Children's National Hospital
Sr Bioinformatics Scientist
Children's National Hospital, Washington, District of Columbia, us, 20022
Sr Bioinformatics Scientist
Children's National Hospital
Pay Range $118,393.60/yr - $197,308.80/yr
Role Overview The Senior Bioinformatics Scientist, serving as Assistant Director of the BTI Bioinformatics Core, provides scientific and technical leadership. The role is split 50% scientific oversight, project guidance, and code review, and 50% hands‑on computational biology analyses for the Rare Brain Tumor Program. 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 guide multiple PIs’ research programs.
Responsibilities
Provide scientific and technical leadership as the Core’s primary expert for methodological guidance, code standards, QC frameworks, and pipeline development.
Mentor Bioinformatics Scientists and support Core infrastructure.
Lead the development and implementation of novel and optimized workflows for large‑scale -omic datasets.
Design rigorous statistical frameworks that align with study goals and clinical hypotheses.
Serve as technical advisor to junior bioinformatics staff, providing design, optimization, and troubleshooting support.
Lead preparation of figures, written analysis, and supplemental methods for manuscripts, grants, and collaborators.
Coordinate timelines and deliverables using project management tools (e.g., Jira, GitHub Projects, Asana) and collaborative workflows.
Represent the organization in consortia, workshops, and national/international scientific forums.
Guide institutional practices in reproducibility, open science compliance, and infrastructure sustainability.
Qualifications
Doctor of Philosophy (Ph.D.) in a biological or computational discipline.
8–15 years of relevant experience in applied bioinformatics, genomics, and computational work (inclusive of doctoral 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 (e.g., GATK, UCSC Genome Browser, Bioconductor, ENCODE, NCBI, Kids First, gnomAD, ClinVar, OMIM, HGMD, and COSMIC).
Demonstrated expertise in GitHub, containerization (Docker, Podman, and/or Singularity), and workflow automation.
Strong grasp of workflow management tools (e.g., Snakemake, Nextflow, WDL, CWL).
Expertise using high‑performance computing (HPC) environments and/or cloud platforms (e.g., AWS, Google Cloud) for large‑scale analyses.
Ability to develop user‑facing bioinformatics applications using tools such as RShiny or Python Streamlit.
Demonstrated ability to design and execute robust statistical analyses across diverse genomic and proteomic data types.
Deep domain expertise in at least one disease area or biological system through publications, pipelines, tools, and/or open‑source contributions.
Experience writing scientific manuscripts, figure and methods development, and manuscript authorship.
Strong mentorship skills and demonstrated ability to train junior scientists and analysts.
Excellent organizational, communication, and presentation skills.
Commitment to open and team science practices, including transparency, reproducibility, shared documentation, and collaborative problem‑solving.
Familiarity with project management tools and methodologies such as Scrum, Agile, Jira, GitHub Projects, Trello, or Asana.
Location District of Columbia – Washington, DC
Work Schedule Full‑time, 40 hours per week, day shift
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Pay Range $118,393.60/yr - $197,308.80/yr
Role Overview The Senior Bioinformatics Scientist, serving as Assistant Director of the BTI Bioinformatics Core, provides scientific and technical leadership. The role is split 50% scientific oversight, project guidance, and code review, and 50% hands‑on computational biology analyses for the Rare Brain Tumor Program. 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 guide multiple PIs’ research programs.
Responsibilities
Provide scientific and technical leadership as the Core’s primary expert for methodological guidance, code standards, QC frameworks, and pipeline development.
Mentor Bioinformatics Scientists and support Core infrastructure.
Lead the development and implementation of novel and optimized workflows for large‑scale -omic datasets.
Design rigorous statistical frameworks that align with study goals and clinical hypotheses.
Serve as technical advisor to junior bioinformatics staff, providing design, optimization, and troubleshooting support.
Lead preparation of figures, written analysis, and supplemental methods for manuscripts, grants, and collaborators.
Coordinate timelines and deliverables using project management tools (e.g., Jira, GitHub Projects, Asana) and collaborative workflows.
Represent the organization in consortia, workshops, and national/international scientific forums.
Guide institutional practices in reproducibility, open science compliance, and infrastructure sustainability.
Qualifications
Doctor of Philosophy (Ph.D.) in a biological or computational discipline.
8–15 years of relevant experience in applied bioinformatics, genomics, and computational work (inclusive of doctoral 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 (e.g., GATK, UCSC Genome Browser, Bioconductor, ENCODE, NCBI, Kids First, gnomAD, ClinVar, OMIM, HGMD, and COSMIC).
Demonstrated expertise in GitHub, containerization (Docker, Podman, and/or Singularity), and workflow automation.
Strong grasp of workflow management tools (e.g., Snakemake, Nextflow, WDL, CWL).
Expertise using high‑performance computing (HPC) environments and/or cloud platforms (e.g., AWS, Google Cloud) for large‑scale analyses.
Ability to develop user‑facing bioinformatics applications using tools such as RShiny or Python Streamlit.
Demonstrated ability to design and execute robust statistical analyses across diverse genomic and proteomic data types.
Deep domain expertise in at least one disease area or biological system through publications, pipelines, tools, and/or open‑source contributions.
Experience writing scientific manuscripts, figure and methods development, and manuscript authorship.
Strong mentorship skills and demonstrated ability to train junior scientists and analysts.
Excellent organizational, communication, and presentation skills.
Commitment to open and team science practices, including transparency, reproducibility, shared documentation, and collaborative problem‑solving.
Familiarity with project management tools and methodologies such as Scrum, Agile, Jira, GitHub Projects, Trello, or Asana.
Location District of Columbia – Washington, DC
Work Schedule Full‑time, 40 hours per week, day shift
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