

R&D Partners
Bioinformatics Associate II
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Bioinformatics Associate II with 5-10 years of experience and a Master’s degree in a relevant field. It’s a 6-month hybrid contract in South San Francisco, paying $52.24-$65.30/hr. Key skills include Python or R, NGS analysis, and workflow management.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
January 6, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
South San Francisco, CA
-
🧠 - Skills detailed
#Docker #Datasets #Python #Visualization #Scala #Data Integrity #Statistics #Cloud #AWS (Amazon Web Services) #Computer Science #Documentation #"ETL (Extract #Transform #Load)" #Data Integration #GCP (Google Cloud Platform) #GitHub #Databases #Version Control #R #Azure #GIT
Role description
We are seeking a highly skilled and motivated Bioinformatics Associate II with 5-10 years of hands-on experience and a Master’s degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related quantitative field. This individual will lead the development and optimization of bioinformatics pipelines, analyze NGS datasets, and collaborate closely with cross-functional research teams. The ideal candidate is highly proficient in Python or R and has deep experience with NGS workflows and thrives in a fast-paced research environment.
This is a 6-month contract position based in South San Francisco, CA. The schedule is 1 day onsite required and 4 days remote.
Responsibilities
• Develop, automate, and maintain robust pipelines for RNA-seq, WGS/WES, scRNA-seq, or other sequencing datasets.
• Optimize workflows for reproducibility, scalability, and performance across HPC or cloud environments.
• Perform advanced computational analyses including: Variant calling, Differential gene expression, Transcriptomic and epigenomic analysis, Pathway/enrichment analysis, Genomic annotation.
• Conduct QC for FASTQ, BAM/CRAM, VCF, and related formats.
• Write efficient, reproducible, and well-documented code in Python or R.
• Build custom tools for data integration, transformation, and visualization.
• Implement, evaluate, and adapt existing bioinformatics tools and algorithms.
• Integrate open-source resources to support project objectives.
• Work closely with wet-lab scientists to interpret data, troubleshoot issues, and align computational analyses with experimental design.
• Communicate complex findings clearly to technical and non-technical audiences.
• Diagnose pipeline failures, data issues, and computational inefficiencies.
• Ensure data integrity, workflow reproducibility, and methodological rigor.
• Prepare clear reports, visualizations, and presentations summarizing analysis outcomes.
• Maintain precise documentation of workflows, code, and datasets.
• Stay current with bioinformatics tools, NGS technologies, and computational methods.
Qualifications
• Master’s degree is required (Bioinformatics, Computational Biology, Genomics, Computer Science, or related quantitative field).
• 5–10 years of hands-on experience working in bioinformatics or computational genomics required.
• Demonstrated proficiency in Python or R.
• Extensive experience analyzing NGS datasets and implementing standard workflows.
• Proficiency with key tools, including: STAR, BWA, Bowtie2, GATK, Samtools, bcftools, DESeq2, EdgeR, Seurat, Scanpy.
• Experience with public genomic databases (NCBI, Ensembl, UCSC, GTEx, TCGA).
• Strong understanding of statistics, experimental design, and computational biology principles.
• Proficiency using Git/GitHub for version control.
• Excellent communication, problem-solving, and organizational skills.
• Experience with workflow management systems (Nextflow, Snakemake, WDL/Cromwell) preferred.
• Background in cloud computing (AWS, GCP, Azure) and containerization (Docker, Singularity) preferred.
• Previous work with HPC clusters preferred.
• Experience with specialized sequencing applications such as: Single-cell assays (scRNA-seq / ATAC-seq), Long-read sequencing (PacBio, ONT), Epigenomics assays preferred.
Pay
• $52.24-$65.30/hr
Why Choose R&D Partners?
As an employee, you have access to a comprehensive benefits package including:
• Medical insurance – PPO, HMO & HSA
• Dental & Vision insurance
• 401k plan
• Employee Assistance Program
• Long-term disability
• Weekly payroll
• Expense reimbursement
• Online timecard approval
R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies.
R&D Partners is an equal-opportunity employer.
We are seeking a highly skilled and motivated Bioinformatics Associate II with 5-10 years of hands-on experience and a Master’s degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related quantitative field. This individual will lead the development and optimization of bioinformatics pipelines, analyze NGS datasets, and collaborate closely with cross-functional research teams. The ideal candidate is highly proficient in Python or R and has deep experience with NGS workflows and thrives in a fast-paced research environment.
This is a 6-month contract position based in South San Francisco, CA. The schedule is 1 day onsite required and 4 days remote.
Responsibilities
• Develop, automate, and maintain robust pipelines for RNA-seq, WGS/WES, scRNA-seq, or other sequencing datasets.
• Optimize workflows for reproducibility, scalability, and performance across HPC or cloud environments.
• Perform advanced computational analyses including: Variant calling, Differential gene expression, Transcriptomic and epigenomic analysis, Pathway/enrichment analysis, Genomic annotation.
• Conduct QC for FASTQ, BAM/CRAM, VCF, and related formats.
• Write efficient, reproducible, and well-documented code in Python or R.
• Build custom tools for data integration, transformation, and visualization.
• Implement, evaluate, and adapt existing bioinformatics tools and algorithms.
• Integrate open-source resources to support project objectives.
• Work closely with wet-lab scientists to interpret data, troubleshoot issues, and align computational analyses with experimental design.
• Communicate complex findings clearly to technical and non-technical audiences.
• Diagnose pipeline failures, data issues, and computational inefficiencies.
• Ensure data integrity, workflow reproducibility, and methodological rigor.
• Prepare clear reports, visualizations, and presentations summarizing analysis outcomes.
• Maintain precise documentation of workflows, code, and datasets.
• Stay current with bioinformatics tools, NGS technologies, and computational methods.
Qualifications
• Master’s degree is required (Bioinformatics, Computational Biology, Genomics, Computer Science, or related quantitative field).
• 5–10 years of hands-on experience working in bioinformatics or computational genomics required.
• Demonstrated proficiency in Python or R.
• Extensive experience analyzing NGS datasets and implementing standard workflows.
• Proficiency with key tools, including: STAR, BWA, Bowtie2, GATK, Samtools, bcftools, DESeq2, EdgeR, Seurat, Scanpy.
• Experience with public genomic databases (NCBI, Ensembl, UCSC, GTEx, TCGA).
• Strong understanding of statistics, experimental design, and computational biology principles.
• Proficiency using Git/GitHub for version control.
• Excellent communication, problem-solving, and organizational skills.
• Experience with workflow management systems (Nextflow, Snakemake, WDL/Cromwell) preferred.
• Background in cloud computing (AWS, GCP, Azure) and containerization (Docker, Singularity) preferred.
• Previous work with HPC clusters preferred.
• Experience with specialized sequencing applications such as: Single-cell assays (scRNA-seq / ATAC-seq), Long-read sequencing (PacBio, ONT), Epigenomics assays preferred.
Pay
• $52.24-$65.30/hr
Why Choose R&D Partners?
As an employee, you have access to a comprehensive benefits package including:
• Medical insurance – PPO, HMO & HSA
• Dental & Vision insurance
• 401k plan
• Employee Assistance Program
• Long-term disability
• Weekly payroll
• Expense reimbursement
• Online timecard approval
R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies.
R&D Partners is an equal-opportunity employer.






