Bioinformatics Engineer (Only for Women)
Company Description
Greetings from Saira Jobs!
We are currently recruiting for a 'Bioinformatics Engineer' on behalf of our partner. Explore the opportunity below and apply today if you meet the qualifications!
Job Description
We are seeking a highly skilled Bioinformatics Engineer with strong expertise in Nextfl ow and 4+ years of relevant experience to design, develop, and maintain scalable genomics pipelines. This role will focus on building robust, reproducible, and high-performance workfl ows to support large-scale genomic data analysis in research and production environments.
Key Responsibilities:
Design, develop, and optimize genomics workfl ows using Nextfl ow
Build, deploy, and maintain pipelines for NGS data analysis, including WGS, WES, RNA-Seq, and related applications
Integrate workfl ows with cloud platforms and high-performance computing (HPC) environments
Ensure reproducibility, scalability, reliability, and performance of analytical pipelines
Collaborate closely with bioinformatics, data science, and research teams to support project requirements
Troubleshoot, debug, and optimize workfl ow execution and performance issues
Develop and maintain technical documentation and workflow best practices
Implement quality control, validation, and version control standards for pipelines
Qualifications
Minimum 3+ years of experience in bioinformatics, computational biology, or related fi elds
Strong hands-on experience in developing and maintaining workfl ows using Nextfl ow
Solid understanding of genomics and NGS data analysis methodologies
Profi ciency in Linux/Unix environments and scripting using Bash and/or Python
Working knowledge of version control systems and CI/CD practices (Git, GitHub/GitLab)
Familiarity with container technologies such as Docker and Singularity
Experience working with cloud platforms (AWS, GCP, Azure) and/or HPC systems
Experience managing and analyzing large-scale genomic datasets
Experience in building interactive dashboards for downstream analytics using R Shiny, Python (Streamlit), React, or similar platforms
Exposure to nf-core pipelines and best practices
Knowledge of alternative workfl ow languages such as CWL and WDL
Prior experience in clinical, regulated, or production genomics environments is a plus
Additional Information