Postdoc in Computational Biology

at  Syddansk Universitet

The Department of Molecular Medicine is recruiting a postdoc in Computational Biology. The position is available from August 1, 2024 or as soon as possible thereafter. The position is initially for six months with the possibility of long-term extension .
The Department of Molecular Medicine (IMM) aims to generate new knowledge on the function of the human body and disease mechanisms, thereby contributing to improved human health. IMM hosts an interdisciplinary group of experts in cancer biology and neurobiology and is in close proximity to the experts in genomics, proteomics and chromatin biology. Such a promising environment elicits translational collaborations with clinical practice and research toward understanding mechanisms underlying the pathophysiology of various human diseases.
Applications are invited for the position of postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari ( https://www .tiwarilab.org/). Tiwari lab employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation. In this project, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate can use and combine single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep learning. Depending on the interest, it is also possible to be involved in the wet lab, to perform single-cell sequencing and other experiments.
To learn more, please refer to the selected publications from the Tiwari lab:
Science Advances, 2024, in press; EMBO Mol Medicine, 2024, Apr ; 16(4):823-853 ; Nature Communications , 2024, in press; npj Precision Oncology , 2024, Mar 12;8(1):64; Nature Cell Biology , 2022, 24, 1265–1277; Genes & Development , 2020, Sep; 34(17-18):1190-1209; Nature, 2019, Mar; 567(7746):113-117; Cell Stem Cell , 2018, Oct 4; 23(4):557; Nature Communications, 2017 Nov 15;8(1):1523; The EMBO Journal , 2016 Jan 4;35(1):24-45; J Cell Science , 2015 Dec 1;128(23):4380-94; The EMBO Journal , 2015 Aug 13;34(16):2162-81; Genome Research , 2015 Sep;25(9):1309-24; Nature Communications , 2013, Sep 27; 4:2478; Cancer Cell , 2013, 23, 768-783; PNAS , 2012 Apr 17;109(16): E934-43; Nature Genetics , 2012 Jan; 18;44(1):94-100; Nature , 2011 Dec 14;480 (7378):490-5.

REQUIRED QUALIFICATIONS

• PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent
• Excellent track record in Bioinformatics with at least one first-author publication, accepted or submitted
• Experience with machine learning is a plus (e.g., Tensorflow/Keras/PyTorch).
• Experience with software containers and/or NextFlow is a plus.
• Programming experience is required (Python, R).
• Strong analytical, organizational, and record-keeping skills
• Interest in working in a multidisciplinary and multicultural team
• Willing to collaborate with internal and external collaborators as well as support group members
• Experience and interest in teaching

Please refer the Job description for details