Nathan Hammond is a results-driven bioinformatician and software engineer with 12+ years delivering cloud-native pipelines, full-stack analytics, and clinical diagnostics tools in biotech and healthcare. Based in San Francisco, he has led multi-disciplinary teams at Stanford Health Care and Takara Bio USA, building user-friendly RNA-Seq analysis platforms and shaping cloud infrastructure, CI/CD, and deployment workflows across AWS, GCP, Terraform, Kubernetes, and Nextflow. He co-created and led the Loom bioinformatics pipeline framework and has hands-on experience with LIMS, REST APIs, Docker, Cromwell, and mature pipelines for PacBio long-read data and whole-genome diagnostics. His work includes validating gene panels for inherited diseases, presenting at ASHG, and bridging wet-lab needs with scalable software solutions. Nathan holds a PhD in Mechanical Engineering with Bioengineering from MIT, underscoring a strong foundation at the intersection of biology, engineering, and software.
12 years of coding experience
12 years of employment as a software developer
PhD Mechanical Engineering Bioengineering, PhD Mechanical Engineering Bioengineering at Massachusetts Institute of Technology
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Contributions:1 PR, 28 pushes, 6 branches in 21 days
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