The Fountain Group

Bioinformatics Associate II (Hybrid)

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
512
-
πŸ—“οΈ - Date
January 6, 2026
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
South San Francisco, CA
-
🧠 - 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€’ Master’s 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