aging. Our research integrates mouse models, quantitative cell and tissue biology, imaging approaches, stable-isotope tracing, and mass-spectrometry–based omics to uncover molecular pathways that regulate reproductive biology and cellular communication in complex tissues. Learn more about the lab at bombawarczaklab.com.Projects will be tailored to the interests of the successful candidate within broadly defined research themes including:• Mechanisms regulating ovarian follicle biology and oocyte development • Molecular communication between somatic and germ cells within reproductive tissues • Systems-level analysis of metabolic and proteomic dynamics in reproductive physiology • Cellular and molecular determinants of reproductive aging and tissue resilienceThe Bomba-Warczak Lab is based at the Perelman School of Medicine's Department of Phyisology at the University of Pennsylvania, within a highly collaborative scientific environment that provides access to world-class facilities for proteomics, metabolomics, imaging, and mouse genetics. Our lab emphasizes rigorous science, intellectual independence, and strong mentorship supporting diverse career trajectories.
Qualifications:
Required Qualifications• PhD in Reproductive Biology, Developmental Biology, Physiology, Cell Biology, or a related field
• Demonstrated research experience in reproductive science (e.g., ovarian biology, follicle biology, oocyte biology, reproductive physiology, or related areas)
• At least one first-author primary research publication in a peer-reviewed journal
• Strong experimental and analytical skills in molecular, cellular, or tissue biology
• Ability to independently design and execute experimentsPreferred Qualifications• Experience working with mammalian systems and/or mouse models
• Exposure to mass spectrometry, proteomics, metabolomics, stable-isotope tracing, or metabolic analysis
• Experience with ovarian or reproductive tissue workflows (e.g., follicle/oocyte work, reproductive physiology models, imaging-based assays)
• Computational/data analysis skills (R, Python, or similar)
Application Instructions:
Applicants should submit a CV, cover letter, a PDF with relevant publication(s), and provide 3 contacts for references.
In the cover letter, applicants should describe their rseaech experience and indicate the experimental direction they would like to pursue in the lab.
Candidates requiring visa sponsorship are welcome to apply.
