Samuel R Shiny, Data Analysis, Bioinformatics
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I am a freelance Bioinformatics Consultant, Data Analyst, and R Shiny Developer.

I have experience working with large-scale biological data including, gene expression profiles and clinical datasets. As a freelancer, I have experience and proficiency in any task involving R programming. I have also built a number of web platforms and applications for both bioinformatics research and health-tech startups. I can help you with basic tasks such as university assignments to contract projects for developing a web platform for your startup.

Technologies/Programming Languages I am proficient in:
1. R Programming and R Shiny
2. Python
3. MATLAB,
4. Web tech: HTML, PHP, JS, and React.

Some of my open-source work:
1. Statistical Enrichment Analysis of Samples (SEAS): https://aimed-uab.github.io/SEAS/
2. PAGER database and enrichment analysis: http://discovery.informatics.uab.edu/PAGER/
3. PAGER WebApp: https://github.com/aimed-uab/PAGER-Web-APP
4. sMAP: https://bi-stem-away.github.io/sMAP/
5. PepEngine: https://pepengine.in/
6. VIRdb 2.0: https://vitiligoinfores.com/

Look me up on LinkedIn for direct contact.

Subjects

  • Bioinformatics Beginner-Expert

  • Web Design and Development Beginner-Expert

  • R Shiny Beginner-Expert

  • Bioinformatics Datasets Visualization Beginner-Expert

  • Data analysis and visualization Beginner-Expert

  • Data Analysis in R/Python Beginner-Expert

  • Systems Biology and Bioinformatics Beginner-Expert

  • R Programming/Python Beginner-Expert

  • MATLAB based Modelling / Simulation / Optimization Beginner-Expert

  • Computational Bioinformatics Beginner-Expert


Experience

  • International Research Intern (Aug, 2019Aug, 2022) at University of Alabama at Birmingham

Education

  • Ph.D. (Biomedical Engineering) (Aug, 2022now) from University of Alabama at Birmingham
  • Bachelor of Technology (Bioinformatics) (Jul, 2017May, 2021) from AMITY University, Noida

Fee details

    5,00050,000/hour (US$59.91599.09/hour)

    Fee can vary on complexity of task and timeline.


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