Important Info
Email to Dr Yoel Sadovsky at yoels@stanford.edu
This postdoctoral position, newly funded by the Gates Foundation, centers on the molecular and cellular biology of the human placenta, with particular emphasis on the molecular mechanisms by which low-dose aspirin influences placental trophoblast development and function. Preeclampsia remains a leading cause of maternal and perinatal morbidity and mortality worldwide. Despite decades of research, low-dose aspirin is the only widely recommended pharmacologic intervention for its prevention. Although aspirin reduces disease risk in selected pregnancies, the molecular and placental mechanisms underlying its protective effects remain poorly understood.
In this translational research project, Dr Yoel Sadovsky (MD, biologist) and Dr Ivana Maric (PhD, data scientist) seek to define the biological pathways through which low-dose aspirin impacts trophoblast biology. The work integrates advanced cellular models with analyses of human placental tissues to identify aspirin-responsive molecular networks. Using high-throughput multiomic approaches, the project will define aspirin-induced changes in trophoblast signaling, inflammatory pathways, and vascular regulatory mechanisms. Al-based analyses will identify key molecular pathways for mechanistic investigation in primary human trophoblasts, trophoblast stem cells, placental organoids, and related experimental systems. The project will also intersect with analysis of extracellular vesicle and with other therapeutically relevant agents. Findings will be validated in human tissue samples to ensure biological relevance.
By combining mechanistic experimentation, multiomics, human tissue validation, and Al-driven discovery, this project offers an exceptional transdisciplinary training opportunity at the forefront of placental biology, with strong potential to advance our understanding of human pregnancy and improve strategies for preventing preeclampsia.
- Highly motivated postdoctoral scholar, with strong molecular and cellular biology skills, applied to understand the biology pf pregnancy and early human development.
- Interest in intersecting the mechanistic research with AI-driven analyses is highly desired.
- A full time computational biology postdoctoral position will become available in 5-6 months.
- A cover letter outlining research interests and career goals
- CV
- Address and phone number of three professional references