I will build bioinformatics apps and dashboards in r shiny, python, or react

K
knowledge43
K
knowledge43
Farhan

Level 1

About this gig

I design and develop custom bioinformatics apps for scientists, researchers, and biotech teams.

Whether you need a Shiny dashboard for transcriptomics, a React interface for multi-omics visualization, or a Python backend for data pipelines, I can deliver a complete solution thats elegant, interactive, and reliable.

What I offer

  • Shiny apps for genomics, transcriptomics, or lipidomics datasets
  • Python Streamlit / Dash apps for analysis & visualization
  • React + Vite or Electron frontends for modern UI or offline desktop tools
  • Full-stack setups using Flask / FastAPI
  • Real-time plots with Plotly, ggplot2, or Highcharts
  • Authentication, file upload, and export options

Why me

  • PhD in Immunology & Metaflammation with deep bioinformatics expertise
  • 8+ years in R, Python, and full-stack environments
  • Experienced with omics data pipelines (RNA-seq, ATAC-seq, Proteomics)
  • I deliver clean, modular, production-ready apps with documentation

Deliverables

  • Fully functional web or desktop app
  • Source code + setup instructions
  • Optional deployment (Shinyapps.io, Streamlit Cloud, or local server)

Get to know Farhan

Farhan

I am Dr Farhan, a Bioinformatician with a PhD in Bioinformatics

5.0(11)

Level 1

  • FromPakistan
  • Member sinceJul 2025
  • Avg. response time1 hour
  • Last delivery1 week
  • Languages

    Punjabi, Hindi, Urdu, English
I’m Dr. Farhan, a Bioinformatician with a PhD in Immunology and Bioinformatics, bringing over 8 years of experience in computational biology and data-driven life sciences research. I work extensively in R and Python, focusing on high-throughput data analysis including RNA-seq, ATAC-seq, and single-cell RNA-seq (scRNA-seq). My expertise also covers molecular docking, dynamics simulations, and multi-omics integration. I’ve helped researchers, academics, and biotech clients turn raw data into meaningful biological insights through robust pipelines, clean code, and clear visualizations.

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