• The development, implementation, testing, and continued maintenance of the SRA data delivery and distribution pipelines; • Working with a diverse group of scientists, bioinformaticians and other developers across the SRA Program and NCBI to implement efficient bioinformatics algorithms and to further advance the usefulness of SRA data; • Facilitating development of system architecture and design to support sustainable scalability and enabling use by collaborators and scientists in the field; • Keeping abreast with new high throughput, distributed processing, and cloud technologies; • Keeping up with the internal systems, and sharing knowledge with the team; • Defining work plans, providing estimates, allocating resources, and monitoring implementation progress; and • Ensuring compliance with NCBI, NLM, NIH and government standards and directives for software development and delivery, including privacy and security controls.

We are looking for an individual with: • 7+ years of experience managing software development teams working on highly available, high-traffic, distributed software applications; • Experience developing data and document submission interfaces and processing pipelines for bioinformatics data; • Knowledge of Next Generation Sequencing technologies, bioinformatics data formats and tools; • Ability to translate business requirements into sustainable, current architecture and designs; • Ability to troubleshoot technical and staffing roadblocks, anticipate and plan risk mitigations for future challenges and communicate clearly at an executive level; • Experience introducing and managing Agile software development practices; • Proficiency in C++ and Python programming languages; • Fluency in scripting languages such as bash and csh; • Knowledge of AWS and GCP cloud technologies and modern web client frameworks; and • Experience implementing DevOps practices.

The IEB is responsible for designing and building NCBI's production software and databases. They: (1) perform applied research in the area of data representation and analysis for molecular biology data, including development of computer based systems for the storage, management, and retrieval of knowledge concerning molecular biology, genetics, and biochemistry; (2) design schema and specifications for representation of sequence genetic and structural information in databases which will serve as national resources; (3) design and develop distributed software systems from the prototype to operational phases which provide researchers with both local and remote computational services; (4) coordinate access to sequence, genetic, structural, and bibliographic databases; (5) establish collaborative informatics research projects with NIH Intramural laboratories as well as extramural academic groups; (6) consult and advise other government agencies and research laboratories on advanced methods of software and database design; and (7) develop and promote standards for databases, data exchange, and biological nomenclature.

This position will manage a team of federal employees and contractors working on solutions to support continued development of NCBI’s Sequence Read Archive (SRA) – the world premier archive of Next Generation Sequencing (NGS) data and is a part of international collaboration that includes archives in Europe and Japan. SRA makes biological sequence data derived from NGS available to the research community to enhance reproducibility and allow for new discoveries by analyzing and comparing data sets. SRA is a BigData archive measured in tens of petabytes of stored data. The future development of SRA will make this data more useful for wide variety fields: Medical Health (genetic diseases, cancer, etc.), Public Health (food safety monitoring, antimicrobial resistance, viral outbreaks, etc.), microbial diversity, and many more.

Salary is commensurate with research experience and accomplishments. A full package of benefits, including retirement, health, life, and long-term care insurance, Thrift Savings Plan participation, etc., is available.

The successful candidate will serve in a non- competitive and time-limited, renewable appointment in the excepted service.

HHS, NIH, and NLM are equal opportunity employers.