Sr Bioinformatics Scientist
Children's NationalWashington, District of Columbia, United States
Posted December 4, 2025
Full Time
About the Company
Children's National Hospital, based in Washington, D.C., is a leading pediatric academic health system that delivers comprehensive care across a network of primary and specialty sites in the D.C. metro area. The hospital is recognized as one of the nation’s top ten children’s hospitals and consistently ranks highly across all evaluated specialties by U.S. News & World Report. Its core focus spans a full spectrum of pediatric services—including cardiology, oncology, neurology, surgery, orthopedics, neonatology, and gastroenterology—supported by the Children’s National Research Institute and the Sheikh Zayed Institute for Pediatric Surgical Innovation. In 2021 the institution opened the first-of-its-kind Pediatric Research & Innovation Campus, positioning it at the forefront of translational research and novel therapeutic development. Designated as a Magnet® hospital for three consecutive years, the organization exemplifies exceptional nursing standards and patient-centered care, while its non-profit status and active advocacy amplify its commitment to ensuring every child receives optimal treatment.
Job Description
The Senior Bioinformatics Scientist will provide scientific and technical leadership as the primary 'go-to' expert for methodological guidance, code standards, QC frameworks, and pipeline development, while mentoring Bioinformatics Scientists and supporting Core infrastructure. The ideal candidate demonstrates deep technical expertise, collaborative leadership, and a commitment to open, reproducible science, with substantial pediatric oncology genomics experience, strong biological insight, and the ability to both embrace learning CNS tumor biology and guide the computational direction of multiple PIs' research programs.
Requirements
- Ph.D. in a biological or computational discipline
- 8–15 years of relevant experience in applied bioinformatics, genomics, and computational work
- Advanced proficiency in UNIX/Linux environments
- Expert-level programming and data analysis skills in R, Python, or equivalent
- Deep experience with NGS, microarray, multi-omics, and other high-throughput platforms and their application to specific biological questions
- Expertise with a broad range of bioinformatics tools, pipelines, and genomic databases
- Demonstrated expertise in GitHub, containerization, and workflow automation
- Strong grasp of workflow management tools
- Expertise using high-performance computing (HPC) environments and/or cloud platforms for large-scale analyses
- Ability to develop user-facing bioinformatics applications using tools such as RShiny or Python Streamlit
Benefits
- Competitive salary
- Benefits package
- Opportunities for professional growth and development
