The Xie lab in the Department of Infection Biology and Cancer Biology at the Lerner Research Institute, Cleveland Clinic (Cleveland, Ohio) is building a group of biologists, physicians, data scientists, tool builders et al. We are recruiting enthusiastic and motivated postdoctoral researchers to join us to study genome structure, dynamics and regulatory mechanisms in cancer and infection disease.
We integrate cutting-edge super-resolution imaging (Xie et al., Nature Methods, 2020), live cell single molecule imaging (Xie et al., Genes & Development, 2017; Knight, Xie et al., Science, 2015) with modern genomics and genome engineering approaches to study the 4D architecture and dynamics of the mammalian genome (Xie et al., Mol.Sys.Bio, 2021) and the fundamental genome regulatory mechanisms in cancer evolution and infection diseases (King*, Yost*, Xie* et al., Nature, 2021). We seek to understand how the epigenetic network (e.g., writers, reader, effectors), particularly the BET family proteins, regulate genome structure and function (Xie et al, Nature Genetics, 2022) with the hope of discovering novel druggable targets to improve cancer therapeutics and to fight against infection. We are also interested in tool development to label, image and manipulate the human genome to improve disease diagnosis and in dissecting the interplay between genome regulation and other fundamental biological processes (e.g., immune response).
Cleveland Clinic is constantly ranked as one of the top national hospital systems. Our lab is situated in a highly collaborative basic research environment at Cleveland Clinic with unrestricted access to state-of-the-art core facilities and unbound translational research possibilities.
The postdoctoral fellow positions are supported by the generous startup package and institutional funding from Cleveland Clinic. The compensation is based on NIH standard and commensurate with past research experiences. Excellent insurance and benefit packages are included. The candidates should have a Ph.D. and/or M.D. degree with demonstrated track-records of research publications (e.g., first author peer-reviewed articles) and good English communication skills. Preference will be given to self-driven and detail-orientated candidates. Prior experiences in molecular biology, cell biology, animal models and computation (e.g., Matlab, Python, R) are advantageous.
Successful candidates will perform mentored independent research, lead cutting-edge projects, acquire state-of-the-art imaging experiences and participate in guided collaborations, with the encouragement for developing unconventional ideas, risky projects and interdisciplinary approaches. By the end of the training, we anticipate the trainees to develop multidisciplinary mindsets to solve important biomedical questions and equip with critical thinking, excellent communication and presentation skills ready for their next level of career advancement.
Interested individuals should directly email Dr. Liangqi (Frank) Xie at XIEL2@ccf.org and firstname.lastname@example.org
The email is expected to include
1) A cover letter describing prior research background, future research interests, career goals, and estimated start time.
2) A CV, including publications and contact information for 3 referees.