Are you looking to contribute to groundbreaking research? We look forward to having you join our team!
Cedars-Sinai is an international leader in biomedical research, we translate discoveries into successful treatments with global impact.
Dr. Zijun Frank Zhang is looking for a Postdoctoral Scientist to join a diverse team!
Research in the Zhang laboratory uses statistical learning and deep learning as the unifying language to communicate across research areas in Computational Biology. Currently the primary research interests include:
- Automated Deep Learning (AutoDL)-powered Interpretation of Genetic Variations
- Post-transcriptional and Transcriptional Regulatory Network
Working independently but in close collaboration and in consultation with the Principal Investigator and other Research Scientists, as a Postdoctoral Scientist, you will perform routine and complex laboratory procedures throughout this training period. You may develop, adapt, and implement new research techniques and protocols. This position is not responsible for generating grant funds.
Additionally, the incumbent will perform and lead in biomedical research projects using programming, data-mining, statistics, machine-learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis. This role is responsible for conducting computational research, supervised and unsupervised machine learning, deploying production models, communication of scientific findings via peer-reviewed publications and scientific conferences. The Postdoctoral Scientist writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
**This position is hybrid.
Primary Duties and Responsibilities:
- May assist in preparation of grant proposals.
- May participate in publications and presentations as author or co-author.
- Designs and performs experiments.
- Will keep appropriate experimental records and documentation, and analyze the results.
- Analyzes, interprets, summarizes, and compiles data.
- Operates and maintains equipment and instruments.
Education:
- Ph.D. in Computational Biology, Computer Science, Statistics, or related field is required.
Experience:
- Works independently on research projects designed by a mentor (typically the PI) within area of specialization.
- Acquires complete technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment.
- Demonstrated ability to perform experimental protocols and procedures, including detailed data collection as well as analysis and operation of equipment.
- Knowledge of safety standards and maintenance of specialized equipment.
Tags: Los Angeles, CA