Translational Informatics Analyst - Research

Mayo Clinic•Rochester, MN

13h•$88,004 - $132,080

About The Position

Understanding of the ways in which information (i.e. meaningful data) is converted into knowledge. Identifies substantive problems where different representations, algorithms, and methods can be used to inform practice. Leads the development, design, and translation of informatics solutions incorporating domain specific data, information and knowledge e.g. Clinical, HR or finance informatics solutions. Works with subject matter experts on designing the integration of informatics solutions into the clinical or business workflow. Evaluates new requests for derived information or knowledge, or knowledge delivery solutions, and works with informatics scientists, data scientists and knowledge engineers to identify the most relevant approaches, including translational informatics and data science approaches, to address a specific problem. Validates the solution for efficacy. Proficient in the informatics methods used to analyze data and advanced knowledge of healthcare data types, topics, approaches, and scientific challenges. May work with data scientists and software developers to build new tools to address gaps. Develops and improves software applications to support data management, extraction, and analysis as required. Designs analytical procedures in the framework of a specific project or group of interconnected projects. May develop and implement knowledge representations based on cognitive, social, or organizational theories suitable in the context of real problems, such as the analysis of genomic or clinical data in the electronic health record (EHR). Deep knowledge of data governance principles and best practices, including nomenclature, provenance/pedigree, and data structures. Applies best practices in cataloging and indexing of datasets and algorithms. Participates in development of policy for managing derived data. Other responsibilities: • Deep understanding of the workflows and information flows of clinical departments and how departmental solutions fit into the larger technical ecosystem. • Triages new requests for derived information or knowledge and works with principal informatics scientists and/or data scientists to identify the most relevant existing approaches, adapting them to a specific problem. Validates the output for efficacy. May work with domain experts and/or data scientists to build new tools to meet clinical needs. • Works with clinical departments to ensure the adoption and application of newly derived knowledge into the practice. • Appreciation of clinical or business workflows and informatics/AI impact on them. • Expertise in integrating newly derived knowledge into the clinical or business workflow. • Uses change management principles to devise change management plan.

Requirements

Understanding of the ways in which information (i.e. meaningful data) is converted into knowledge.
Identifies substantive problems where different representations, algorithms, and methods can be used to inform practice.
Proficient in the informatics methods used to analyze data and advanced knowledge of healthcare data types, topics, approaches, and scientific challenges.
Deep knowledge of data governance principles and best practices, including nomenclature, provenance/pedigree, and data structures.
Appreciation of clinical or business workflows and informatics/AI impact on them.
Expertise in integrating newly derived knowledge into the clinical or business workflow.

Responsibilities

Leads the development, design, and translation of informatics solutions incorporating domain specific data, information and knowledge e.g. Clinical, HR or finance informatics solutions.
Works with subject matter experts on designing the integration of informatics solutions into the clinical or business workflow.
Evaluates new requests for derived information or knowledge, or knowledge delivery solutions, and works with informatics scientists, data scientists and knowledge engineers to identify the most relevant approaches, including translational informatics and data science approaches, to address a specific problem.
Validates the solution for efficacy.
May work with data scientists and software developers to build new tools to address gaps.
Develops and improves software applications to support data management, extraction, and analysis as required.
Designs analytical procedures in the framework of a specific project or group of interconnected projects.
May develop and implement knowledge representations based on cognitive, social, or organizational theories suitable in the context of real problems, such as the analysis of genomic or clinical data in the electronic health record (EHR).
Applies best practices in cataloging and indexing of datasets and algorithms.
Participates in development of policy for managing derived data.
Deep understanding of the workflows and information flows of clinical departments and how departmental solutions fit into the larger technical ecosystem.
Triages new requests for derived information or knowledge and works with principal informatics scientists and/or data scientists to identify the most relevant existing approaches, adapting them to a specific problem.
Works with clinical departments to ensure the adoption and application of newly derived knowledge into the practice.
Uses change management principles to devise change management plan.