Exciting postdoctoral research opportunities are currently open within our dynamic research group at the intersection of single-cell genomics and machine learning. Explore the cutting-edge realm of bioinformatics and computational biology by joining us at osmanbeyoglulab.com. We are seeking two types of candidates to contribute to groundbreaking projects:
Method Development Enthusiasts:
*Dive into the development and application of advanced methodologies, including interpretable deep learning tailored for single-cell multi-omics data integration.
*Work on the forefront of technology, pushing the boundaries of what is possible in data analysis and interpretation.
Precision Medicine Pioneers:
*Contribute to the application and enhancement of methods focused on delineating cell context-specific regulatory programs.
*Tackle clinically relevant questions in the fields of cancer and immunology, shaping the future of precision medicine.
Collaboration and Networking:
*Foster collaborative partnerships with professionals in the field through engagement in interdisciplinary projects.
*Present your innovative work at top conferences and contribute to high-impact journal publications, extending the reach and influence of your research.
Environment:
* The Osmanbeyoglu Lab is a computational omics lab at the University of Pittsburgh. We are affiliated with the Department of Biomedical Informatics, Bioengineering, Biostatistics, the Center for Systems Immunology, and UPMC Hillman Cancer Center
* Our projects receive funding from prestigious entities such as the National Cancer Institute (NCI) and the National Institute of General Medical Sciences (NIGMS).
* The University of Pittsburgh consistently attains a top-three national ranking for NIH biomedical research funding. Additionally, the UPMC Hillman Cancer Center has recently earned the impressive #7 position according to the US News & World Report.
* As part of our commitment to supporting exceptional talent, candidates have the opportunity to apply for an enhanced stipend and career development funding through the Hillman Postdoctoral Fellow for Innovative Cancer Research. Further details are available at hillmanresearch.upmc.edu/research/hillman-fellows/postdoctoral/.
For more information on the laboratory and its research, please see the following publications and our website (osmanbeyoglulab.com):
1. Tao Y*, Ma X*, Palmer D, Schwartz R, Lu X, Osmanbeyoglu HU. Interpretable deep learning for chromatin-informed inference of transcriptional programs driven by somatic alterations across cancers Nucleic Acids Research, 2022; gkac881, doi.org/10.1093
2. Ma X*, Somasundaram A*, Qi Z, Hartman D, Singh H, Osmanbeyoglu HU (2021) SPaRTAN, a computational framework for linking cell-surface receptors to transcriptional regulators. Nucleic Acids Research, Volume 49, Issue 17, 27 September 2021, Pages 9633–9647, doi.org/10.1093/nar/gkab745
This opportunity provides a unique platform for a machine learning expert to broaden their horizons and contribute meaningfully to the field of systems biology. If you are driven by innovation and ready to make a significant impact, we encourage you to explore this position with us. Join us in pushing the boundaries of scientific discovery and application. Apply now and be part of a transformative research journey at the forefront of computational biology.
Ideal Candidate:
*PhD degree in a quantitative field.
*Possesses a strong background in machine learning and is eager to gain domain-specific experience in the fields of cancer and immunology.
*Thrives in a collaborative and interdisciplinary research environment, demonstrating a passion for pushing the boundaries of current scientific understanding.
This opportunity provides a unique platform for machine learning expert to broaden their horizons and contribute meaningfully to the field of systems biology. If you are driven by innovation and ready to make a significant impact, we encourage you to explore this position with us. Join us in pushing the boundaries of scientific discovery and application. Apply now and be part of a transformative research journey at the forefront of computational biology.
If you are interested in this exciting opportunity, kindly reach out by sending an email to Dr. Osmanbeyoglu at osmanbeyogluhu@pitt.edu. Please ensure to include your CV, complete with references, and a brief overview of your research interests. To streamline the application process, kindly use "POSTDOC-APPLICATION-2024" as the subject line of your email.
We strongly encourage individuals from underrepresented minorities or disadvantaged backgrounds to apply. We believe in fostering diversity and inclusion within our research community.
Benefits:
Successful candidates will enjoy standard employee benefits, including outstanding health coverage. We are committed to providing a supportive and inclusive environment where every researcher can thrive. Join us in advancing scientific knowledge and making a positive impact on the fields of single-cell genomics and machine learning. Apply today and be part of our innovative research journey.