Aaron Friedman
Director, Software Product Management at Illumina
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolAaron Friedman is a product leader who bridges science, data, and software to deliver cloud-native platforms for genomics and life sciences, currently directing Software, Data, and Analytics product strategy at Illumina. He led the conception, launch, and scale of AWS HealthOmics and previously built global healthcare and life sciences solutions and startup enablement teams at AWS, translating complex bioinformatics needs into production-ready services used by organizations like Natera and Merck. Earlier, as the first technical hire at Human Longevity, he architected the company’s genomic annotation engine and helped define its cloud strategy, drawing on a PhD in Biomedical Sciences and hands-on computational chemistry experience. Colleagues describe him as a pragmatic builder who moves fluidly between product vision, technical architecture, and customer-facing execution, with a particular knack for making omics tools usable by both computational bioinformaticians and wet-lab scientists. He balances deep domain expertise with a track record of shipping high-impact, regulated bioinformatics products at scale.
10 years of coding experience
7 years of employment as a software developer
University of California, San DiegoBachelor of Science (B.S.) Biomedical Engineering, Bachelor of Science (B.S.) Biomedical Engineering at Washington University in St. Louis
English
Stackoverflow
96reputation
4kreached
1answer
0questions
Github Skills (36)
sequencing10
aws-step-functions10
aws-batch10
genomics9
step-functions9
batch8
aws8
aws-cdk7
ubuntu7
aws-glue7
sles7
literate-programming6
mountpoint6
aws-ebs6
roxygen6
Programming languages (8)
Github contributions (5)
ajfriedman18/aws-genomics-workflows
May 2021 - Nov 2021
Genomics Workflows on AWS
Contributions:12 pushes, 4 branches in 5 months
pipelinegenomicsawsworkflowsworkflow
aws-samples/aws-batch-genomics
May 2017 - Aug 2017
Software sets up and runs an genome sequencing analysis workflow using AWS Batch and AWS Step Functions.
Contributions:24 commits, 4 PRs, 18 pushes in 2 months
aws-batchaws-step-functionssequencing
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