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# Bioinformatics Data Analyst (R / Python / Shiny)

- **Company:** Randstad
- **Location:** Ridgefield, CT, United States (Remote available)
- **Salary:** $102,544.0
- **Contract:** Contract
- **Skills:** Data Analysis, Bash Shell, Bioinformatics, Computational Biology, R (Programming Language), Python (Programming Language), Data Processing, Bioconductor, Information Technology
- **Published:** October 30, 2026
- **Apply:** https://www.randstadusa.com/jobs/137/999-211/bioinformatics-data-analyst-r-python-shiny_ridgefield/

## About the Role

* Master's degree in Bioinformatics, Genomics, Biostatistics, or Computer Science with 1+ years of experience; OR Bachelor's degree in a STEM discipline with 7+ years of experience (Note: PhD candidates cannot be considered for this role).
 * Hands-on proficiency in R, Python, UNIX/Linux bash scripting, Nextflow, or R/Bioconductor packages.
 * Proven experience analyzing NGS, multi-omics, or functional genomics datasets.
 * In-depth understanding of computational biology methods and public data repositories.

preferred:

 * Prior pharmaceutical research experience focused on immunological diseases.

## Description

job summary:
A premier global pharmaceutical leader is seeking a collaborative Scientist III to support novel therapeutic discovery in immunology. This is a 100% Remote contract opportunity (40 hours per week) offering the flexibility to work from home while driving high-impact bioinformatics research on cutting-edge genomics pipelines.

location: Remote
job type: 1 year contract
pay: $49.30/hr
work hours: Standard working hours
education: Master's Degree

responsibilities:

 * Design, implement, and deploy Next-Generation Sequencing (NGS) data analysis workflows for data processing, visualization, and integration.
 * Analyze complex genomic datasets-including bulk RNA-seq, scRNA-seq, and ATAC-Seq-to identify therapeutic targets and disease biomarkers.
 * Build interactive data visualizations and dashboards utilizing modern tools such as R Shiny and D3.
 * Select, benchmark, and optimize computational tools and bioinformatics QC protocols.
 * Automate data-processing workflows and deliver comprehensive technical reports to cross-functional discovery teams.

qualifications:

required:

 * Master's degree in Bioinformatics, Genomics, Biostatistics, or Computer Science with 1+ years of experience; OR Bachelor's degree in a STEM discipline with 7+ years of experience (Note: PhD candidates cannot be considered for this role).
 * Hands-on proficiency in R, Python, UNIX/Linux bash scripting, Nextflow, or R/Bioconductor packages.
 * Proven experience analyzing NGS, multi-omics, or functional genomics datasets.
 * In-depth understanding of computational biology methods and public data repositories.

preferred:

 * Prior pharmaceutical research experience focused on immunological diseases.

#LI-MH1

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.