Translational Informatics Analyst - Research

About the role

The role involves understanding and applying informatics methods to convert data into knowledge, leading the design and implementation of informatics solutions, and validating these solutions for efficacy.

Responsibilities

• Identifies and leads the development of informatics solutions that integrate with clinical or business workflows.
• Evaluates new requests for derived information or knowledge and works with data scientists and knowledge engineers to identify the most relevant approaches.
• Validates informatics solutions for efficacy and ensures they are integrated into the clinical or business workflow.
• Develops and improves software applications to support data management, extraction, and analysis.
• Designs analytical procedures and develops knowledge representations based on cognitive, social, or organizational theories.
• Applies best practices in data governance and cataloging and indexing of datasets and algorithms.
• Participates in the development of policies for managing derived data.
• Understands and leverages the complex environment of implementing translational solutions, considering socio-economic, behavioral, and ethical aspects.
• Leverages the technical ecosystem, data, identity, and integration platforms to translate health IT solutions into practice.
• Uses change management principles to devise change management plans.

Qualifications

• A Bachelor's degree in a relevant field including bioinformatics, clinical informatics, biomedical engineering, computer science, health science, or other analytical/quantitative fields with a minimum of three years of professional or research experience in translational informatics.
• A Master's degree or PhD in a relevant field with a minimum of one year of professional or research experience in data.
• Appreciation and leveraging of complex environments in implementing translational solutions, with respect to socio-economic, behavioral, and ethical considerations.
• Core competencies in networking, security, and cloud computing.
• Deep understanding of the technical ecosystem and effective use of data, identity, and integration platforms to translate health IT solutions into practice.
• Strong understanding of digital strategies for connecting with internal and external systems, such as integrating external clinical applications with the EHR.
• Experience working with AI-assisted workflows, validation and troubleshooting of AI-generated cohort definitions, queries, or data extraction logic.
• Knowledge of descriptive statistics and exploratory data analysis to support cohort characterization, data validation, and quality assurance.

Benefits

• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retail: Competitive retirement package to secure your future.