Quantitative Specialist 1 - 017005

Wayne County•Detroit, MI

About The Position

The Quantitative Specialist 1 furthers the Department mission by leading and supporting data identification, synthesis, advance level analysis, reporting, visualization, and interpretation, under the supervision from the Chief Epidemiologist to inform evidence-based public health strategies and data-driven decisions that improve and promote the health and wellbeing of Wayne County residents.

Requirements

A Master's in Epidemiology, Biostatistics, Statistics, Bioinformatics, Data Science, or a related field from an accredited institution
Experience in data analysis, reporting, and visualization.
Experience in quantitative research skills, including experience with epidemiological study design and analysis.
Excellent attention to detail and data management skills.
Effective communication skills, both written and verbal.
Ability to interact with internal and external stakeholders, the public, and peers to provide or obtain information.
Ability to work collaboratively in a team and independently.

Nice To Haves

Familiarity with public health concepts and issues is a plus.
Equivalent combinations of education and experience may be substituted to meet the education and experience requirement of this position.

Responsibilities

Data Analysis and Visualization Collect, clean, and organize epidemiological data from various sources.
Identify, develop and implement automations to analyze, summarize, and visualize data into meaningful stories for a variety of audiences, including maintain, improve, and optimize existing suite of data analysis.
Research, develop, and perform statistical analysis to identify patterns, trends, and risk factors related to public health issues.
Utilize statistical software and modeling techniques to generate forecasts and predictive models.
Map, visualize, and interpret a variety of data including, but not limited to, categorical, ordinal, numeric, string, date/time, network, and geospatial.
Research Support Lead meetings that focus on identifying research requirements as well as end user needs, preferences, objectives, and working methods.
Assist in the design and execution of epidemiological research projects.
Collaborate with the Chief Epidemiologist and research team to formulate research questions and hypotheses.
Conduct literature reviews and stay updated with current research in epidemiology and public health.
Report Generation Prepare scheduled and ad hoc reports, presentations, data visualizations, and dashboards to communicate research findings effectively to internal and external stakeholders.
Translate results into actionable recommendations for public health interventions.
Data Management Maintain databases and data systems to ensure data integrity and security.
Develop and implement data quality control measures.
Create and update data dictionaries and documentation.
Generate, document, and updated standard operating procedures for data-related processes (collection, analyses, reports, dashboards) to ensure ongoing validity, integrity, and version control.
Collaboration and Communication Collaborate with the Chief Epidemiologist and other team members to integrate quantitative analysis into epidemiological studies.
Communicate research findings to a variety of stakeholders, including health professionals, policymakers, and the public.
Technical Expertise Stay current with advancements in quantitative methods, statistical software, and data analytics tools.
Provide expertise in selecting appropriate statistical methodologies for different research questions.
Training and Capacity Building Contribute to team knowledge building and growth by sharing and learning new tools.
Collaborate and support quantitative specialists and epidemiologists within the organization.
Develop and provide training and support to staff members on epidemiological principals and study designs, data governance principles, data analysis and statistical techniques.
Foster a culture of data-driven decision-making within the department.