Senior Research Scientist, Research Scientist and/or Postdoctoral Researcher [TTT-1405]

RIKEN Center for Life Sciences Technologies, Division of Genomic Technologies (Division Director: Piero Carninci)
Job Location
Yokohama, Japan
Depending on experience and qualification

Other provisions are in accordance with RIKEN regulations. *RIKEN has a gender equity program with various measures to create a workplace where both men and women are able to give full rein to their talents and abilities. *Eligible to apply for MEXT Grants-in-Aid for Scientific Research (Kakenhi) and other external funds, and will be eligible for an exemption from repayment of category 1 scholarship loans provided by the Japan Student Services Organization before fiscal year 2003.

Job Description

Successful candidates will do analyses on next generation sequencing datasets, including the following: RNA-seq, cap-analysis gene expression (CAGE), ChIP-seq or shortRNA-seq datasets, and is likely to work on integration of different data types, with the mission of extracting data of biological significance from next-generation sequencing data. This is a core funded position and, as such, the individual will contribute on projects of importance to the division. Tasks common to all positions are as follows: Help plan experiments Push core projects to completion Generate first author publications on core and related work Document code and analyses so others can follow the work done Give oral and posters presentations at conferences Position-specific tasks are as follows: *Senior Research Scientist: Assists his/her Team Leader, provides instruction to other team researchers, etc., and carries out research and other work in accordance with team research themes. *Research Scientist: Carries out the research and other work in accordance with team research themes. Will occasionally be asked to provide instruction to junior staff, etc. *Postdoctoral Researcher: Carries out the research and other work in accordance with team research themes under the mentorship and training of supervisors.


Demonstrated track record of publication in any of the following (or related) areas. Large-scale transcriptome analysis Integration of large-scale sequence datasets (RNA-seq, CAGE, ChIP-seq, DHS, etc.) Systems biology and transcriptional regulatory network prediction Cross-species sequences or network comparison Matched genome-transcriptome studies, including eQTL identification Machine learning and pattern recognition Promoter architecture and motif finding De-convolution of cell mixtures from tissue expression profiles Experience with working in a multiuser Unix/Linux environment. Experience with next-generation sequencing data (especially large next-generation sequencing datasets) is preferred. Experience with RNA-seq assembly (Cufflinks, Trinity, etc.) is preferred. Experience with long noncoding RNA (lncRNA) annotation is preferred. Experience with data integration and transcriptional regulatory networks is preferred. Good team player with an enthusiastic, proactive and constructive attitude (good communication skills are required in order to complete the assigned tasks with members of various nationalities). Comfortable with English professionally for scientific discussion and publication (Japanese language skills are not required).

How to Apply

See details of the call at: Any questions about this position should be sent to the email address below. Please write “[TTT-1405] Application for DGT, CLST” in the subject line. Inquiries about application documents Recruiting staff for RIKEN Center for Life Science Technologies Administrative Division, RIKEN Yokohama Branch CLST-recruit[at] *Please replace “[at]” with “@”. Inquiries about research content RIKEN Life Science Technologies Planning Office clst-jobs[at] *Please replace “[at]” with “@”.

About Our Organization

The RIKEN Center for Life Science Technologies has two core purposes. One is to develop key technologies for breakthroughs in the medical and pharmaceutical applications of life science. The other is to conduct groundbreaking research and development for the next-generation life sciences. The Division of Genomic Technologies plans to develop methods for screening of key regulatory factors, with selection based on transcriptional networks, epigenomes and ncRNAs, in order to establish a pipeline to accomplish complete cell conversion methods, including differentiation of stem cells safely and terminally. We also develop methods for diagnosis of human biomarkers for human health and diseases. The Transcriptome Technology Team develops technologies to comprehensively detect non-coding RNAs and comprehensively screen their functions. Using those technologies, we explore regulatory interactions of ncRNAs within cells, interactions with chromatin, retrotransposition, and ncRNA’s role in the regulation of protein synthesis. Additional emphasis is given to the standardization of transcriptome technologies like CAGE.

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