Bioinformatician
Listed on 2026-01-14
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IT/Tech
Data Scientist, AI Engineer
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/Git Hub for version control.
● Excellent communication, problem-solving, and organizational skills.
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