I changed careers because AlphaFold reached into my small molecular biology laboratory and proved that better tools lead to transformative outcomes. I am an avid learner who is motivated to develop tools that have a positive impact in everyday people’s lives. I’m excited to apply my biology background to software development and build practical solutions that help people. I thrive on learning new technologies, collaborating with cross-functional teams, and turning complex problems into reliable, user-friendly tools.…

Jacob Bassett

I changed careers because AlphaFold reached into my small molecular biology laboratory and proved that better tools lead to transformative outcomes. I am an avid learner who is motivated to develop tools that have a positive impact in everyday people’s lives. I’m excited to apply my biology background to software development and build practical solutions that help people. I thrive on learning new technologies, collaborating with cross-functional teams, and turning complex problems into reliable, user-friendly tools.…

Available to hire

I changed careers because AlphaFold reached into my small molecular biology laboratory and proved that better tools lead to transformative outcomes. I am an avid learner who is motivated to develop tools that have a positive impact in everyday people’s lives.

I’m excited to apply my biology background to software development and build practical solutions that help people. I thrive on learning new technologies, collaborating with cross-functional teams, and turning complex problems into reliable, user-friendly tools.

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Skills

Experience Level

JavaScript
Expert
Python
Expert
Data Visualization
Expert
SQL
Expert
Docker
Intermediate
GitHub
Intermediate
HTML5
Intermediate
Kubernetes
Intermediate
CSS
Intermediate
Django
Intermediate

Language

English
Fluent

Work Experience

Software Engineer (Remote) at Technology Advice
May 1, 2024 - October 1, 2025
Promoted from intern to Software Engineer. Built a contact query feature that automatically sources and purchases matches from third-party vendors when unavailable internally, reducing acquisition costs by approximately $11k per month. Created a microservice to generate and send AI-personalized emails and track subsequent events, increasing initial dwell time from 6% to 36% for personalized emails. Implemented low-code automation (N8N) to convert ~200k monthly web visits to leads, delivering ~3k additional leads per month. Improved contact data validity, reducing return rate by ~86%. Resolved ~20 internal support tickets monthly. Built webhooks to automate contact and company record updates from third-party vendors (≈2.5M updates monthly). Developed cron jobs for status reports and wrote unit tests to ensure robust functionality and positive user experience.
Research Associate III / Lab Manager at Institute for Systems Biology
September 1, 2014 - September 1, 2022
Started as an unpaid intern and promoted to Research Associate III and Lab Manager. Analyzed data and crafted visuals for two publications. Managed inventory and optimized resource allocation. Adhered to strict accounting practices for ~7 grants. Trained and mentored two full-time hires and one intern. Collaborated with interdisciplinary teams to design and implement experimental protocols. Designed and executed experiments for DNA synthesis, cloning, protein design, advanced protein purification, antibody production, RNA sequencing, mass spectrometry, and data analysis, among other activities.

Education

Full-Stack Web Development, Python and JavaScript at Code Fellows
October 1, 2022 - February 1, 2024
Bachelor of Science in Biotechnology, Minor in Chemistry at Utah Valley University
September 1, 2010 - April 1, 2014

Qualifications

Code Fellows Certificate - Full-Stack Web Development (Python and JavaScript)
October 1, 2022 - February 1, 2024

Industry Experience

Software & Internet, Healthcare, Life Sciences, Professional Services, Education
    paper QPeptide Finder

    QPeptide Finder is a full-stack application for quantitative proteomics that enables researchers to identify suitable quantitative peptides (QPeptides) from their protein of interest. The backend is a FastAPI service that digests proteins into peptides, computes properties like pI and hydrophobicity, evaluates each peptide against scientific criteria, ranks candidates, and stores results in MySQL via SQLAlchemy; it is containerized with Docker for deployment on an AWS EC2 instance.

    https://www.twine.net/signin