Bioinformatics Associate II

Overview

Our Client, a Biotech company, is looking for a Bioinformatics Associate II for their South San Francisco, CA/Hybrid location.

• 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.

• 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/Git Hub for version control.
• Excellent communication, problem-solving, and organizational skills.
• 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 (Pac Bio, ONT), Epigenomics assays

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.