Research Aide IV (Full-Time) : Center for Precision Nutrition and Health

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.

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.

What you will do:

We are seeking full-time research assistants to join the CPNH team. The research assistants will 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.

Rewards and Benefits:

We hope you appreciate great benefits. Cornell receives national recognition as an award-winning workplace for our health, well-being, sustainability, and diversity initiatives.

• Our benefits program includes comprehensive healthcare options, access to wellness programs, employee discounts with local and national retail brands, and generous retirement contributions. We invite you to follow this link to get more information .
• Follow this link to learn more about the Total Rewards of Working at Cornell: .

• Our leave provisions include three weeks of vacation and 13 holidays: e.g., an end-of-year winter break from December 25 through January 1.
• Cornell's impressive educational benefits include a tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program.
• Competitive wages.

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.
• Strong attention to detail, excellent time management, goal and detail-oriented work style, meticulous and consistent follow through on research projects.
• Ability to serve as an advocate for individuals of all ethnicities, genders, ages, and backgrounds.

Preferred Qualifications:

• A bachelor's degree in nutrition, epidemiology, biostatistics, public health, or related clinical field is desirable.
• Advanced training in nutrition and/or data science and experience in scientific writing, data analysis (SAS), and conducting systematic reviews, and/or training in Cochrane methods is also desirable.

We are unable to provide Visa sponsorship for this position now or in the future.

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