Job
Staff Scientist 1 - Sequence Read Archive Development Team
Organization
National Library of Medicine, Bethesda, MD and surrounding area
Scientific focus area
Biomedical Engineering and Biophysics
The National Library of Medicine (NLM) is one of 27 Institutes and Centers at the National Institutes of Health. NLM is a global leader in biomedical informatics and computational health data science and the world’s largest biomedical library. NLM’s legislative mandate is to support the essential work of acquiring, organizing, preserving, and disseminating biomedical information. NLM provides public access to this information 24 hours a day, seven days a week.
About the position
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.
Apply for this vacancy
What you'll need to apply
Interested individuals should send a copy of their CV and Bibliography with the names of three references along with a cover letter detailing research interests, a brief summary of communication and organizational skills, and evidence of engagement in multi-disciplinary collaborative research to ncbijobs@ncbi.nlm.nih.gov. Please include the announcement number, NLM9488-2024, in the cover letter. Do not include your birth date, social security number (SSN), or personal photograph on application materials.
Contact name
Melissa M. Kopyto
Contact email
Qualifications
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 ideal candidate may or may not be a United States citizen and must have a doctoral degree. Foreign Education: Selectees who have completed part or all their education outside of the United States must have their foreign education evaluated by an accredited organization to ensure that the foreign education is equivalent to education received in accredited educational institutions in the United States. We will only accept the completed foreign education evaluation. For more information on foreign education verification, visit the National Association of Credential Evaluation Services (NACES) website. Verification must be received prior to the effective date of the appointment.
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.
Disclaimer/Fine Print
Selection for this position will be based solely on merit, with no discrimination for non-merit reasons such as race, color, religion, gender, sexual orientation, national origin, political affiliation, marital status, disability, age, or membership or non-membership in an employee organization. The NIH encourages the application and nomination of qualified women, minorities, and individuals with disabilities.
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