Epidemiologist II - Analytics and Informatics - King County Public Health - Seattle & King County

LOCATION: Seattle, WA

CLOSING DATE: August 27, 2020

OPPORTUNITY TYPE: Job

JOB #: 16136

POSTED: July 27, 2020

Description:

Job Duties

 

This job announcement will be used to recruit multiple positions. These positions will have either an informatics or an analytics emphasis, as described below.

Informatics position:
  • Lead and coordinate the collection of data from settings such as laboratories, long-term care facilities, correctional settings, homeless shelters, and schools/childcare by building partnerships, coordinating the exchange of data, designing databases, developing surveys, and implementing novel data collection strategies.
  • Design, implement, and supervise data integration efforts by matching/merging records across complex data sources (e.g., disease reports in local/state notifiable condition systems, laboratory data, Medicaid claims, and electronic health records data).
  • Supervise and conduct data quality assurance, including data cleaning and developing data quality reports.
  • Work with a team of database developers and epidemiologists to design and test improvements to existing databases/systems.
  • Provide technical supervision of assigned staff involved in data collection and data management.
Analytics position:
  • Lead epidemiological and statistical analysis using local, state, and federal databases to support disease investigations and determine trends, incidence and prevalence of disease, and examine data for health disparities.
  • Design and supervise the creation of data visualizations and dashboards (e.g., using Tableau) for internal and external audiences.
  • Lead data analysis and data interpretation, including the development of reports and written summaries for internal and external audiences.
  • Present findings to technical and lay audiences.
  • Provide technical supervision of assigned staff involved in data analysis and reporting.

 

Skills/Eligibility:

Experience, Qualifications, Knowledge, Skills

 

  • Master’s degree in epidemiology, informatics, biostatistics, or related field OR any equivalent combination of experience and education which provides the applicant with the skills, knowledge and abilities required to perform the work
  • Expertise in analytical programming, including knowledge of SQL (for extracting or creating data sets), text string searches, coding efficiencies, arrays, recoding data values, macros, date/time calculations, applying formats to variables, merging data sets, and transposing data
  • Supervisory experience
  • Proficient written, oral, and interpersonal communication skills
  • Demonstrated ability to work well on a team
  • Demonstrated ability to conduct projects within timelines
  • Ability to work independently with minimal direction
  • Excellent problem-solving skills
  • Ability to work well under pressure with multiple competing priorities and deadlines

In addition to the experience, qualifications, knowledge, and skills listed above, the following skills are also required for the informatics position:
  • Leading or coordinating data collection strategies
  • Monitoring data quality
  • Developing data collection tools or surveys
  • Designing databases
  • Facilitating data exchange with partners
  • Conducting record linkage and data integration across databases

In addition to the experience, qualifications, knowledge, and skills listed above, the following skills are also required for the analytics position:
  • Analyzing complex databases, including longitudinal data and relational datasets
  • Creating surveillance summaries, outbreak summaries, or annual reports for internal and external audiences
  • Creating visualizations of surveillance data (using Excel, ArcGIS, R, SAS, or Tableau)
  • Knowledge of statistical theory, including hypothesis testing, multivariate analysis, trend analysis, regression analysis, sampling techniques, and confidence-interval estimation
  • Interpreting data by summarizing assumptions, conclusions, strengths and weaknesses of the data

Desired Qualifications
  • Expertise in SAS coding skills is desired; expertise in R skills will be considered as a substitute for SAS
  • Experience analyzing data from electronic health records (EHR) or electronic laboratory reports (ELR)
  • Experience conducting time series analysis, geospatial modeling, and analyses involving syndromic surveillance data
  • Experience conducting communicable disease surveillance
  • Experience working in a local or state public health practice setting
  • Experience analyzing data for health disparities

 

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