
501 - 1000 employees
Founded 1978
🏥 Healthcare
💼 Consulting
🍽️ Food & Beverage
Healthcare • Consulting • Food & Beverage
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.
🔥 1 minute ago
Airflow
Assembly
Azure
Docker
ElasticSearch
ETL
Google Cloud Platform
Groovy
Java
Kubernetes
Linux
Microservices
MongoDB
MySQL
NoSQL
Perl
Python
SQL
C++
Where this job comes from
Posted on Baylor Genetics's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

501 - 1000 employees
Founded 1978
🏥 Healthcare
💼 Consulting
🍽️ Food & Beverage
Healthcare • Consulting • Food & Beverage
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.
• Design, develop, and maintain robust, scalable, and efficient software solutions for Baylor Genetics’ bioinformatic pipelines • Create and optimize data models for assembly, mapping, variant calling, and variant annotation algorithms • Develop and optimize ETL processes using APIs • Analyze and optimize SQL queries and database performance • Contribute to database schema design and review sessions • Develop interactive dashboards and automated reports using BI tools such as Azure Pipelines, Teams Power Automate, email, and Nextflow • Collaborate with data analysts, business users, clinical reviewers, laboratory personnel, and software developers to scope requirements and deliver software integrations • Integrate disparate data sources and maintain data consistency, accuracy, reliability, flexibility, and maintainability • Conduct rigorous testing and automate testing suites using pytest, doctest, and Azure Pipelines • Create comprehensive inline documentation, wikis, README files, installation instructions, implementation guidance, and trace mappings • Provide support and maintenance for developed solutions • Manage individual projects, adhere to timelines, and communicate when project scopes fluctuate • Perform other advanced job-related duties as assigned
• Bachelor’s degree in Computer Science, Software Engineering, Bioinformatics or a related field; Master’s degree preferred • Minimum of 5 years of experience in software development • Proven track record of designing and implementing scalable software solutions based on diverse user feature needs • Proven track record of implementing production ready software solutions from scratch • Deep knowledge and expertise in at least two programming languages: Python, Perl, R, Bash, Java, C++, or Groovy • Proficiency with SQL Server, NoSQL, MongoDB, MySQL, and ElasticSearch • Proficiency in Agile frameworks and CI/CD practices using Git • Object-oriented programming and standard software design practices • Experience building performant, maintainable, tested, production-ready software packages from scratch • Solid understanding and habitual practice of unit and integration testing • Proficiency designing and building APIs and microservices from scratch • Solid understanding of package management practices such as PIP and Conda • Knowledge of containerization using Docker and Singularity • Strong analytical and problem-solving skills • Ability to translate complex business needs into technical solutions and work independently • Good communication skills and flexibility to reach out to stakeholders and SMEs • Excellent interpersonal and communication skills for multidisciplinary collaboration • Ability to adapt to evolving technologies, learn new tools, and implement best practices • Experience managing individual projects and adhering to timelines • Prior experience or domain knowledge collaborating with laboratory scientists, computational biologists, or clinical reviewers is a nice-to-have • Knowledge of Azure is a bonus • Familiarity with Linux OS, HPC clusters, SLURM, Kubernetes, GCP, Azure, workflow/orchestration tools, Nextflow, Airflow, or Snakemake is a plus, but not essential
• Equal opportunity employer committed to an inclusive and diverse workforce • Equal employment opportunity protections under applicable federal, state, and local law
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