Fellowship
We search for a highly motivated postdoctoral fellow with a strong background in bioinformatics to join three research teams dedicated to understand the function and dynamics of 3D epigenome folding and its deregulation in diseases. The projects are expected to uncover hitherto unknown therapeutic targets in complex diseases, such as cancer and diabetes. The candidate will work together with the research groups of Drs Anita Göndör and Rolf Ohlsson who have innovated state-of-the-art techniques enabling the analysis of 3D chromatin structures and chromatin fibre networks in single cells and small cell populations (under review) to provide unique opportunities for novel discoveries. The candidate will also work with the group of Dr. Laura Baranello, who studies the functional and spatial coordination between transcription and DNA topology within the chromatin context. A combination of biochemical and newly–developed approaches for next-generation sequencing will help to elucidate how topoisomerase activity is regulated. This will provide a new rational to interfere with transcription to affect the growth of cancer cells. It is anticipated that the candidate will work in close collaboration with researchers at the National Institutes of Health in the USA.

For further information about our work, please consult the following recent publications: Zhao et al, Mol Cell 59:984-97 (2015); Feinberg, Koldobiskiy and Göndör, Nature Review Genetics 17:284-99 (2016), Göndör and Ohlsson, Nature 2009; Baranello et al, Cell, 165:357-71 (2016); Baranello et al, Biochim Biophys Acta 1819:632-8 (2012).

Model systems are exclusively based on human cells and unique, well-characterized patient material, such liquid and solid tumors as well as muscle and adipose tissue. The successful candidate will join three groups consisting of 5 postdocs and 4 PhD students.

Entry requirements
A person is eligible for a two-year tax-free postdoctoral fellowship/scholarship in bioinformatics, if he or she has obtained a PhD or equivalent in Computational Biology, Computer Engineering, or a relevant quantitative scientific discipline no more than two years before the first date of employment as postdoc. In addition, it is advantageous if the successful candidate has:

• Experience in the analysis of NGS data, in particular: RNA-seq, single cell RNA-seq, ChIP-seq, 3C-based chromatin interactome datasets
• Experience in network analysis and excellent knowledge in biostatistics 
• Extensive experience in using R/BioConductor, Unix/Linux environment (prior scripting language experience e.g. Python/Perl is a plus)
• Experience in data visualization
• Experience in meta-analysis
• Experience in SNP calling from NGS data is a plus
• Proficiency in written and spoken English
• Good understanding of biological concepts and/or willingness to learn
• Experience in working with wet lab scientists is a plus

A high level of organizational and communication skills, as well as an ability to independently perform experiments and implement interpretation of data is mandatory.

Application process
The application must contain the following documents in English:

1. A complete curriculum vitae including the date of the thesis defense, title of the thesis, current position, academic distinctions, and any committee work
2. A complete list of publications
3. A summary of previous and current work (one page, font 12)
4. Verifications for crediting of illness, military service, work for labor unions or student organizations, parental leave or similar
5. Verification from the thesis defense committee or the equivalent (only if the thesis defence is scheduled within three months after the application deadline)
6. References

The application is to be submitted by email to: laura.baranello@ki.se