

Bioinformatics Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Bioinformatics Analyst on a 9-month W2 contract, offering a flexible remote schedule. Key skills include NGS analysis, R programming, and data visualization. A PhD or relevant experience in bioinformatics or related fields is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
456
-
ποΈ - Date discovered
September 11, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#R #Visualization #Linux #Computer Science #Data Processing #Data Analysis #Programming #AWS (Amazon Web Services) #Plotly
Role description
Bioinformatics Analyst (100% Remote)
Type: W2 Contract (9 months); Schedule: MonβFri, standard business hours (flexible)
We are seeking a Bioinformatics Analyst to join a collaborative research team working on computational biology and genomics. This role will focus on large-scale data analysis to support therapeutic research and development programs. In this position, you will:
β’ Perform next-generation sequencing (NGS) analysis (RNAseq, WES, etc.) and interpret results to generate insights.
β’ Apply R programming in Linux, HPC, or AWS environments.
β’ Partner with cross-functional scientists to provide computational input on study design and results interpretation.
β’ Create clear data visualizations (ggplot2, plotly, etc.) and presentation materials for internal teams.
Required Qualifications
Education:
β’ PhD in bioinformatics, computational biology, genomics, computer science, cancer biology, immunology, or related field; OR
β’ Masterβs degree with 3β5 years of relevant experience; OR
β’ Bachelorβs degree with 6β8 years of relevant experience.
Technical Skills:
β’ NGS analysis (RNAseq, WES, etc.) and raw data processing expertise.
β’ R programming (fluency required).
β’ Linux, HPC clusters, or AWS environment experience.
β’ Background in oncology, immunology, or cancer genomics.
β’ Strong data visualization skills (ggplot2, plotly, etc.).
β’ Excellent communication and collaboration skills.
Preferred Qualifications
β’ Experience with single cell platforms, proteomics, spatial omics, or CRISPR screens.
β’ Familiarity with public genomics repositories (e.g., GDC, SRA/GEO, TCGA, GTEx).
β’ Experience developing omics workflows or computational pipelines.
β’ Prior industry experience in pharma, biotech, or research environments.
Bioinformatics Analyst (100% Remote)
Type: W2 Contract (9 months); Schedule: MonβFri, standard business hours (flexible)
We are seeking a Bioinformatics Analyst to join a collaborative research team working on computational biology and genomics. This role will focus on large-scale data analysis to support therapeutic research and development programs. In this position, you will:
β’ Perform next-generation sequencing (NGS) analysis (RNAseq, WES, etc.) and interpret results to generate insights.
β’ Apply R programming in Linux, HPC, or AWS environments.
β’ Partner with cross-functional scientists to provide computational input on study design and results interpretation.
β’ Create clear data visualizations (ggplot2, plotly, etc.) and presentation materials for internal teams.
Required Qualifications
Education:
β’ PhD in bioinformatics, computational biology, genomics, computer science, cancer biology, immunology, or related field; OR
β’ Masterβs degree with 3β5 years of relevant experience; OR
β’ Bachelorβs degree with 6β8 years of relevant experience.
Technical Skills:
β’ NGS analysis (RNAseq, WES, etc.) and raw data processing expertise.
β’ R programming (fluency required).
β’ Linux, HPC clusters, or AWS environment experience.
β’ Background in oncology, immunology, or cancer genomics.
β’ Strong data visualization skills (ggplot2, plotly, etc.).
β’ Excellent communication and collaboration skills.
Preferred Qualifications
β’ Experience with single cell platforms, proteomics, spatial omics, or CRISPR screens.
β’ Familiarity with public genomics repositories (e.g., GDC, SRA/GEO, TCGA, GTEx).
β’ Experience developing omics workflows or computational pipelines.
β’ Prior industry experience in pharma, biotech, or research environments.