Senior Bioinformatics Developer
New
Based in United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- Minimum of 4 years
- Required Skills
- DockerPythonData AnalysisGitLinux
Requirements
- Bachelor’s degree in Bioinformatics, Computational Biology, Computer Science, or a related field (advanced degrees are a plus).
- Proven experience developing bioinformatics algorithms and building genomic data processing pipelines.
- Strong programming skills in Python, with experience using additional scripting languages such as Perl considered an advantage.
- Solid understanding of genomics, genetics, molecular biology, and biological data analysis.
- Experience working with databases, data management, and data integration techniques.
- Familiarity with version control systems such as Git and containerization technologies such as Docker.
- Minimum of 4 years of professional experience working in Linux environments.
- Strong problem-solving abilities and ability to work effectively in collaborative, interdisciplinary teams.
- Excellent written and verbal English communication skills.
- Ability to independently manage technical challenges while contributing positively to team objectives.
Responsibilities
- Build, maintain, and improve pipelines for genomic variant analysis using modern workflow orchestration and pipeline management tools.
- Develop scalable, reproducible, and reliable bioinformatics workflows following best practices in data analysis and software engineering.
- Design and implement robust tools for analyzing genomic datasets and supporting advanced computational biology applications.
- Optimize existing bioinformatics code and pipelines to improve performance, efficiency, and scalability.
- Ensure data processing workflows are maintainable, accurate, and suitable for production environments.
- Collaborate with scientists, engineers, and interdisciplinary teams to translate biological challenges into effective technical solutions.
- Contribute to the continuous improvement of bioinformatics platforms, analysis methods, and development practices.
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