The group of Dr. David Casero applies Bioinformatics, Computational Biology and high-throughput sequencing data to analyze gene regulatory pathways in stem cell and immunobiology. We are particularly interested on understanding the establishment and maintenance of normal tissue homeostasis, supported by molecular interactions between members of the tissue microenvironment (e.g., epithelial, mesenchymal and immune cells) and environmental factors (e.g., signals modulated by the microbiome). With the help of our collaborators, our lab aims to harness the power of multi-omics libraries to generate novel data-driven hypothesis that can pave the way into future mechanistic and translational studies.
For more information about Dr. Casero’s research please visit the group’s website at www.cedars-sinai.org/research/labs/casero-lab.html
A Project Scientist position is open immediately to join our lab. The successful candidate will work within a collaborative team that aims to integrate phenotypic multi-omics data (transcriptomics, proteomics, metabolomics) into predictive and classification models. In this role, the candidate will develop a wide range of computational analysis pipelines, from experimental design to data analyses and visualization to inform drug-discovery efforts and follow-up functional experiments. Therefore, successful candidates should be proficient in the analysis of several multi-omics data types (bulk and single cell RNA-seq, ChIP-Seq, ATAC-seq, metagenomics, metatranscriptomics, spatial transcriptomics) and the use of bioinformatics software and databases.
The candidate should be able to work independently, while being an outstanding collaborator and very well-organized. Our goal is to build a dynamic team dedicated to analyzing and interpreting multi-omics sequencing datasets in both basic and translational studies. This position is an outstanding opportunity to do highly multidisciplinary research in a relevant biomedical problem in collaboration with world-renowned IBD scientists.
We have a number of ongoing projects but successful candidates will be encouraged to develop an individual plan and initiate their own collaborative research.
Educational Requirements:
Doctorate (PhD) in area directly related to field of research specialization (systems biology, computational biology, bioinformatics, applied mathematics, theoretical physics, computer science)
Demonstrated significant, original, and creative contributions to a research or creative program or project
Experience we are seeking:
Completion of postdoctoral appointment in area of specialization, as applicable
Knowledge of PI’s area of research specialization
Demonstrated technical competency in a variety of research techniques and protocols
5 years of experience in genomics, metagenomics, proteomics or other types of high throughput data analysis, preferred
Significant experience in python, R, matlab or other major programming languages, preferred
Strong mathematical background and analytical skills, preferred
Experience in Machine Learning and big data analytics, preferred
Experience in translational genomics, or practical applications of genomics to disease studies, preferred