Postdoctoral studies in Computational and Structural RNA Biology (scholarship)

Do you want to contribute to top quality medical research? The Department of Microbiology, Tumor and Cell Biology (MTC) at

Karolinska Institutet conducts research and teaching within immunology, infection biology, cell biology and cancer. MTC has about

40 research groups and our key words are multidisciplinary, bridging, national and international collaborations. Vicente

Pelechano's Research Group combines experimental and computational approaches to address fundamental biological questions with

medical implications. We develop and apply genome-wide technologies to understand how RNA sequence, structure and regulation shape

cellular phenotypes. We are particularly interested in RNA biology and in how subtle variations in gene expression lead to

differential cellular responses (http://pelechanolab.com/). You will have the opportunity to work in a highly interdisciplinary

and international environment and combine the development of state-of-the art genome-wide approaches with the molecular dissection

of fundamental biological problems. Are you interested in understanding how RNA structure shapes post-transcriptional gene

regulation? Would you like to develop computational approaches to uncover how RNA sequence and structure control mRNA fate?

Division Our laboratory is located at the Science for Life Laboratory division from MTC (SciLifeLab, http://www.scilifelab.se/) in

the Karolinska Institute campus. SciLifeLab is equipped with state-of-the-art instrumentation and core facilities. Our division is

committed to advancing scientific knowledge and developing cutting- edge technologies in the fields of molecular biology,

genomics, and bioinformatics. Duties The available postdoctoral position concerns developing and applying computational and

experimental approaches to study RNA structure and post-transcriptional gene regulation. The candidate will focus on understanding

how sequence variation in untranslated regions (UTRs) shapes RNA structure and thereby influences mRNA fate, including

localisation, stability and translation. The candidate will integrate RNA structure prediction and modelling with genome-wide

experimental datasets, using complementary systems in human cells and yeast. A particular focus will be placed on alternative 3′

UTR isoforms and on natural and engineered UTR sequence variation, with the aim of developing structure-aware predictive models of

RNA regulation. The candidate will perform original research in computational and RNA biology and acquire the experimental and

computational skills necessary for the completion of the project. The candidate is expected to communicate scientific results

through scientific publications and presentations at scientific meetings, participate in the general duties of the team, and

interact effectively with scientists from diverse backgrounds in a highly interdisciplinary and international environment. The

working language is English. Entry requirements Postdoctoral scholarships may be established for foreign researchers who pursue

their merit in Sweden. A foreign researcher is a person living in another country who comes to Sweden with the intention of only

staying in Sweden for all or part of their postdoctoral education at KI. Persons who are resident in Sweden and/or have carried

out all or part of their academic education at KI or some other educational institution in Sweden cannot be considered for

scholarships. The purpose of scholarships for postdoctoral qualification is to promote internationalization and contribute to

research qualification after a doctorate or equivalent. A scholarship for carrying out postdoctoral research can be granted for a

maximum of two years within a four-year period following the receipt of a doctoral degree or equivalent. To be eligible for a

postdoctoral scholarship, the person must have obtained a doctorate, or a foreign degree deemed to be equivalent to a doctorate.

Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements

for a completed degree are met before the (intended) start date of the post-doctoral education. The successful applicant should

have experience interpreting biological data and a strong interest in interdisciplinary research at the interface of RNA biology,

computational biology and RNA structure. Suitable candidates should have a strong research background in computational biology,

RNA biology, RNA structure or a related field, together with documented experience in computational analysis of gene regulation.

Candidates should have high-quality publications, good knowledge of English (spoken and written), and strong motivation to

investigate the molecular mechanisms underlying RNA regulation. In the appointment, special weight will be attached to scientific

skills relevant to the project and previous research experience. A good understanding of RNA biology and post-transcriptional gene

regulation is essential, with particular interest in the relationship between RNA sequence, structure and function. The successful

applicant should have experience interpreting biological data, formulating hypotheses and developing approaches to test them.

Documented experience with computational analyses and bioinformatics, using languages such as Python and/or R, is necessary. Good

interpersonal skills and the ability to work effectively in a team are essential. In addition to the aforementioned requirements

for the position: - Experience in RNA structural biology, RNA structure prediction and/or structural bioinformatics. - Experience

with large-scale sequence or functional genomics datasets, particularly in the context of UTRs or post-transcriptional gene

regulation. - A strong interest in interdisciplinary method development, together with novel and creative thinking abilities, is

essential. Meritorious for the position:

• Experience with machine learning or predictive modelling of biological sequences. -

Experience with RNA structure prediction or structure-guided sequence design. - Experience integrating computational predictions

with experimental biological data. - Experience developing reproducible computational workflows and managing biological datasets.

• Experience in yeast genetics, genomics or RNA biology would be advantageous. What do we offer? A creative and inspiring

environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities.

Here, we conduct innovative medical research and provide the largest range of biomedical education in Sweden. At KI, you get to

meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and

experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI

to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A

close relationship with the health care providers is important for creating groundbreaking top quality education and research.

Students and employees have free access to our modern gym facilities with trained staff on site. Location: Solna Type of

scholarship The amount is tax free and it is set for twelve months at a time, paid out on a six months basis. In exceptional

cases, shorter periods may be acceptable. Application process An application must contain the following documents in English or

Swedish:

• A complete curriculum vitae, including date of the thesis defence, title of the thesis, previous academic positions,

academic title, current position, academic distinctions, and committee work - A complete list of publications - A summary of

current work (no more than one page) The application is to be submitted on the Varbi recruitment system. Want to make a

difference? Join us and contribute to better health for all!