Bioinformatics DevOps Engineer/Developer - Advanced Molecular Detection

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Job Overview

WiredPeople, Inc. is seeking a skilled Bioinformatics DevOps Engineer/Developer to support its Advanced Molecular Detection initiatives. The successful candidate will focus on the integration of bioinformatic tools and algorithms within a DevOps framework to enhance the scalability and reliability of our molecular data processing workflows. This role requires collaboration with bioinformaticians, software developers, and researchers to implement best practices in automation, continuous integration/continuous deployment (CI/CD), and data analysis, thereby facilitating rapid advancements in molecular detection methodologies.

Job Responsibilities

• Develop, maintain, and optimize bioinformatics pipelines for molecular detection using DevOps practices.
• Automate the deployment of bioinformatics tools and ensure efficient processing of large-scale datasets.
• Collaborate with cross-functional teams to gather requirements and implement solutions for bioinformatics challenges.
• Monitor system performance and troubleshoot bioinformatics applications to ensure high reliability.
• Contribute to the development of documentation and training materials for end-users on bioinformatics solutions.
• Implement best practices for version control, code testing, and software development methodologies.

Qualifications

• Bachelor’s or Master’s degree in Bioinformatics, Computer Science, or a related field.
• Proficiency in bioinformatics programming languages such as Python, R, or Perl.
• Experience with cloud platforms (e.g., AWS, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Strong understanding of data pipeline architecture and ETL processes.
• Familiarity with CI/CD tools and practices.
• Knowledge of molecular biology and bioinformatics analysis methods is preferred.

Technologies & Tools

The Bioinformatics DevOps Engineer/Developer will work with a range of technologies and tools including cloud computing services (AWS, Google Cloud Platform), container orchestration (Kubernetes), and configuration management tools (Ansible, Terraform). Familiarity with version control systems like Git, CI/CD tools such as Jenkins or GitLab CI, as well as bioinformatics software packages and libraries (e.g., Bioconductor, BioPython) will also be essential for this position.

Ideal Candidates

Ideal candidates for this role will be detail-oriented individuals with strong analytical skills and a passion for innovation in bioinformatics and biotechnology. They should demonstrate excellent problem-solving abilities, possess effective communication skills for collaborating with diverse teams, and show eagerness to learn and adapt to new technologies in a fast-paced environment. An aptitude for managing multiple projects and tasks efficiently while maintaining high-quality standards will be key to excelling in this position.