MMP Data Manager/Analyst, Georgia DPH

MMP Data Manager/Analyst, Georgia DPH

Category : Alumni

The Georgia Department of Public Health is the lead agency entrusted by the people of the State of Georgia with the ultimate responsibility for the health of communities and the entire population.

The agency is seeking a highly qualified candidate for the position of MMP Data Manager/Data Analyst within the Division of Health Protection, Epidemiology Section.

Georgia Medical Monitoring Project (GA MMP) is an HIV surveillance project coordinated nationally by the Centers for Disease Control and Prevention (CDC) and conducted locally by Georgia DPH. It involves collecting behavioral and clinical information on individuals living with HIV through interviews and chart abstraction. Perinatal HIV exposure surveillance is also an activity coordinated by CDC, and is a critical tool for the elimination of mother-child transmission of HIV in Georgia.

Job Responsibilities
Under the leadership of MMP Team Leader, and of the Director of HIV Epidemiology, the incumbent will share their time between the MMP and perinatal HIV exposure surveillance.

MMP data management duties include:

Pulling the sample from the HIV Surveillance registry.
Organizing the sample according to specified characteristics.
Securely tracking and storing interviews.
Transmitting encrypted data sets to CDC through the Data Coordinating Center (DCC).
Responding to data quality queries from the DCC.
Monitoring a set of quality assurance parameters.
Database matching and merging using SQL, LinkPlus, and other software and dataset preparation using SAS.
MMP data analysis and dissemination duties include:
Conducting a variety of data analysis to inform local prevention and care activities.
Preparing surveillance reports and fact sheets.
Making presentations to community partners and stakeholders and at conferences, and working with a variety of collaborators.
Perinatal HIV exposure data analysis responsibilities include:
Preparing analyzing data on mother-baby pairs where mother is HIV positive to identify both successes and gaps in prevention.
Collaborating with the HIV Prevention program help guide prevention priorities and evaluate impact of programmatic activities.
Disseminating the data to stakeholders.
MMP-related duties are expected to take up approximately two thirds of the incumbent’s time.
Minimum Qualifications
Completion of a Master’s degree in Epidemiology or Statistics or Computer Science or a closely related field AND Two years of experience analyzing data, using statistical software packages, and writing reports;
OR
Completion of a Bachelor’s degree AND Three years of experience performing epidemiological work or work in a closely related field.

Preferred Qualifications:
Preference will be given to applicants who, in addition to meeting the minimum qualifications, possess 3 or more of the following:

One year of SAS programming experience or Base SAS certification.
Previous experience conducting data management functions.
Experience analyzing weighted data.
Detail-oriented with exceptional organizational skills, with the ability to multi-task, and meet deadlines.
Previous experience working with medical data.
Previous experience with relational databases.

For more information and to apply, click HERE.


Log out of this account

Leave a Reply

Upcoming Events

  • GCDTR Presents: Dr. Linelle Blais November 18, 2024 at 12:00 pm – 1:00 pm Guest Lecture; tinyurl.com… Online Location: https://tinyurl.com/LinelleBlaisEvent Type: Guest LectureSeries: GCDTR SeminarsSpeaker: Dr. Linelle BlaisContact Name: Wendy GillContact Email: wggill@emory.eduRoom Location: RRR_R809Link: https://tinyurl.com/LinelleBlaisGCDTR Seminar Presents: The Diabetes MATCH Initiative: Mobilizing Access Through Capacity Building & Health Equity
  • Biostatistics and Bioinformatics Seminar November 21, 2024 at 12:00 pm – 1:00 pm Seminar Series Event Type: Seminar SeriesSpeaker: George Tseng, PhDContact Name: Mary AbosiContact Email: mabosi@emory.eduRoom Location: CNR PLAZA - Rollins AuditoriumTitle: Multi-faceted and outcome-guided cluster analysis for disease subtyping of omics data

Follow Us on Social Media: