Bioinformatics Analyst

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
456
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πŸ—“οΈ - Date discovered
September 11, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - 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: Mon–Fri, 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€’ Master’s degree with 3–5 years of relevant experience; OR β€’ Bachelor’s degree with 6–8 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.