Kevin Sayers
Research Scientist - WWPS Data And Machine Learning
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolKevin Sayers is a research scientist and cloud-focused bioinformatics engineer with 11 years of experience building and optimizing HPC and workflow-driven genomics pipelines. Currently on AWS Professional Services, he helps customers run Nextflow, Snakemake and CWL workflows at scale using Batch, ParallelCluster, FSx for Lustre and HealthOmics, with IaC via Terraform and CDK. His background spans national labs and international bioinformatics institutes where he led multidisciplinary teams to enable data transfer, reproducible analysis, and efficient use of Top500 HPC systems. An active technical writer for marquee open-source workflow projects (Nextflow and Snakemake), he improves documentation around container engines, Kubernetes integration and AWS S3 remote access—bridging developer experience and production deployment. Based in Denver, he combines hands-on Python and container expertise with a formal bioinformatics education, and a practical history of translating wet-lab proteomics needs into automated, cloud-ready pipelines.
11 years of coding experience
8 years of employment as a software developer
Master's degree, Bioinformatics, Master's degree, Bioinformatics at Universitat Autònoma de BarcelonaUMBC
Github Skills (15)
rep10
workflow-management10
snakemake10
aws-cli10
repr10
nextflow10
documentation10
singularity10
dockers9
docker9
aws8
kubernetes-pods7
kubernetes7
groovy4
python3
Programming languages (7)
Github contributions (5)
nextflow-io/nextflow
Aug 2017 - May 2020
A DSL for data-driven computational pipelines
Role in this project:
Technical Writer
Technical WriterContributions:14 commits, 23 PRs, 29 comments in 2 years 9 months
Contributions summary:Kevin primarily focused on updating and maintaining the documentation for the Nextflow project. Their contributions included updating existing documentation files, such as `awscloud.rst`, `singularity.rst`, and `faq.rst`. They also corrected broken links and added new documentation elements related to features like container engines and the Kubernetes integration, demonstrating a commitment to improving the clarity and accuracy of the project's documentation.
singularity-containersbioinformaticsawsdataflowslurm
snakemake/snakemake
Nov 2017 - Nov 2017
This is the development home of the workflow management system Snakemake. For general information, see
Role in this project:Technical Writer
Technical WriterContributions:5 commits in 3 days
Contributions summary:Kevin primarily contributed to updating documentation related to remote file access in Snakemake, specifically detailing the integration with AWS S3. The commits focused on explaining how to configure AWS CLI keys and the use of AWS CLI with Snakemake. The user updated existing documentation and clarified the steps needed for enabling the AWS CLI setup.
management-systemworkflow-management-systemgeneral-informationreproducibilitysnakemake
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