Genetics-423501

Information Technology

10/16/2024

11/01/2024

No

Permanent Staff (EHRA NF)

IT Analyst 2

EHRA Non-Faculty

20067396

NF0008595

Full-Time Permanent

1

40

North Carolina, US

Dependent Upon Qualifications

11/18/2024

The UNC School of Medicine has a rich tradition of excellence and care. Our mission is to improve the health and wellbeing of North Carolinians, and others whom we serve. We accomplish this by providing leadership and excellence in the interrelated areas of patient care, education, and research. We strive to promote faculty, staff, and learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service.
OUR VISION
Our vision is to be the nation’s leading public school of medicine. We are ranked 2nd in primary care education among all US schools of medicine and 5th among public peers in NIH research funding. Our Allied Health Department is home to five top-ranked divisions, and we are home to 18 top-ranked clinical and basic science departments in NIH research funding.
OUR MISSION
Our mission is to improve the health and well-being of North Carolinians and others whom we serve. We accomplish this by providing leadership and excellence in the interrelated areas of patient care, education, and research.
Patient Care: We will promote health and provide superb clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities across North Carolina and beyond.
Education: We will prepare tomorrow’s health care professionals and biomedical researchers by facilitating learning within innovative curricula and team-oriented interprofessional education. We will cultivate outstanding teaching and research faculty, and we will recruit outstanding students and trainees from highly diverse backgrounds to create a socially responsible, highly skilled workforce.
Research: We will develop and support a rich array of outstanding health sciences research programs, centers, and resources. We will provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our University to support outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research.

The Department of Genetics invites applications for an IT Analyst/Programmer (Semantic Engineer) in the Translational and Integrative Sciences Laboratory (TISLab.org). This IT Analyst/Programmer (Semantic Engineer) position will join a highly interactive, supportive, and interdisciplinary group of faculty, staff scientists, postdoctoral fellows, and students. The IT Analyst/Programmer (Semantic Engineer) position will contribute to the Department of Genetics and TISLab’s diverse portfolio of research, including grant-funded programs, potential commercialization opportunities of developed software, and transdisciplinary and trans-institutional partnerships. The IT Analyst/Programmer (Semantic Engineer) will provide IT/software engineering support, leading the development of and contributing to semantic pipelines and algorithms, data models, ontologies, and semantic data harmonization and integration strategies for a variety of translational research contexts, including the following data types: clinical research variables, basic research experiments, imaging metadata, genotype-phenotype data, expression, and other ‘omics data. Other responsibilities of the IT Analyst/Programmer (Semantic Engineer) include technical contribution to research publications and preliminary work for grants and funding applications, and collaborations with community-wide efforts aimed at promoting open, integrated, and rigorous practices in research, data engineering, and scholarly communication. TISLab focuses on areas such as automated and manual bio data curation, knowledge representation, semantic engineering, automated reasoning, and the development and evaluation of algorithms and software systems that advance these practices in support of artificial intelligence. Flexible work arrangements, including virtual/hybrid work locations, are an integral part of the School of Medicine’s Working Forward initiative. As such, this position’s work location is designated as virtual. Please note that the designated work location is subject to change based on the unit’s business needs.

Master’s and 1-2 years’ experience; or Bachelors and 2-4 years’ experience; or will accept a combination of related education and experience in substitution.

Experience in semantic data engineering.

Experience implementing informatics/bioinformatics pipelines and export of human interpretable format(s) (graphs/figures, tables, etc…); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python and deploy Jupyter notebooks. Experience working independently and openly on Git Hub. Education within computer science, clinical informatics, biomedical informatics, biosciences, or a related field. Experience working with one or more of the following: Graph databases, Triplestores, Ontologies, Semantic data models or other semantic technologies. Experience in the collection, storage, transformation, standardization, harmonization, and analysis of legacy data stored in a variety of formats (e.g., OWL, RDF, JSON-LD, JSON, Python, SPARQL, and/or graph query languages such as Cypher, relational databases such as My SQL, Postgre SQL, SQLServer, Oracle, Triplestores, or other semantic technologies). Experience with software development and project management tools, and file version control systems (e.g., Git/Git Hub, Jira, Confluence). Experience with web application and user interface development using semantic technologies and/or deploying semantic artifacts in the context of software system architecture, design, and implementation Experience modeling and managing semantically annotated data. Experience developing and evaluating data curation workflows, data quality, and validation according to semantic standards. Experience managing technical aspects of informatics/information science projects