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Releases: dportik/Biotech-Job-Search-Engine
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Biotech Job Search Engine v1.0.0 — Initial Public Release
The first public release of Biotech Job Search Engine.
A configurable job-discovery system for biotech, genomics, bioinformatics, computational biology, data science, and adjacent life-science careers.
Highlights
- Multi-ATS job collection across a broad biotech/life-science company universe
- Support for Workday, Greenhouse, Lever, Ashby, Oracle, iCIMS, SmartRecruiters, Jobvite, ADP, SuccessFactors, UltiPro, and custom career pages
- Resume-driven user search profiles
- Transparent scoring across role, scientific/domain, technical, operating-model, and leadership fit
- Explicit seniority, mismatch, interaction, and location rules
- SQLite job-history tracking
- Ranked and new-match CSV exports
- Human calibration workbook
- Historical positive-control jobs for scoring calibration
- GitHub Actions workflow for repeat searches
- Optional email alerts for newly qualifying matches
- ChatGPT-assisted personalization workflow
- Collector/scoring regression tests
- Public setup, privacy, troubleshooting, contribution, and security documentation
Design philosophy
Collection should be reusable; ranking should be personal.
The repository contains shared job-collection infrastructure and a generic starter profile. Each user should personalize the ranking model from their own resume, goals, preferences, and calibration ratings.
This is not an auto-apply bot. It automates discovery and prioritization so users can focus on high-quality applications.
Getting started
Start with START_HERE.md or the Quick Start section in README.md.
For ChatGPT-assisted setup, upload the repository ZIP and your resume, then ask ChatGPT to follow docs/CHATGPT_SETUP.md.
Important
The public workflow is manual-only by default. Personalize config/search_profile.yml and validate a baseline run before enabling a daily schedule.
Do not commit resumes, completed calibration workbooks, generated job history, or credentials to a public repository.
License
MIT