Senior Data Scientist, Brain Tumor Insitute

The Brain Tumor Institute (BTI) Bioinformatics Core at Children’s National Hospital is seeking a highly skilled Senior Bioinformatics Scientist/Engineer to join our team. This position will play a critical role in advancing research of multiple PIs focused on uncovering oncogenic mechanisms in pediatric brain tumors and identifying novel therapeutic targets. The Senior Bioinformatics Scientist will engage in basic and translational research projects and contribute to tool development, such as interactive applications for visualizing complex genomic data.

The role involves close collaboration with researchers and clinicians within both Children’s National as well as external partners. The successful candidate will report to the Director of the BTI Bioinformatics Core and lead workflow creation and implementation using CWL and/or NextFlow, benchmark new core pipelines, contribute bioinformatics analyses to focused projects based on PI needs, participate in collaborative activities in the BTI such as code review and/or workshop training, and contribute to grant applications and scientific manuscripts.  In addition, this candidate will support core engineering needs such as database/API/UI development and automation.

Key Responsibilities:

●     Collaborate with bioinformatics scientists and PIs to benchmark and optimize new production-scale analysis pipelines and workflows to generate high quality and high data integrity outputs.

●     Support project-specific engineering needs, such as database/API/UI development.

●     Collaborate with IT to ensure AWS IAM and bucket security and optimize resource use.

●     Create and maintain clear documentation for data engineering workflows, including codebases, data pipelines, validation, testing, and CI/CD processes.

●     Perform high-quality bioinformatics analyses on pediatric oncology datasets, including genomic, transcriptomic, and epigenomic data.

●     Design and implement downstream analytical workflows for high-throughput data using GitHub, Docker, and AWS infrastructure, focusing on reproducibility, code efficiency, and scalability.

●     Utilize cloud-computing environments (e.g., AWS EC2) and/or high-performance computing (HPC) to support large-scale or memory-intensive analyses.

●     Actively and positively participate in sprints and code reviews, ensuring high standards for reproducibility and documentation.

●     Engage with multidisciplinary teams, providing bioinformatics expertise to support collaborative research initiatives.

Application Process:

This position will be remote. Candidates should be prepared to share their GitHub handle and present a recent project as part of the interview process.

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