

The Fountain Group
Bioinformatics Associate II (Hybrid)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Bioinformatics Associate II (Hybrid) in South San Francisco, CA, offering $45-64.85/hour for a 6-month contract. Requires a Master's degree, 5+ years of bioinformatics experience, proficiency in Python or R, and NGS workflow expertise.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
512
-
ποΈ - Date
January 6, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
South San Francisco, CA
-
π§ - Skills detailed
#Data Integrity #Programming #Cloud #Docker #R #Datasets #Azure #AWS (Amazon Web Services) #Python #GCP (Google Cloud Platform) #Documentation #Visualization #Scala #Data Integration
Role description
Details for the position are as follows:
β’ Rate: $45-64.85 an hour
β’ Location: South San Fransico, CA - Hybrid role MUST be able to come onsite 1 day a week
β’ 6 month contract to start with the possibility of extension or conversion depending on performance and business needs.
Job Description:
β’ Lead the development and optimization of bioinformatics pipelines and analyze NGS datasets in close collaboration with cross-functional research teams. The ideal candidate is highly proficient in Python or R, has deep experience with NGS workflows, and thrives in a fast-paced research environment.
β’ Develop, automate, and maintain scalable, reproducible pipelines for RNA-seq, WGS/WES, scRNA-seq, and other NGS data across HPC and/or cloud environments
β’ Perform advanced analyses including variant calling, differential expression, transcriptomic/epigenomic analysis, pathway enrichment, and genomic annotation
β’ Conduct quality control for FASTQ, BAM/CRAM, VCF, and related data formats
β’ Write efficient, well-documented Python or R code; build custom tools for data integration, visualization, and analysis
β’ Implement, evaluate, and adapt bioinformatics tools and algorithms, integrating open-source resources as needed
β’ Collaborate closely with wet-lab scientists to align analyses with experimental design and interpret results
β’ Troubleshoot pipeline failures, data issues, and performance bottlenecks while ensuring data integrity and reproducibility
β’ Prepare clear reports, visualizations, and presentations; maintain thorough documentation of workflows and code
β’ Stay current with emerging NGS technologies, tools, and computational methods
Required Skills:
β’ Masterβs degree with 5+ years of hands on experience within bioinformatics/comp genomics required
β’ Python or R programming experience required
β’ Experience with NGS datasets and implementing standard workflows required
β’ Experience with Public genomic datasets (NCBI / Ensembl / UCSC / GTEx / TCGA) required
β’ Experience with at least one of the following: STAR / BWA / Bowtie / GATK / Samtools / bcftools required
β’ Experience with at least one of the following: DESeq2 / EdgeR / Seurat / scanpy required
β’ Hybrid role MUST be able to come onsite 1 day a week in South San Fransico, CA.
Preferred qualifications:
β’ Experience with workflow management systems (Nextflow, Snakemake, WDL/Cromwell).
β’ Background in cloud computing (AWS, GCP, Azure) and containerization (Docker, Singularity).
β’ Previous work with HPC clusters.
β’ Experience with specialized sequencing applications such as:
β’ Single-cell assays (scRNA-seq / ATAC-seq)
β’ Long-read sequencing (PacBio, ONT)
β’ Epigenomics assays
Details for the position are as follows:
β’ Rate: $45-64.85 an hour
β’ Location: South San Fransico, CA - Hybrid role MUST be able to come onsite 1 day a week
β’ 6 month contract to start with the possibility of extension or conversion depending on performance and business needs.
Job Description:
β’ Lead the development and optimization of bioinformatics pipelines and analyze NGS datasets in close collaboration with cross-functional research teams. The ideal candidate is highly proficient in Python or R, has deep experience with NGS workflows, and thrives in a fast-paced research environment.
β’ Develop, automate, and maintain scalable, reproducible pipelines for RNA-seq, WGS/WES, scRNA-seq, and other NGS data across HPC and/or cloud environments
β’ Perform advanced analyses including variant calling, differential expression, transcriptomic/epigenomic analysis, pathway enrichment, and genomic annotation
β’ Conduct quality control for FASTQ, BAM/CRAM, VCF, and related data formats
β’ Write efficient, well-documented Python or R code; build custom tools for data integration, visualization, and analysis
β’ Implement, evaluate, and adapt bioinformatics tools and algorithms, integrating open-source resources as needed
β’ Collaborate closely with wet-lab scientists to align analyses with experimental design and interpret results
β’ Troubleshoot pipeline failures, data issues, and performance bottlenecks while ensuring data integrity and reproducibility
β’ Prepare clear reports, visualizations, and presentations; maintain thorough documentation of workflows and code
β’ Stay current with emerging NGS technologies, tools, and computational methods
Required Skills:
β’ Masterβs degree with 5+ years of hands on experience within bioinformatics/comp genomics required
β’ Python or R programming experience required
β’ Experience with NGS datasets and implementing standard workflows required
β’ Experience with Public genomic datasets (NCBI / Ensembl / UCSC / GTEx / TCGA) required
β’ Experience with at least one of the following: STAR / BWA / Bowtie / GATK / Samtools / bcftools required
β’ Experience with at least one of the following: DESeq2 / EdgeR / Seurat / scanpy required
β’ Hybrid role MUST be able to come onsite 1 day a week in South San Fransico, CA.
Preferred qualifications:
β’ Experience with workflow management systems (Nextflow, Snakemake, WDL/Cromwell).
β’ Background in cloud computing (AWS, GCP, Azure) and containerization (Docker, Singularity).
β’ Previous work with HPC clusters.
β’ Experience with specialized sequencing applications such as:
β’ Single-cell assays (scRNA-seq / ATAC-seq)
β’ Long-read sequencing (PacBio, ONT)
β’ Epigenomics assays






