Position Details
Bioinformatician Level Ii Apply
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.
Role: Bioinformatician (Level II) (Contract W2 Role)
Location: Hybrid South San Francisco (1 day onsite / 4 days remote)
Position Overview
Location: Hybrid South San Francisco (1 day onsite / 4 days remote)
Position Overview
- 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 ollaborate 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
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:
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.
