Sr Bioinformatics Software Engineer (Bioinformatics)

Location: Hybrid in Houston, Texas, USA — 2450 Holcombe Blvd, Houston, TX 77021

Company

hirify.global develops and supports genomic and bioinformatics solutions for laboratory and clinical workflows.

What you will do

• Design, develop, and maintain scalable software solutions for bioinformatics pipelines.
• Create and optimize data models for genomic assembly, mapping, variant calling, and variant annotation.
• Build and optimize API-based ETL processes and integrate data from disparate sources.
• Optimize SQL queries, database schemas, and overall database performance.
• Build dashboards, automated reports, integrations, and workflow solutions using tools such as Azure Pipelines, Power Automate, Teams, email, and Nextflow.
• Test, document, maintain, and support production-ready software while collaborating with analysts, business users, clinical reviewers, laboratory personnel, and developers.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Bioinformatics, or a related field; a master’s degree is preferred.
• At least 5 years of software development experience, including implementing scalable, production-ready solutions from scratch.
• Deep expertise in at least two programming languages, including Python, Perl, R, or Bash; Java, C++, and Groovy are also considered.
• Strong experience with SQL and database technologies such as SQL Server, NoSQL, MongoDB, MySQL, and Elasticsearch.
• Experience with object-oriented programming, software design, unit and integration testing, Git, Agile development, CI/CD, APIs, and microservices.
• Knowledge of Linux, package management, containerization, and workflow orchestration; familiarity with HPC clusters is beneficial.

Nice to have

• Experience collaborating with laboratory scientists, computational biologists, or clinical reviewers.
• Knowledge of Azure, SLURM, Kubernetes, GCP, Nextflow, Airflow, or Snakemake.

Culture & Benefits

• Hybrid work environment in Houston, Texas.
• Collaboration with multidisciplinary teams across data, clinical, laboratory, and software functions.
• Work focused on maintainable, well-documented, and production-ready software.
• Equal opportunity workplace committed to an inclusive and diverse workforce.