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Sr Bioinformatics Scientist

Job in Washington, District of Columbia, 20022, USA
Listing for: Children's National Medical Center
Full Time position
Listed on 2026-01-27
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Senior Bioinformatics Scientist )

The Senior Bioinformatics Scientist, serving as Assistant Director of the BTI Bioinformatics Core, is a leadership-level role requiring a Ph.D. in a biological or computational discipline and 8–15 years of relevant experience (inclusive of doctoral work). Reporting to the Director of the BTI Bioinformatics Core, this position provides scientific and technical leadership as the Core’s primary “go-to” expert for methodological guidance, code standards, QC frameworks, and pipeline development, while mentoring Bioinformatics Scientist s and supporting Core infrastructure.

The role is split between 50% scientific oversight, project guidance, and code review and 50% hands‑on computational biology analyses for the Rare Brain Tumor Program.

Qualifications
  • Ph.D. in a biological or computational discipline (Required)
  • 8–15 years of applied bioinformatics, genomics, and computational work, inclusive of relevant Ph.D. dissertation years (Required)
  • 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, such as GATK, UCSC Genome Browser, Bioconductor, ENCODE, NCBI, Kids First, gnom

    AD, Clin Var, OMIM, HGMD, and COSMIC.
  • Demonstrated expertise in Git Hub, 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 expertise interpreting and visualizing results in biological or clinical contexts.
  • Domain expertise within pediatric oncology genomics and related fields, evidenced through publications and tools.
  • Experience in writing scientific manuscripts, figure and methods development, and manuscript authorship.
  • Ability to lead complex interdisciplinary projects and guide teams from analysis to publication.
  • Strong mentorship and training skills for junior scientists and analysts.
  • Excellent organizational, communication, and presentation skills.
  • Proven ability to interact effectively with investigators, clinicians, laboratory staff, peers, and institutional leadership.
  • 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, Git Hub Projects, Trello, or Asana.
Functional Accountabilities Responsible Conduct of Research (RCR)
  • Uphold the highest ethical standards and integrity in all scientific activities.
  • Ensure data privacy and patient confidentiality standards.
  • Maintain reproducibility and transparency in code, workflows, and documentation.
  • Properly cite software tools, data sources, and collaborators.
  • Comply with institutional policies and federal regulations governing research and data use.
Bioinformatics Analysis & Method Development
  • 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.
  • Collaborate with investigators to determine the most effective computational approaches to complex problems with biological context.
  • Contribute significantly to high‑impact publications and grant proposals.
Technical Oversight & Troubleshooting
  • Resolve advanced, multi‑layered bioinformatics and workflow issues independently.
  • Design scalable, sustainable solutions to recurring analysis or infrastructure challenges.
  • Serve as technical advisor to junior bioinformatics staff, providing design, optimization, and troubleshooting support.
Scientific…
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