IT Engagements, Inc.
Overview
Role: Bioinformatician (Level II) (Contract W2 Role) Location: Hybrid – South San Francisco (1 day onsite / 4 days remote) Greetings from IT Engagements IT Engagements is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have an immediate opening for the below position with one of our premium clients. 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. Tool & Algorithm Implementation
Implement, evaluate, and adapt existing bioinformatics tools and algorithms. Integrate open-source resources to support project objectives. Cross-Functional Collaboration
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. Troubleshooting & Optimization
Diagnose pipeline failures, data issues, and computational inefficiencies. Ensure data integrity, workflow reproducibility, and methodological rigor. Documentation & Reporting
Prepare clear reports, visualizations, and presentations summarizing analysis outcomes. Maintain precise documentation of workflows, code, and datasets. Continuous Learning
Stay current with bioinformatics tools, NGS technologies, and computational methods. 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. Preferred Qualifications
Experience with workflow management systems (Nextflow, Snakemake, WDL/Cromwell). Background in cloud computing (AWS, GCP, Azure) and containerization (Docker, Singularity). Previous work with HPC clusters. Experience with specialized sequencing applications such as: Single-cell assays (scRNA-seq / ATAC-seq); Long-read sequencing (PacBio, ONT); Epigenomics assays. Supplier Instructions (Mandatory)
All Submissions Must Include: Candidate’s primary programming language (Python or R) at the top of the resume. No job-to-job resumes; resumes must show tangible accomplishments and clear tenure. Specific NGS pipelines, data types, and tools the candidate has directly used. Candidate confirmation that they can commit to 1 day onsite weekly.
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Role: Bioinformatician (Level II) (Contract W2 Role) Location: Hybrid – South San Francisco (1 day onsite / 4 days remote) Greetings from IT Engagements IT Engagements is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have an immediate opening for the below position with one of our premium clients. 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. Tool & Algorithm Implementation
Implement, evaluate, and adapt existing bioinformatics tools and algorithms. Integrate open-source resources to support project objectives. Cross-Functional Collaboration
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. Troubleshooting & Optimization
Diagnose pipeline failures, data issues, and computational inefficiencies. Ensure data integrity, workflow reproducibility, and methodological rigor. Documentation & Reporting
Prepare clear reports, visualizations, and presentations summarizing analysis outcomes. Maintain precise documentation of workflows, code, and datasets. Continuous Learning
Stay current with bioinformatics tools, NGS technologies, and computational methods. 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. Preferred Qualifications
Experience with workflow management systems (Nextflow, Snakemake, WDL/Cromwell). Background in cloud computing (AWS, GCP, Azure) and containerization (Docker, Singularity). Previous work with HPC clusters. Experience with specialized sequencing applications such as: Single-cell assays (scRNA-seq / ATAC-seq); Long-read sequencing (PacBio, ONT); Epigenomics assays. Supplier Instructions (Mandatory)
All Submissions Must Include: Candidate’s primary programming language (Python or R) at the top of the resume. No job-to-job resumes; resumes must show tangible accomplishments and clear tenure. Specific NGS pipelines, data types, and tools the candidate has directly used. Candidate confirmation that they can commit to 1 day onsite weekly.
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