Senior Bioinformatics Software Engineer

Baylor Genetics

. Design, develop, and maintain robust, scalable, and efficient software solutions for Baylor Genetics’ bioinformatic pipelines .

Posted 11/6/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable software solutions, with a strong focus on bioinformatics pipelines and data integration. Proficient in programming languages such as Python and SQL, with a solid understanding of Agile methodologies and CI/CD practices.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyETL Process DevelopmentAPI Design and DevelopmentAgile Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData ModelingDatabase Performance OptimizationUnit TestingIntegration TestingObject-Oriented ProgrammingMicroservices ArchitectureContainerizationBioinformatics AlgorithmsAutomated Reporting

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsInterpersonal SkillsProject Management

Tools & Technologies

Azure PipelinesGitDockerMongoDBMySQLElasticSearchNextflowLinux OSHPC ClustersKubernetes

Industry Keywords

BioinformaticsData IntegrationSoftware SolutionsClinical ReviewLaboratory Collaboration

Tech Stack

Tools & technologies

AirflowAssemblyAzureDockerElasticSearchETLGoogle Cloud PlatformGroovyJavaKubernetesLinuxMicroservicesMongoDBMySQLNoSQLPerlPythonSQLC++

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Equal opportunity employer committed to an inclusive and diverse workforce
Equal employment opportunity protections under applicable federal, state, and local law