The laboratory applies and develops state-of-art single-cell approaches to study mechanisms involved in cell cycle control of stem cell specification and cell-fate decisions during embryonic development (see Natarajan et al. 2017 Curr Op Gen Dev; Kolodziejczyk et al. 2015 Cell Stem Cell; Tuck et al. 2018 Life Science Alliance; Buettner*, Natarajan* et al 2015 Nature Biotechnology). We employ several interdisciplinary methods incl. high-throughput single-cell imaging, genomics (transcriptomics, chromatin accessibility, multi-omics), Flow cytometry and genome editing to profile transgenic embryonic stem cells and mouse models.
We also develop computational methods for high-throughput analyses of omics datasets and publicly available clinical datasets. We are part of the SDU eScience centre hosting and utilizing the DeiC National high-performance computing centre (ABACUS 2.0) for our research. Additionally, we have a strong network of international experimental and computational collaborators. Please check links for more information about Kedar Natarajan and the Natarajan Laboratory.
The unit and department
Our laboratory is a core part of the Functional Genomics and Metabolism Unit, which hosts five independent research groups that perform a variety of basic and functional genomics research. We are based within the Department of Biochemistry and Molecular Biology at the University of Southern Denmark, Odense which hosts more than 20 research groups. The Unit and department offer an international working environment with state-of-the-art facilities for next generation sequencing, Flow cytometry, single-cell transcriptomics, Mass spectrometry, and National Bioimaging facility among others. We also have close ties to the Odense University Hospital (OUH).
Research project and role
You will be the main driver in our new project to investigate cell cycle driven gene regulatory mechanisms using single-cell Omics data. You will apply integrative computational approaches and develop new methods for high-throughput analysis of bulk and single-cell data including imaging, transcriptomics, genomics, ATAC-seq etc. to identify key driver genes and dissect regulatory mechanisms using in house and published datasets. You will also implement computational pipelines for streamlined analysis of bulk and single-cell data within the group.
You will have substantial input in our group's ongoing research projects and also support them. You will have the opportunity to develop your own ideas within our larger research framework, which can potentially be supported by experiments from our laboratory and collaborators.
We are looking for highly motivated and enthusiastic scientists with the following competences and experience:
• PhD (or awaiting degree) in Bioinformatics, Systems biology, Computer Science or Computational Biology with documented experience in analysis of large-scale biological datasets (ChIP/ATAC/RNA-seq etc.) and statistical analysis.
• Strong proficiency in Python or R and experience in high-performance computing environment using Linux/UNIX.
• Ideally one first authorship in relevant journal in the field.
• Strong communication and collaboration skills.
• Excellent written and oral communication skills in English.
• Experience with analysis of single cell genomics/transcriptomics etc. datasets.
• Experience with applying supervised/unsupervised statistical learning and mathematical methods.
• Interest in graphical data visualisation (Shiny, Plot.ly, Dash etc.).
• A two-year post in first instance (further extendable) with a competitive salary and social benefits (e.g. health coverage, parental leave, social security etc.).
• Access to state-of-the art tools, facilities and infrastructure and network of international collaborators.
• A stimulating and supportive international research environment.
• Dedicated assistance and support with various practical, social, legal aspects (housing, visa, administration, tax etc.), especially for international candidates through our international staff office (ISO) and department.
Informal queries can be made to Kedar Natarajan firstname.lastname@example.org or Susanne Mandrup (email@example.com). We welcome letters of interest towards the position.
Application, salary etc.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.
The application must be in English and include the following:
• CV incl. education, work/research experience and skills relevant for the position.
• Copy of PhD certificate. If awaiting PhD, provide a written statement from the supervisor.
• List of publications
• At least two letters of reference (with referee contact details and relationship). Should your referees wish to send their letters directly to us, please have them use e-mail: firstname.lastname@example.org mentioning your name and the title of the position in the subject line. And please note that these also need to reach us before deadline.
Shortlisting may be used in the assessment process.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated.
To qualify you must have passed a PhD or equivalent. Applications will be assessed by an expert assessor/committee. Applicants will be informed of their assessment by the university.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
Further information for international applicants about entering and working in Denmark.