Software Engineer, Knowledge Informatics

Baylor Genetics

Data/software engineer at Baylor Genetics developing and maintaining genetic knowledgebases. Collaborating with cross-functional teams to enhance clinical diagnostics workflows in a dynamic environment.

Posted 4/26/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Implementation and execution of data ETL, management and engineering.
Development of user interfaces for curation and data maintenance tools based on user requirements.
Enhance data and knowledge processing effectiveness and efficiency, and improve workflows for internal data analysis, interpretation, and clinical report writing in daily production clinical operations.
Implementation of data models and software frameworks to effectively store and process data, information, and clinical insights.
Monitor database performance and proactively optimize queries and processes for improved efficiency.
Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals.

Requirements

What you’ll need

Education: Bachelor of Science degree in computer science, a comparable program, or an equivalent qualification, with 3+ years of comprehensive experience in related field.
Experience in Python, R, or C++.
Experience in data ETL, data management, and data sharing for genomic and clinical applications, especially for next generation human sequencing data.
Knowledgeable of database management systems in SQL database.
Understanding of database architecture, design, and optimization.
DevOps experience such as unit testing, CI/CD is a plus.
Excellent problem-solving and troubleshooting skills.
Strong communication and collaboration skills.
Ability to work in a fast-paced, dynamic environment.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Baylor Genetics Website LinkedIn All Job Openings 501 - 1000 employees Founded 1978 🧬 Biotechnology 🔬 Science Biotechnology
Science Baylor Genetics is a clinical genomics and precision diagnostics laboratory affiliated with Baylor College of Medicine that provides comprehensive genetic testing and interpretation services. The company offers whole genome and whole exome sequencing, chromosomal microarray analysis, mitochondrial testing, pharmacogenomics, and specialized assays, along with genetic counseling, provider support, and insurance/payment resources. Baylor Genetics supports healthcare providers, researchers, and families with AI-enhanced interpretation, multimodal data integration, and end-to-end clinical and laboratory services. Software Engineer, Knowledge Informatics 🔥 17 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧑‍💻 Full-stack Engineer ETL Python SQL Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Implementation and execution of data ETL, management and engineering.
Development of user interfaces for curation and data maintenance tools based on user requirements.
Enhance data and knowledge processing effectiveness and efficiency, and improve workflows for internal data analysis, interpretation, and clinical report writing in daily production clinical operations.
Implementation of data models and software frameworks to effectively store and process data, information, and clinical insights.
Monitor database performance and proactively optimize queries and processes for improved efficiency.
Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals. 🎯 Requirements
Education: Bachelor of Science degree in computer science, a comparable program, or an equivalent qualification, with 3+ years of comprehensive experience in related field.
Experience in Python, R, or C++.
Experience in data ETL, data management, and data sharing for genomic and clinical applications, especially for next generation human sequencing data.
Knowledgeable of database management systems in SQL database.
Understanding of database architecture, design, and optimization.
DevOps experience such as unit testing, CI/CD is a plus.
Excellent problem-solving and troubleshooting skills.
Strong communication and collaboration skills.
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Hard Skills & Tools

PythonRC++data ETLdata managementSQLdatabase architecturedatabase designdatabase optimizationunit testing

Soft Skills

problem-solvingtroubleshootingcommunicationcollaborationability to work in fast-paced environment

Certifications

Bachelor of Science degree in computer science