5 часов назад
Sr Bioinformatics Software Engineer (Bioinformatics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Bioinformatics Software Engineer (Bioinformatics): Designing and maintaining scalable software solutions for bioinformatics pipelines with an accent on data modeling, ETL, APIs, databases, and production-ready testing. Focus on optimizing genomic data workflows for assembly, mapping, variant calling, and annotation while building maintainable integrations, microservices, and automation.
Location: Remote, United States
Company
develops and supports genetic testing and bioinformatics solutions.
What you will do
- Design, develop, and maintain scalable software solutions for bioinformatics pipelines.
- Create and optimize data models and computational algorithms for assembly, mapping, variant calling, and variant annotation.
- Build and optimize ETL processes, APIs, database schemas, SQL queries, dashboards, and automated reports.
- Integrate data from disparate sources while maintaining accuracy, reliability, flexibility, and low code debt.
- Automate quality assurance through unit, integration, and testing suites using tools such as pytest, doctest, and Azure Pipelines.
- Collaborate with data analysts, business users, clinical reviewers, laboratory personnel, and software developers to deliver integrations.
Requirements
- Must be based in the United States and work remotely.
- Bachelor’s degree in Computer Science, Software Engineering, Bioinformatics, or a related field; a master’s degree is preferred.
- At least five years of software development experience, including implementing production-ready software solutions from scratch.
- Deep expertise in at least two programming languages, including Python, Perl, R, Bash, Java, C++, or Groovy.
- Proficiency with SQL Server, NoSQL, MongoDB, MySQL, Elasticsearch, API and microservice development, object-oriented programming, Git, and CI/CD.
- Experience with Linux, package management, containerization, unit and integration testing, documentation, and maintainable software design.
Nice to have
- Experience collaborating with laboratory scientists, computational biologists, or clinical reviewers.
- Knowledge of Azure, HPC clusters, SLURM, Kubernetes, GCP, workflow orchestration tools, Nextflow, Airflow, or Snakemake.
Culture & Benefits
- Remote full-time work environment.
- Collaboration across multidisciplinary teams and regular engagement with stakeholders and subject-matter experts.
- Emphasis on best practices, constructive feedback, maintainability, documentation, and continuous learning.
- Equal-opportunity workplace focused on an inclusive and diverse workforce.
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