Bioinformatics Consultant
Current– Created, enhanced, or maintained various software and infrastructure projects for bioinformatics data analysis in the cloud (AWS, GCP)
Apr 2023 - Present
AeroLeads people directory · profile
Nathan Hammond Email & Phone Number
Bioinformatics Scientist, Software Developer, Technical Lead
at
Influx Bio
1 work email found
@stanfordhealthcare.org
7 phones found area 617, 765, 435, and 208
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Bioinformatics Scientist, Software Developer, Technical Lead
Location
San Francisco Bay Area, United States
Who is Nathan Hammond? Overview
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Quick answer
Nathan Hammond is listed as Bioinformatics Scientist, Software Developer, Technical Lead at Influx Bio, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at stanfordhealthcare.org, phone signal with area code 617, 765, 435, 208, and a matched LinkedIn profile for Nathan Hammond.
Nathan Hammond previously worked as Bioinformatics Consultant at Influx Bio and Bioinformatics Engineering Group Leader at Takara Bio Usa, Inc.. Nathan Hammond holds Phd, Mechanical Engineering, Bioengineering from Massachusetts Institute Of Technology.
Company email context
Email format at Influx Bio
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{first_initial}{last}@stanfordhealthcare.org
86% confidence
AeroLeads found 1 current-domain work email signal for Nathan Hammond. Compare company email patterns before reaching out.
Profile bio
About Nathan Hammond
I am a results-oriented bioinformatician and software engineer experienced in NGS data analysis, full-stack development, managing cloud infrastructure, and leading technical teams.
Listed skills include Matlab, Linux, Bioinformatics, Python, and 19 others.
Current workplace
Nathan Hammond's current company
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10 roles
Nathan Hammond work experience
A career timeline built from the work history available for this profile.
Bioinformatics Engineering Group Leader
– Led a team to design and build a user-friendly web application that supports bulk and single-cell RNA-Seq NGS data analysis by lab personnel (Django, React, Nextflow)– Created and maintained cloud infrastructure for bioinformatics projects (AWS, VPC, ECS, Batch)– Established CI/CD tools and procedures for deployment of cloud infrastructure and applications (Terraform, GitHub Actions, AWS CodePipeline)
May 2023 - Sep 2024
Principal Scientist, Bioinformatics
– Led a team responsible for development and maintenance of bioinformatics pipelines (Python, Cromwell, Docker), LIMS (Django, RESTful API’s, Angular, SQL, ORM), and cloud infrastructure (Google Cloud Platform, Kubernetes)– Validated and launched a clinical diagnostic gene panel for inherited kidney disease– Created a pipeline for long-read PacBio data (minimap2, DeepVariant), presented at ASHG 2022– Wrote and maintained technical documentation for CAP regulatory compliance
Sep 2021 - May 2023
Senior Staff Scientist, Bioinformatics
– Led a team to build, validate, and launch a pipeline for whole-genome clinical diagnostic testing (Python, Cromwell, Docker, DRAGEN, PLINK), presented at ASHG 2021
Feb 2021 - Sep 2021
Interim Director Of Bioinformatics, Clinical Genomics Program
– Hiring and personnel management for a team of 5-8 scientists and engineers– Led development, validation, and launch of 6 gene panels for inherited cardiovascular disease
Oct 2019 - Feb 2021
Senior Scientist, Bioinformatics
– Lead developer for Loom, a bioinformatics pipeline framework (Google Cloud Platform, Python, Django, RESTful API’s, Angular, SQL, ORM)– Supported bioinformatics pipeline development (Loom, BWA, GATK, picard), for initial launch of a clinical exome diagnostic test
Jul 2016 - Oct 2019
Senior Software Engineer, Bioinformatics
– Initial development of the Loom bioinformatics pipeline framework (continued at Stanford Health Care)
Apr 2015 - Jun 2016
Software Engineer, Bioinformatics
– Developed and maintained NGS data pipelines (Python, HPC, Slurm, BWA, GATK)– LIMS maintenance and upgrades (Ruby on Rails, SQL, ORM)
Mar 2013 - Apr 2015
Web Developer
– Launched a scientific manuscript editing service, serving customers in 3 countries– Created a website (Python, Django) to manage business workflows
Oct 2012 - Oct 2013
Computational Biology Quality Engineer
– Wrote automated tests (Java, MATLAB) for the Bioinformatics Toolbox (Next-Generation Sequencing data analysis and visualization) and SimBiology (Pharmacokinetics/Pharmacodynamics modeling)
May 2011 - May 2012
3 education records
Nathan Hammond education
Phd, Mechanical Engineering, Bioengineering
Massachusetts Institute Of Technology
Ms, Biomedical Engineering
Purdue University
Bs, Mechanical Engineering
Utah State University
FAQ
Frequently asked questions about Nathan Hammond
Quick answers generated from the profile data available on this page.
What company does Nathan Hammond work for?
Nathan Hammond works for Influx Bio.
What is Nathan Hammond's role at Influx Bio?
Nathan Hammond is listed as Bioinformatics Scientist, Software Developer, Technical Lead at Influx Bio.
What is Nathan Hammond's email address?
AeroLeads has found 1 work email signal at @stanfordhealthcare.org for Nathan Hammond at Influx Bio.
What is Nathan Hammond's phone number?
AeroLeads has found 7 phone signal(s) with area code 617, 765, 435, 208 for Nathan Hammond at Influx Bio.
Where is Nathan Hammond based?
Nathan Hammond is based in San Francisco Bay Area, United States while working with Influx Bio.
What companies has Nathan Hammond worked for?
Nathan Hammond has worked for Influx Bio, Takara Bio Usa, Inc., Stanford Health Care, Stanford University, and Science Writing Experts.
How can I contact Nathan Hammond?
You can use AeroLeads to view verified contact signals for Nathan Hammond at Influx Bio, including work email, phone, and LinkedIn data when available.
What schools did Nathan Hammond attend?
Nathan Hammond holds Phd, Mechanical Engineering, Bioengineering from Massachusetts Institute Of Technology.
What skills is Nathan Hammond known for?
Nathan Hammond is listed with skills including Matlab, Linux, Bioinformatics, Python, Java, Biomedical Engineering, Machine Learning, and C.
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