Bioinformatics Engineer (Only for Women)

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!

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

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