IHME Data Specialist 2

UW CODE AND REPRESENTATIVE GROUP

23640 (E S 9 SEIU 925 IHME Non Supv)
23641 (NE S 9 SEIU 925 IHME Non Supv)

CLASS SERIES CONCEPT

Within the Institute for Health Metrics Evaluation (IHME), provide support to assigned research team, through database management, data quality management, statistical modeling, computational analysis, data visualization and production of technical research papers and presentations.

BASIC FUNCTION

Provide support to derivative or novel analyses that use existing indicators and conduct new analyses for papers or exploratory new methods. Address team-specific analytic strategies that will be used frequently by multiple people within the team. Mentor junior staff.

DISTINGUISHING CHARACTERISTICS

Independently perform assignments with instructions as to the general results expected. Demonstrate deep understanding of and independently perform highly specialized database management, data quality management and complex computational processes. Exhibit established technical expertise; serve as a technical expert resource to assigned team and mentor and provide leadership to junior staff. Command astute knowledge of a specific analytic area and ability to code and document code at a high level so it is repeatable, reliable, and optimized. Support team to be efficient, productive, and to produce high quality work.

TYPICAL WORK

Perform the duties of IHME Data Specialist 1;

Exhibit comprehensive knowledge of team’s unique analytics, strategies, and data, evaluating the coherence of outcomes and suggesting enhancements as needed;

Collaborate closely with research professionals to identify the source of data used in models and results, ascertain the relevance of the data in context, and validate their applicability to the respective analyses;

Learn the fundamental elements of assigned research areas including the Global Burden of Diseases, Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations framework and specifically how the work of a respective team fits into it;

Pioneer the development of novel methods to enhance routine computational processes, considering the implications of various alternatives, to aid in decision-making processes;

Reformat and transform data sets for continuous analytical usage. Conduct quality controls;
Adapt and standardize data sets from diverse sources such as surveys, administrative records, scientific literature, and vital registration systems;

Troubleshoot computational and analytical issues by scrutinizing the data, understanding the core questions, and proposing alternative measurement strategies;

Design and fine-tune team-specific analytical pipelines to consistently and effectively produce and meet team deliverables and timelines;

Elevate and implement analytical engines, statistical models, and tools to perform functions that respond to the analytical questions needing resolution. Improve and address team-specific analytical strategies that will be frequently utilized by multiple team members;

Undertake innovative analytics to respond to inquiries from senior researchers, partners, donors, and other stakeholders;

Evaluate outcomes and contribute feedback on their credibility;

Harmonize code in team-specific methods to leverage centrally maintained databases and tools. Show understanding of code functionality and its connection to the analytic strategy;

Ensure that work processes optimize the usage of central tools and comply with universal data, cataloguing, and notation practices;

Guarantee adherence to Institute-wide coding and data standards within the team;

Communicate effectively and contribute as a valuable member of the Institute. Cooperate seamlessly with other team members to assist with pertinent tasks, foster the acquisition of new skills, and assist in resolving emerging issues on various projects;

Act as a knowledgeable resource to others in explaining analytical methods, describing data, and demonstrating how to implement code. Take part in or lead internal training sessions;

Provide support for information and data for grant proposals;

Offer technical and analytical guidance to junior staff;

May lead the work of others; and

Perform other duties as assigned.

MINIMUM QUALIFICATIONS

Bachelor’s degree in social sciences, engineering, computer science, or related field and five years of related experience

Equivalent combination of education/experience.

CIVIL SERVICE EXEMPTION

Research.

CLASSIFICATION HISTORY

New Class: 01-01-2024 as agreed with SEIU 925 IHME