Postgraduate Position in Stem Cell and Endothelial Cell Biology at the Brisa Palikuqi Lab
The Brisa Palikuqi Lab at the Yale School of Medicine is seeking a Postgraduate Research Associate to join our research team within the Yale Stem Cell Center and the Comparative Medicine Department. Our lab explores the role of stem cells and endothelial cells in tissue regeneration and disease, with a focus on identifying new therapeutic avenues for precision medicine. For more information about our research, visit www.brisapalikuqilab.com.
Training Opportunities
As a postgraduate research associate, you will receive hands-on training in both experimental and computational approaches, including:
- Working with models of intestinal regeneration and disease to investigate how stem cells and endothelial cells contribute to tissue recovery and disease pathology.
- Development and application of mouse and patient - derived stem cell and organoid models.
- Computational analysis of single-cell RNA sequencing and spatial transcriptomics data to examine gene expression patterns and cellular interactions.
- Hands-on training in molecular biology, cell culture, and multiomics approaches to explore cellular behavior and function.
- Imaging techniques (confocal and live-cell imaging) to observe cellular behavior in real time.
Mentoring
You will work closely with Dr. Palikuqi at every stage of the research process, from conceptualizing experiments to interpreting data and presenting findings. Tailored career development opportunities, such as scientific writing and public speaking, will be offered based on your long-term career aspirations. The lab is committed to providing a supportive and collaborative environment that fosters both scientific and personal growth.
Education and Environment
The Brisa Palikuqi Lab is part of a vibrant and diverse research community at Yale, where you will have the opportunity to engage with leading experts in stem cell biology, regenerative medicine, and computational biology. This position offers the chance to deepen your research experience, making it ideal for candidates considering further studies, such as a Ph.D. or M.D./Ph.D., in biomedical sciences.
Qualifications
Candidates must hold a bachelor’s degree in biological sciences, engineering, computer science, statistics, bioinformatics, mathematics, or a related field with strong quantitative and computational training. Prior computational research experience is required, which may include experience gained as an undergraduate. Candidates experienced in any of the following areas will be strongly preferred: single-cell transcriptomic analysis, spatial transcriptomic analysis, analysis of RNA and ChIP sequencing data, and machine learning. A 2-year commitment to the position is encouraged.
Interested applicants should send a brief statement of interest, a curriculum vitae (CV), and contact information for three references to Dr. Brisa Palikuqi at brisa.palikuqi@yale.edu. In your cover letter please include a brief summary of previous research experience, current research interests, and your career goals. A start date of early 2025 is preferred, though applications will be considered on a case by case basis. First round of applications will be reviewed at the end of November 2024.
Yale University is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.