Job Description:
We are seeking a creative and highly-motivated postdoctoral associate in Computational Biology to join our study and analysis of single-cell genomic data. The Regev lab is a dynamic, multi-disciplinary group that develops the technologies and computational algorithms and analytics needed to decipher the transcriptional circuits that control gene expression and cell phenotype within cells and tissues. As a pioneer in the development and application of experimental and computational methods for high-throughput single-cell RNA sequencing, we are focused on understanding single cell-level gene expression changes in response to internal and external perturbations, in both normal physiology and in disease. The ideal candidate will have an interdisciplinary background in bioinformatics/computational biology and mammalian physiology, and will have made significant contributions to their area of study as evidenced by a strong publication record in internationally-recognized, peer-reviewed journals. REQUIREMENTS Qualified candidates should have:
Additional Info:
EOE / Minorities / Females / Protected Veterans / Disabilities [Click Here to Access the Original Job Post]
We are seeking a creative and highly-motivated postdoctoral associate in Computational Biology to join our study and analysis of single-cell genomic data. The Regev lab is a dynamic, multi-disciplinary group that develops the technologies and computational algorithms and analytics needed to decipher the transcriptional circuits that control gene expression and cell phenotype within cells and tissues. As a pioneer in the development and application of experimental and computational methods for high-throughput single-cell RNA sequencing, we are focused on understanding single cell-level gene expression changes in response to internal and external perturbations, in both normal physiology and in disease. The ideal candidate will have an interdisciplinary background in bioinformatics/computational biology and mammalian physiology, and will have made significant contributions to their area of study as evidenced by a strong publication record in internationally-recognized, peer-reviewed journals. REQUIREMENTS Qualified candidates should have:
- A Ph.D. in computational biology, computer science, engineering, mathematics, physics, or related field
- Proficiency at programing in a modern programing language (e.g. Python), with knowledge of R/MATLAB
- Extensive experience with data analysis as demonstrated in published work.
- Proficiency in effective use of data structures and techniques for processing and manipulation of large-scale sparse and dense data-sets
- In-depth knowledge of statistical methods and/or machine learning methodologies
- Demonstrated applied bioinformatics/computational proficiency as evidenced by relevant publications in internationally-recognized, peer-reviewed journals
- Excellent communication skills and the ability to interact professionally with all levels of staff and with external contacts in a fast paced environment required
- Must be driven and passionate about science, have demonstrated ability to learn new skills and thrive independently, and have the ability to work with minimal supervision.
Requeriments :
Skills :
- Machine Learning
- Programing in Python
- Programing Skills
- Programming in Matlab
- Programming in R
- RNA-seq
- Statistics
Areas :
Additional Info:
EOE / Minorities / Females / Protected Veterans / Disabilities [Click Here to Access the Original Job Post]