Viral Bioinformatics Lead

Job Responsibilities

• Develop product vision, goals, and a strategic roadmap informed by user needs and aligned with NLM priorities.
• Prioritize product-team activities and provide clear guidance to create incremental value in an Agile environment.
• Lead data analysis and user research efforts and use findings to develop product requirements and inform objective decision-making.
• Collaborate with scientists, bioinformaticians, and software developers within and outside NIH to meet the needs of clinical and basic researchers and public-health professionals.
• Develop partnerships and collaborations with internal and external stakeholders to improve data usability and impact.
• Conduct outreach to research scientists, data scientists, clinicians, and other members of the research and public-health communities.

Required Skills/Experience

• Ph.D. in bioinformatics, molecular biology, computational biology, or a closely related scientific field.
• A demonstrated record of research or professional work in viral genomics and bioinformatics.
• Familiarity with virus taxonomy, comparative genomics, and evolutionary processes.
• Practical knowledge of bioinformatics tools and the application of genomic sequencing data to biomedical and other scientific use cases.
• Familiarity with NCBI resources and tools.
• Experience leading teams, setting goals, prioritizing work based on available information and stakeholder needs, and using metrics to measure success.
• Demonstrated ability to work successfully in multidisciplinary collaborative research.
• Excellent verbal and written communication, organizational, interpersonal, networking, collaboration, and problem-solving skills.
• Ability to work on the NIH campus in Bethesda, Maryland, at least three days per week.
• Ability to obtain Public Trust clearance.

Desired Skills/Experience

• Postdoctoral experience in applied virology, viral genomics, or a related field.
• Familiarity with and commitment to FAIR data practices.
• Familiarity with or experience working in an Agile environment.
• Working familiarity with one or more scripting languages.
• Ability to work with common structured documents (XML, JSON, and CSV).
• Working familiarity with large SQL databases.