The lab of professor Jesper Tegnér at KAUST has an opening for one postdoctoral fellowship (postdoc.kaust.edu.sa) to investigate molecular networks governing transitions between different cellular states. This position suits recent PhDs, MD/PhDs, with a career interest in single cell genomics, CRISPR, Stem Cell Biology working in an interdisciplinary team. The position is fully funded including salary and generous project funding.
The Living Systems Laboratory (livingsystems.kaust.edu.sa) offers an excellent interdisciplinary environment where experimentalists work closely with computational experts utilizing state-of-the-art genomic technologies. We ask fundamental questions on how cells operate as molecular machines with special reference to the dynamic gene regulatory networks governing cellular identity and stability of states. The project targets specifically how the regulation and dynamics of these networks change and enable cellular reprogramming. The experimental work will be carried out in close collaboration with team members who are experts in bioinformatics, machine learning, and mathematical modeling. We honestly think that asking deep questions in a team of different mindsets working together is a path towards fundamental understanding as well as enabling biomedical applications. Decoding the architecture and dynamics of cellular networks governing reprogramming of cells may open the gateway to precision engineering of cells and in extension precision medicine.
We are embedded in BESE division (bese.kaust.edu.sa), which extends and supports a multi-disciplinary work environment. Furthermore, through the core laboratories (corelabs.kaust.edu.sa) we have access to the most recent equipment such as imaging, sequencing, and single-cell genomics. Our workplace is truly international. We have several international collaborations, including Karolinska Institutet (compmed.se).
The ideal candidate combines experience and interest in single cell genomics, CRISPR, cell culture, stem cells, method/protocol development, RNA isolation, preparation of samples for omic analyses such as single cell RNAseq, single cell ATACseq, and other data-types. It is a plus if you know or are interested in single cell analysis and computational biology.
You are highly motivated, energetic, determined, well organized, self-motivated, and independent. You have a well-developed ability and the appropriate temperament to work collaboratively within a multidisciplinary team. Here you are open-minded and critical at the same time while ready to speak up. You like to solve scientific problems, and have a strong work ethic, integrity, and professionalism.