# Michael R. Martyn III > Software Engineer & Bioinformatician Location: San Francisco Bay Area, United States Profile: https://flows.cv/michaelrmartyniii Tri-national passionate about running, health, and sustainability. Worked on all things data and web apps @ Impossible Foods & Zymergen - developed software tools to solve scientists needs, whether that be automated analysis pipelines, structured data, web apps, or data visualisations. Previously worked as an experimental scientist, gaining experience with experience in DNA assembly, genomics, and genome engineering. Consistently worked at the intersection of biology and software within highly interdisciplinary groups at Impossible Foods (R&D), Zymergen (R&D), and Newcastle University. ## Work Experience ### Senior Software Engineer @ Profluent Bio Jan 2024 – Present | San Francisco Bay Area Interdisciplinary software engineer bridging laboratory science and machine learning, building scalable data infrastructure that enables scientists and ML engineers to accelerate research workflows Software - Designed and built core full-stack architecture for internal LIMS platform leveraging GCP services (Cloud Run, Cloud Storage, etc), Django REST framework, and PostgreSQL, establishing scalable foundation for laboratory data management. App provides single source of truth for all data and an easy UI for scientists and ML engineers to interface with Data eng - Engineered automated data pipelines by integrating APIs from external sequencing vendors (Illumina + Nanopore) and implementing bidirectional data synchronization between on-prem lab instruments and our internal LIMS / Benchling. All systems are deployed using infrastructure-as-code. (Terraform) and instrumented with traces & alerts using OpenTelemetry (OTel) Bioinformatics - Developed and maintain bioinformatics analysis pipelines for NGS data processing, variant calling, and quality control, implementing containerized workflows using Docker and orchestration tools for reproducible computational research ### Software Engineer @ Impossible Foods Jan 2021 – Jan 2023 | San Francisco Bay Area Early software engineer who built Impossible Foods' first centralized data platform and established software engineering practices for the data science team Software - Designed and built Impossible Foods' first centralized data management system, replacing isolated spreadsheets with a containerized Django app on Cloud Run + MySQL. Created simple web UI for scientists to enter data and upload files, plus API endpoints for programmatic access and third-party integration. Transition to structured data increased reliability and enabled cross-functional teams to readily search and visualize their data Data eng - Engineered Google Cloud ETL pipelines using Cloud Functions, Cloud Pub/Sub, Cloud Scheduler, and Dataproc to automate data ingestion and processing workflows across the organization Mentorship - Laid software best practices foundation for the software-data science team by creating documentation, establishing pair coding sessions, and implementing code review processes. Balanced activation energy and potential return of each best practice to generate viable implementation plans suited for a small startup team Bioinformatics - Performed bioinformatics analysis of internal strains (whole genome assembly & variant calling) and contributed bioinformatic analysis for regulatory approval in global markets ### Bioinformatics Engineer @ Zymergen, Inc. Jan 2019 – Jan 2021 | Emeryville, California, United States 100% software. Transitioned to the Software team. Tasks included: - Wrote tested production code (linted, tested, and well documented code) - Coded in Python (Flask) and Javascript (React) - Experience with infrastructure as code using Terraform - Containerised bioinformatics workflows then uploaded to AWS ECR to run pipelines on AWS Batch - Created API endpoints and dashboard - Contributed to software documentation and tests ### Research Associate III @ Zymergen, Inc. Jan 2017 – Jan 2019 | San Francisco Bay Area 50% software / 50% lab-based R&D work - based on the R&D team - lead bioinformatician for a metagenomics project to identify high-value proteins from one of the worlds largest proprietary metagenomic database - software was mainly Python based and bioinformatics using bash / AWS - wet-lab was high-throughput synthetic biology using lab automation equipment (Tecan, Echo, etc) ### Research Assistant - School of Computing Science @ Newcastle University Jan 2016 – Jan 2016 | Newcastle upon Tyne, United Kingdom As a member of the Interdisciplinary Computing and Complex BioSystems (ICOS) research group, I worked on the EPSRC-funded Newcastle University Frontiers in Engineering Biology (NUFEB) project. The NUFEB project aims to engineer wastewater microbial communities for enhanced micro-pollutant degradation. I contributed to the project both within the lab and software based, with my main contribution being the development, and in vivo validation, of a Python toolkit to aid the genetic engineering of bacterial communities via a multiplex CRISPR-Cas9 approach. ### Adviser - 2016 International Genetically Engineered Machines (iGEM) competition @ Newcastle University Jan 2016 – Jan 2016 | Newcastle upon Tyne, United Kingdom First Masters student at Newcastle University to be appointed an Adviser to the Newcastle University iGEM team during the annual international Synthetic Biology competition for collegiate students. During the project, I mentored the team on in silico modelling, biological part design and documentation best practices. ## Education ### Master of Science (MSc) in Synthetic Biology Newcastle University Jan 2015 – Jan 2016 ### Graduate Certificate in Machine Learning University of San Francisco Jan 2018 – Jan 2018 ### Bachelor of Science (BSc) (Hons) in Cellular and Molecular Biology Newcastle University Jan 2012 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/mrmartyn - Website: https://www.mmartyn.com --- Source: https://flows.cv/michaelrmartyniii JSON Resume: https://flows.cv/michaelrmartyniii/resume.json Last updated: 2026-03-23