The goal of the Childhood Research in Obesity Prevention (CROP) program at Stanford University is to advance child health equity. To achieve this goal, the program seeks to translate clinical, community, and epidemiologic research findings into innovative population-level interventions during pregnancy, infancy, and early childhood to prevent and treat childhood obesity and chronic diseases particularly among health disparity populations. The culture of the program is one that values growth, teamwork, and inclusion.
Current health services research projects are funded by NIH, PCORI, and Foundations amounting to over $20M total costs between 2024-2030 in addition to endowed program funding. Our research projects include the Food FARMacia randomized trial of an infant food security intervention; the LINC mixed methods study of social risk factors, navigation, and neighborhoods; and the PCORI-funded CHIME (Comparing Health Interventions for Maternal Equity) program. The CHIME program focuses on maternal-infant health equity through comparative effectiveness research, a broader partnership network, a partner learning network, and a research mentorship program using a community partnered approach.
Research Scientist will work with the research program PI (Jennifer Woo Baidal) to assist in attaining the goals of the PI’s sponsored research projects. Research Scientists will also work with the assistant director, managers, learners, and collaborators to partner on complex, multi-site research projects.
DESIRED QUALIFICATIONS:
- 5 years of work experience in an academic setting and/or research institution.
- Experience with obesity and/or nutrition-related research
- Experience with health services research including qualitative research and implementation science methodologies
- Experience with multi-site datasets, including electronic health records data
- Demonstrated ability to work effectively with individuals from a wide range of communities and cultures
This position is for a 3-year fixed-term, with the possibility of renewal based on funding, performance, and operational needs.
Please submit a cover letter, current CV, publications list, writing sample, and at least 3 reference letters.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission.
KEY RESPONSIBILITIES:
- Lead the execution, design, and implementation of quantitative and qualitative health services research studies related to chronic disease risk factor reduction across the life course, spanning social, behavioral, community, and health systems factors. This includes observational and interventional research.
- Conduct statistical analyses of complex data sets using appropriate methodologies and software.
- Oversee data analyses led by trainees and data analysts
- Write manuscripts for peer reviewed publication.
- Assist in the guidance of postdoctoral scholars, graduate, professional, and undergraduate students and other trainees in the research team.
- Communicate research findings to a diverse set of stakeholders spanning patients, clinicians, community organizations, and policy makers.
- Contribute to grant writing and progress reports to support ongoing and future research initiatives.
REQUIRED QUALIFICATIONS:
- Doctorate in epidemiology, public health, health policy, health economics, or alternative appropriate discipline.
- Candidates for the position will ordinarily have completed a minimum of five years at the Research Scientist, or Scholar rank (or will have equivalent experience)
- Comprehensive understanding of scientific principles
- Demonstrated ability to conduct rigorous research with a highly productive peer-reviewed publication record, including training in observational methods, as well as randomized and non-randomized (quasi-experimental) intervention methods
- Proficiency in statistical software such as Python, R, SAS, and/ or STATA.
- Excellent written and verbal communication skills, with experience writing research papers and effectively communicate information to internal and external stakeholders.
- Experience with grant writing
- Strong analytical skills and excellent judgment
- Demonstrated ability to work independently and collaboratively with a team
- Ability to take initiative and ownership of projects, working under deadlines
- Experience building relationships with individuals from varying communities and cultures
~ All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to all aspects of our work. The Department collectively and publicly commits to continuously promoting anti-racism and equity through its policies, programs, and practices at all levels. ~
