Research - Laboratory/Non-Laboratory, Staff/Administrative
Serve as a clinical data expert in supporting and advising users, team members, and stakeholders (technical and non-technical) on project-specific clinical terminology and data dictionary architecture.
Create and maintain data dictionaries.
Assist with mapping complex clinical datasets from submitters to internal standards.
Identify & recommend improvements to internal clinical data dictionary and systems, especially including processes where automation could be implemented.
Develop and maintain best practices surrounding clinical datasets and data dictionaries.
Familiarize and learn about modern standards such as FHIR.
Assist with research projects that involve clinical data.
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.
Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling.
Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.
Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Partners with other campus teams to assist faculty with data science related needs.
Performs other related work as needed.
PhD in Biology, Bioinformatics, Computer Science, or a related technical area.
5+ yearsâ™ experience in a relevant technical or clinical data management or curation capacity.
Experience with a variety of clinical data vocabularies or standards.
Technical documentation and writing experience.
Experience in bioinformatics.
Experience with command line tools and software development.
Experience with FHIR, OMOP, SQL, RDF, and/or 'knowledge graphs.'
Strong technical skills, ability to pick up quickly on our unique systems and offerings.
Extreme attention to detail.
Passionate about contributing to a larger effort to transform biological research and accelerate scientific discovery.
Ability to come into a team used to minimal supervision and oversight and ensure accountability for performance.
Ability to speak to both technical users and business stakeholders and interact at all levels of an organization.
Superior verbal and written communication skills.
Strong relationship building skills.
Ability to work in an environment where processes, services, and business models have not yet been fully defined.
High level of creativity within uncompromised integrity.
Ability to handle sensitive matters with tact and discretion.
Fluent in the English language.
Cover Letter ( preferred)
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Internal Number: JR10206
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