Part-Time Research Aide - The Center for Precision Nutrition and Health

Cornell Human Ecology explores the complexity of human life. We bring together a wide range of perspectives to understand the full context of the human experience and improve lives at every scale, from cells to society. Our research and academic programs focus on the interaction of humans with their biological, economic, social and physical environments. Using Cornell's far-reaching extension network and the college's translational research methods, we deliver our findings directly to communities and families, ensuring that our work reaches those who need it most.

The Division of Nutritional Sciences (the Division) plays a leading role in national and international nutrition research, teaching, and public engagement. Focal areas for faculty research include precision nutrition, metabolism, lifecycle nutrition, microbiome, and nutrient interactions, food and nutrition systems, health equity, and social and behavioral nutrition.

   

Who We Are

The Center for Precision Nutrition and Health (CPNH/Center) in the Division of Nutritional Sciences (DNS) and College of Human Ecology, is a multi-disciplinary center that integrates novel approaches in precision nutrition, artificial intelligence (AI), and technology to translate nutrition and health research to policy and practice to improve human health. The Center is growing rapidly, with current annual operating funds of over $1.2M, federally sponsored research awards to date of $8.5M, and approximately 12 employees expected by the end of 2024.

What You Will Do

We are seeking part-time research assistants to join the CPNH team to assist with research projects in areas such as nutrition, infectious diseases, and maternal and child health.

• Analyses using Cochrane Methods for systematic reviews.

• Screening: Conduct thorough screening of literature to identify relevant studies based on predefined inclusion and exclusion criteria.

• Full Text Retrieval: Retrieve and organize full-text articles of selected studies for further analysis.

• Data Extraction: Systematically extract and compile relevant data from selected studies using established protocols.

• Analyses: Perform analyses using Cochrane Methods for systematic reviews, ensuring high-quality and accurate results.

• Protocol Development: Contribute to the development of review protocols, ensuring clarity and adherence to established methodologies.

• Quality Assurance: Implement and maintain quality assurance processes to validate the accuracy and reliability of systematic review data.

• Collaboration: Collaborate with cross-functional teams, including researchers, statisticians, and other specialists, to ensure a comprehensive and cohesive approach to systematic reviews.

• Continuous Learning: Stay updated on advancements in systematic review methodologies and incorporate best practices into ongoing projects.

• Assist with the development and submission of systematic reviews and research manuscripts.

• Assist with preparation and compilation of reports and policy briefs.

• Track publications and grant submissions.

• May conduct data analysis and contribute to publications.

• Support other activities for research projects as needed (e.g., research protocols, progress reports, regulatory submissions).

• Participate in projects with occasional work responsibility falling above or below current classification. 

**This is a fixed term appointment.  Applications for these part-time positions are reviewed on a rolling basis.  Individuals may be fully on-site, or hybrid, or in some cases may work remotely in a U.S. State outside of New York State.  Appointments are for one year with the possibility of renewal, contingent on available funding, work, and successful performance.   Applicants must be legally authorized to work in US without sponsorship.

Required Qualifications:

• Experience in and/or demonstrated commitment to supporting diversity, equity, access, inclusion, and wellbeing.

• Associate’s degree in nutrition, epidemiology, biostatistics, public health, or related clinical field and two to four years’ experience, or equivalent combination of experience and education.

• Excellent technical, analytical, organizational, and problem-solving skills; written, interpersonal, and oral communication skills; and the ability to work both independently and as part of a multidisciplinary research team are required.