Intelliswift Software, Inc
Job Title:
Bioinformatics Associate II Duration: 12 Months Location: South San Francisco, CA Pay Rate: $62.93- $65.65/hr
Job Description: We are seeking a highly skilled and motivated Bioinformatician (Level 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, has deep experience with NGS workflows, and thrives in a fast-paced research environment.
Key Responsibilities Bioinformatics Pipeline Development ● 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. NGS Data Analysis ● 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.
Programming & Scripting ● Write efficient, reproducible, and well-documented code in Python or R. ● Build custom tools for data integration, transformation, and visualization.
Required 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. ● Demonstrated proficiency in Python or R (candidate must specify their primary language). ● 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.
Bioinformatics Associate II Duration: 12 Months Location: South San Francisco, CA Pay Rate: $62.93- $65.65/hr
Job Description: We are seeking a highly skilled and motivated Bioinformatician (Level 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, has deep experience with NGS workflows, and thrives in a fast-paced research environment.
Key Responsibilities Bioinformatics Pipeline Development ● 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. NGS Data Analysis ● 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.
Programming & Scripting ● Write efficient, reproducible, and well-documented code in Python or R. ● Build custom tools for data integration, transformation, and visualization.
Required 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. ● Demonstrated proficiency in Python or R (candidate must specify their primary language). ● 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.