Carnegie Mellon University's Pittsburgh Supercomputing Center is looking to solve the problem of curating and managing large amounts of scientific data and metadata in their data archives, ensuring compliance with repository standards and facilitating exchange and reuse of data.
Requirements
- Familiarity with genomics, bioinformatics, and/or imaging assays.
- Experience with programming languages used in data science (such as Python or R)
- Experience managing/preparing data sets for use in analysis and/or modeling.
- Familiarity with commonly used biomedical ontologies.
- Degree in Biology, Medicine, Information/Library Science, Biomedical Informatics, Data Science, Computer Science, or related field.
- 1 -3 years of relevant experience in information technology, data science, healthcare, business, or research field.
- A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Responsibilities
- Assisting with the curation the data deposited under supervision.
- Interacting with data depositors and users
- Participating with efforts developing community data and metadata standards.
- Participating, representing, and advocating for project interests in relevant community working groups and standardization efforts.
- Assisting with the integration and addition of annotation data to existing data held by the data repository.
- Assisting the work with relevant repositories with efforts to facilitate exchange and reuse of data.
- Supporting improvement efforts ensuring that the data held is increasingly FAIR and AI ready.
Other
- Work well with others as part of a team
- Work with sensitive information, maintain confidentiality and use discretion.
- Pay close attention to detail, keep and maintain accurate and detailed reports and records.
- Maintain composure when dealing with difficult situations and individuals.
- Meet deadlines, work under pressure and with frequent interruptions.
