Hybrid role.
Join a pioneering team of clinicians, bioinformaticians, and software engineers defining the future of rapid clinical genomics. As a Senior Bioinformaticist, you will serve as a core computational lead responsible for scaling, hardening, and evolving our high-throughput, ultra-rapid whole genome sequencing (WGS) framework.
This role sits at the intersection of production-grade engineering, clinical practice, and cutting-edge discovery. You will work side-by-side with hospital clinicians to analyze patient genomic data directly, transforming complex computational findings into real-time clinical decisions that directly impact patient outcomes. Beyond maintaining fast, reliable production pipelines, you will drive our expanding technical roadmap: deeply integrating AI/ML workflows across genomic domains, tackling complex structural variant analysis, and building out multi-omics computational frameworks.
If you are eager to build production biocomputing systems while leveraging next-generation algorithms, and want your daily work to directly change patient lives, this position offers an extraordinary platform for growth, industry collaboration, and real-world impact.
MINMUM QUALIFICATIONS:
Master's Degree
Area of study in a field related to the position.
Experience analyzing next-gen sequencing data from raw sequencing output (BCL/FASTQ) through alignment, variant calling, annotation, and prioritization for whole genome or exome sequencing data.
Experience developing, maintaining, and troubleshooting automated bioinformatics pipelines supporting high-throughput genomic analysis in production or research environments.
Experience working with and understanding of NGS analysis tools like Dragen, BWA,, GATK, DeepVariant, Samtools, bcftools, Picard, Annovar, VEP, or similar tools.
Experience with Unix/Linux operating system and software development using any of Ruby, Python, Perl, Bash.
Experience working with large-scale computational environments, including HPC or distributed compute systems, and workflow orchestration tools (e.g., Nextflow, Snakemake, WDL, Cromwell, or similar frameworks).
PREFERRED QUALIFICATIONS:
Ph.D.
Experience in CNV and SV detection tools and interpretation of complex genomic variation.
Previous experience working in a CAP/CLIA environment.
Previous experience with cloud-based development or analysis and performing benchmarking of bioinformatics tools.
Experience applying machine learning or AI approaches to genomics, phenomics, or biomedical datasets.
Experience analyzing multi-omics datasets, including RNA-seq, long-read sequencing, transcriptomics, proteomics, or related genomic technologies.
The current salary range for this position is $52.95 to $72.81
Rady Children’s Hospital is committed to compensation that is externally competitive and internally equitable. We demonstrate this commitment by conducting regular market reviews to remain competitive with organizations of similar size in the nonprofit, healthcare sector. The range listed above does not represent the full salary range for the position but is the expected hiring range for qualified candidates. Compensation decisions consider a variety of factors including experience, education, licensure, unique skillsets, organizational need, and internal equity. This posting will remain open from the “date posted” until the hiring manager has determined there is a sufficient applicant pool or until the position is filled.
