expected Outputs

The selected collaborator is expected to provide:

• Clean and well-labelled visualizations.

• R scripts used for figure generation.

• Exported figures in high-resolution formats suitable for journal submission.

• Revised figures based on manuscript needs.

• Clear figure titles, captions, legends, and axis labels where necessary.

Authorship and Collaboration

The collaborator will be included as a co-author in the research manuscript, subject to meaningful contribution to the visualization and research development process. Authorship will follow standard academic and ethical guidelines based on contribution, accountability, and collaboration.

How to Apply

Interested applicants are requested to contact the Principal Investigator with the following information:

• Short academic or professional profile.

• CV or résumé.

• Evidence of R data visualization experience.

• Sample graphs, GitHub link, publication link, or previous visualization work, if available.

• Brief statement explaining availability and interest in the project.

Contact Information

Principal Investigator:
Dr. Ibrahim Khalil
SSO, FDIL, Barishal
Email: dribrahim.dls@gmail.com

Researchers and skilled R users interested in AMR data visualization and international collaboration are encouraged to apply.

Press & Published by: Abu Sayed

Contact for the Press: mail@ohyab.org