Slu
Postdoctoral Fellow
SLU Saint Louis, MO
Sponsorship not specifiedDetected 30 days ago
Data AnalysisStatisticsHRSTATAScientific WritingResearchAnimal StudiesCommunicationCollaborationMentoring
About the role
- SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.
- Function Medical Research Primary Appointment 12 mo.
- Scheduled Weekly Hours: 40 Saint Louis University is an equal opportunity/affirmative action employer.
Responsibilities
- Collaborating with faculty and staff on research design, data collection, analysis, and interpretation.
- Engaging in interdisciplinary collaboration within the department and with external partners.
- The successful candidate will contribute to ongoing research projects while also pursuing their own research agenda in line with the department's objectives.
Requirements
- Track record of research productivity or strong potential for producing high-quality research outputs.
- Familiarity with ethical considerations in research involving human subjects.
- Expertise in molecular science.
- Experience with longitudinal data analysis and complex survey design.
- Knowledge of cardiovascular and kidney diseases and evidence-based practices.
- Prior experience in grant writing and securing research funding.
Nice to have
- PREFERRED QUALIFICATIONS
Skills
- Doctoral degree in a relevant field (e.g., Physiology and Medicine) with a strong background in quantitative research methods.
- Experience conducting research in vivo and in vitro.
- Proficiency in statistical analysis software such as Stata, R, or SAS.
- Demonstrated commitment to advancing kidney and cardiovascular health research.
Company info
- Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities.
Equal opportunity
- equal opportunity/affirmative action employer.
This listing is sourced directly from Slu's careers page and normalized into a canonical job model.