Post Doctoral Fellow – Global Health

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.

Position is critical to meet grant deliverables and cannot be delayed. Need highly specialized and advanced data analysis skills to meet project needs.

 

Project overview:
The Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project (www.BRINDA-nutrition.org) is a multi-agency and multi-country collaboration formed in 2012 in an effort to improve micronutrient assessment and anemia characterization globally. BRINDA’s overall goal is to refine approaches to estimate the prevalence of micronutrient deficiencies and thus improve the targeting, design and effectiveness of nutrition research and programs. Data from nutrition surveys that measured inflammation, hemoglobin, and micronutrient biomarkers, were pooled. To date, BRINDA includes 33 surveys representing approximately 38,000 preschool children (PSC), 29,000 school aged children (SAC), and 54,000 women of reproductive age (WRA) from all six WHO geographic regions.
Key successes to date include the following:
• Multi-country and intuition collaborative group with Steering Committee representation from CDC, NICHD, GAIN, IZiNCG, DHS Program/ICF, HarvestPlus, GroundWork, and Emory University
• Wide-scale dissemination, including high impact peer-reviewed publications (including AJCN supplements), SPRING programmatic brief, and dissemination at global nutrition symposia (e.g., Micronutrient Forum, Experimental Biology, International Congress of Nutrition
• A BRINDA website with statistical tools and tutorials
BRINDA is broken down into the following working groups. Emory University serves as the secretariat and Chair of the steering committee.

Data management and analysis needs:
BRINDA is seeking a post-doctoral fellow to join the core working group and data management working group. Position is for one year with the possibility of extension contingent on grant funding and project performance. Primary duties include:
• Adapt and implement existing BRINDA data management plan, including data selection, intake, conversion, cleaning, and harmonization
• Supervise data analysts who will perform primary data management activities, including harmonization and quality checks
• Develop statistical plan for priority research questions in coordination with BRINDA authors and statistician
• Review code and statistical analyses performed by BRINDA team members and consult with BRINDA statistician as needed
• Oversee hosting of BRINDA data for public use
• Lead research papers and other dissemination based on interest
• Consult and collaborate with the overall BRINDA team on overall project management, including research question prioritization, data analysis and interpretation, and dissemination.

Desired skillset:
– PhD in computer science, nutrition, epidemiology, biostatistics, informatics, or related fields with strong quantitative components.
– Experience with survey data, including complex survey design
– Experience with (macro) automation coding and processes
– Experience with SAS or R preferred; knowledge of SPSS or Stata

 

Expectations:
– Complete BRINDA and programming trainings
– Aid in data management, harmonization, and documentation.
– Lead 1st author publication and contribute to 3-4 additional BRINDA manuscripts
– Contribute to developing new research questions and conducting analyses
– Provide leadership and mentorship to students in data management group
– Aid in grant writing proposals
– Develop goal planning document and meet project deliverables on time

 

Preferred Qualifications:
– PhD in computer science, nutrition, epidemiology, biostatistics, informatics, or related fields with strong quantitative components.
– Experience with survey data, including complex survey design
– Experience with (macro) automation coding and processes
– Experience with SAS or R preferred; knowledge of SPSS or Stata

 

Applicants should apply online and include a letter of interest, a current CV and names of 3 references. All inquiries can be sent to Dr. Melissa Young (Melissa.young@emory.edu ). Applications will be kept confidential and references will not be contacted without the permission of the applicant.  Screening of applications will begin immediately and consideration of applicants will continue until the position is filled. Emory is an equal opportunity/affirmative action employer

 

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