IT Analyst/Programmer - 2 (Haendel)
About The Position
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. 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.
Requirements
- Experience in semantic data engineering
Nice To Haves
- 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 GitHub.
- 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 MySQL, PostgreSQL, SQLServer, Oracle, Triplestores, or other semantic technologies).
- Experience with software development and project management tools, and file version control systems (e.g., Git/GitHub, 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.
Responsibilities
- technical contribution to research publications
- preliminary work for grants and funding applications
- collaborations with community-wide efforts aimed at promoting open, integrated, and rigorous practices in research, data engineering, and scholarly communication
- 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
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What This Job Offers
Education Level
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