Research Scientist 4 (Epidemiology), New York State Department of Health

Research Scientist 4 (Epidemiology), New York State Department of Health

Category : Alumni

Responsibilities:

Develop the Pregnancy Risk Assessment Monitoring System (PRAMS) scientific research plans, grant applications and Institutional Review Board (IRB) approval applications 

Develop NYS Department of Health PRAMS Program scientific research plans to support statewide maternal and child health data needs, and grant applications in response to the Centers for Disease Control and Prevention (CDC) PRAMS Request for Applications;

Prepare CDC annual renewal applications (e.g., interim progress reports and continuation applications); • Apply for and obtain IRB approvals, inform IRB of procedural changes and other revisions, and obtain annual continuation approvals; and

Participate in CDC research team meetings, site visits, training programs, and workshops. 

For more information and to apply, please click here


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  • Biostatistics and Bioinformatics Seminar November 14, 2024 at 12:00 pm – 1:00 pm Seminar Series Event Type: Seminar SeriesSpeaker: Brian J Reich, PhDContact Name: Mary AbosiContact Email: mabosi@emory.eduRoom Location: CNR PLAZA - Rollins AuditoriumTitle: Spatial Confounding and Preferential Sampling
  • 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

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