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Bioinformatics Wdl Jobs (NOW HIRING)

Mount Sinai Medical Center

... WDL/Cromwell * Strong working knowledge of Linux system administration * Experience implementing and validating bioinformatics tools in regulated or semi-regulated environments Employer ...

Servier

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

Role Summary We are searching for a talented bioinformatics Scientist to join our Data Science team ... Analysis workflow development (WDL / CWL / Nextflow). * New method implementation and assessment ...

Velsera

Domain depth in scientific or biomedical data platforms -- genomics, bioinformatics, life sciences ... CWL/WDL/Nextflow, GA4GH standards (DRS/WES), FHIR or OMOP. * Federated or cross-institutional data ...

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Bioinformatics Wdl information

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$59.5K

$94.5K

$149.5K

How much do bioinformatics wdl jobs pay per year?

As of Sep 13, 2026, the average yearly pay for bioinformatics wdl in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a bioinformatics WDL?

A Bioinformatics WDL refers to the use of the Workflow Description Language (WDL) in bioinformatics to describe data analysis workflows. WDL is a specialized language designed to make it easier to write, share, and execute scientific workflows, particularly in genomics and other biological research. Bioinformatics professionals use WDL to automate complex analyses, ensuring reproducibility and scalability across different computing environments. Typical tasks include processing sequencing data, variant calling, and integrating results from various tools. Using WDL helps standardize bioinformatics pipelines and supports collaboration between researchers.

What are the key skills and qualifications needed to thrive as a bioinformatics WDL specialist?

To thrive as a Bioinformatics WDL specialist, you need a solid background in bioinformatics, scripting languages (such as Python or Bash), and experience with WDL for workflow development, typically supported by a relevant degree. Familiarity with workflow management systems like Cromwell, cloud platforms (e.g., Google Cloud or AWS), and version control tools (like Git) is commonly required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for translating complex biological problems into reproducible computational workflows. These skills and qualities are crucial for ensuring robust, scalable, and reproducible analysis pipelines in collaborative research and clinical environments.

How does a bioinformatics WDL specialist typically collaborate with biologists and software engineers during project development?

Bioinformatics WDL specialists play a crucial role as liaisons between biologists, who define the scientific objectives, and software engineers, who optimize computational processes. They translate biological workflows into reproducible, automated pipelines using Workflow Description Language (WDL), ensuring computational tasks are scalable and robust. Regular meetings and clear documentation are essential, as specialists often gather biological requirements, design workflows, and coordinate with engineers to deploy them on cloud or HPC environments. This collaborative approach ensures that scientific goals are met efficiently and that pipelines are maintainable and reproducible.

What is the difference between Bioinformatics Wdl vs Bioinformatics Analyst?

AspectBioinformatics WdlBioinformatics Analyst
Required CredentialsBachelor's/Master's in Bioinformatics, Computer Science, or related field; familiarity with WdlBachelor's/Master's in Bioinformatics, Biology, or related field; experience with data analysis
Work EnvironmentResearch labs, biotech companies, or academic institutions using workflow managementData analysis teams, research institutions, healthcare organizations
Employer & Industry UsagePrimarily in genomics, biotech, and research projects involving workflow automationInvolved in interpreting biological data, reporting, and supporting research decisions

While Bioinformatics Wdl focuses on developing and managing bioinformatics workflows using Wdl, Bioinformatics Analysts primarily analyze biological data and interpret results. Both roles require strong bioinformatics skills, but Wdl specialists emphasize workflow automation, whereas analysts focus on data interpretation and reporting.

What other helpful pages are available for Bioinformatics Wdl?

Other pages related to Bioinformatics Wdl:

Infographic showing various Bioinformatics Wdl job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Senior Bioinformaticist - Information Services - Genomics (Hybrid)

San Diego, CA • On-site

Rady Children's Hospital-San Diego
Hospitals • 5 - 10K employees
Learn more about Rady Children's Hospital-San Diegoexternal

$52.95 - $72.81/hr

Full-time

Posted 29 days ago

Key responsibilities

  • Serve as a core computational lead responsible for scaling, hardening, and evolving high-throughput, ultra-rapid whole genome sequencing (WGS) frameworks.

  • Work side-by-side with hospital clinicians to analyze patient genomic data and transform computational findings into real-time clinical decisions.

  • Drive the technical roadmap by integrating AI/ML workflows, tackling complex structural variant analysis, and building multi-omics computational frameworks.

Rady Children's Hospital rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

Job description

Hybrid role.
JOB SUMMARY:
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.

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