Bioinformatics Data Scientist/Analyst

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Requirements:

• The ideal candidate must have a doctoral degree and postdoctoral experience.
• A track record of research or work in viral genomics and bioinformatics.
• Familiarity with virus taxonomy, comparative genomics, and evolutionary processes.
• Experience in bioinformatics of DNA and RNA sequence analysis and the development of robust workflows for automated data processing.
• Proficiency in at least one scripting language (e.g., Python).
• Experience with SQL.
• Ability to work with common structured documents (XML, JSON, CSV).
• Familiarity with NCBI resources and tools.
• Experience in interpreting complex biological problems and critically analyzing the scientific literature.
• Excellent verbal and written communication skills, organizational skills, and problem-solving skills.
• A proven ability to successfully engage in multi-disciplinary collaborative research.

Responsibilities:

• Collecting, processing, and analyzing biological datasets to support public virus resources.
• Developing methodologies and tools for the identification and classification of viral sequences based upon genomic and protein sequence content.
• Improving sequence data quality and annotation based on bioinformatic analysis, appropriate scientific literature, and through direct communication with scientists.
• Outreach to research scientists, data scientists, and clinicians.
• Interacting and collaborating with a diverse group of scientists, bioinformaticians, and software developers within and outside the NIH to meet the needs of clinical and basic researchers and public health professionals.