Lund University (LU)

The Center for Translational Genomics (CTG) is looking for an experienced bioinformatician

Lund University (LU)

Lund, Sweden

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 600 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research tradition. Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1,800 employees and 2,700 students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world.

The Department of Laboratory Medicine is one of six departments at Lund University’s Faculty of Medicine. We conduct leading research, both broad and specialised, within the field of laboratory medicine, focusing on the onset of disease and how we can improve diagnostics and treatment for patients. Some of our strongest areas with world-class research deal with cancer, genetics and blood.
CTG (https://www.ctg.lu.se/) is a prioritized research infrastructure at the Faculty of Medicine at Lund University, co-funded by Lund University, Region Skåne and SciLifeLab. At the center there is great expertise in sequencing and genomics technologies, and from a national and international perspective, the unit is at the forefront of technology with access to very powerful sequencing instruments (eg Illumina’s NovaSeq as well as long read instruments, eg Oxford Nanopore GridION) and methods for single cell analysis. For high performance computations, the center uses a dedicated cluster at Lund University’s super computer center (LUNARC). CTG works in close collaboration with the Center for Molecular Diagnostics (CMD), Region Skåne, in state-of-the-art and specifically adapted facilities to quickly translate research findings into patient benefits in the form of clinical diagnostics. CTG together with CMD also constitutes a full member facility within the national research infrastructure SciLifeLab (Clinical Genomics Lund, part of the Diagnostics Development platform), and is one of the leading players in the national sequencing initiative Genomic Medicine Sweden (https://genomicmedicine.se/).

CTG currently has about fifteen employees with expertise in molecular biology, bioinformatics and programming/system development.

Work description

The position as experienced (senior) bioinformatician is new and can be customized together with the operational manager of the unit. The main tasks are:

• Overall responsibility for bioinformatic routines and workflows for data from the latest sequencing techniques, including whole-genome sequencing (WGS, short and long reads), RNA sequencing, pan-cancer panels and single-cell sequencing.
• Support researchers at Lund University with advanced bioinformatic analysis, including experimental design, data analysis, interpretation and publication.
• Project management of sequencing projects for customers at Lund University.
• Development of tools and workflows for bioinformatic analyzes for research and for clinical purposes.
• Training and supervision in bioinformatics, externally and internally, i.e. both of other researchers and of other employees within the unit.
• Opportunity to conduct own research and/or customize a role in clinical diagnostics (in collaboration with CMD).
• Opportunity to participate in national cutting-edge collaborations in genomics and bioinformatics, eg via SciLifeLab and the Swedish national sequencing initiative Genomic Medicine Sweden.

Data analysis and internal project/data management of research projects within CTG are the primary working tasks, which will be carried out in collaboration with translational and clinical researchers at primarily Lund University and within regional health care. The work can include anything from smaller tasks (such as compiling quality control data and delivering raw data) to in-depth analysis where you have overall responsibility for the bioinformatic aspects.

Requirements

The applicant shall have:

-Doctoral degree (PhD) from appropriate research field (ie with bioinformatics and genomics as a base) or equivalent (at least 4 years) work experience or advanced studies in bioinformatics, from business, healthcare or academia
-Experience in working with sequencing data (e.g. WGS, WES or RNA-seq)
-Experience in working with a terminal based in Linux environment and in working with at least one scripting language (eg Python, Perl or R)
-Excellent
o communication skills in English (oral and written)
o collaboration skills
o abilities to structure and prioritize between variety of work tasks
o ability to work independently and develop new methods and protocols when existing
routines are lacking

Merits

-Documented and relevant leadership experience
-Experience in supervision and/or teaching
-Excellent communication skills in Swedish (oral and written)

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. We kindly decline all sales and marketing contacts.

To apply: https://lu.varbi.com/en/what:job/jobID:294823/type:job/where:4/apply:1

Type of employment Permanent position
Contract type Full time
First day of employment 2019-11-01
Salary Monthly
Number of positions 1
Working hours 100%
City Lund
County Skåne län
Country Sweden
Reference number PA2019/3381
Contact
Thoas Fioretos, +46462224595
Tilde Lindgren, 046-2220000

Union representative
OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62
SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64
SEKO: Seko Civil, 046-222 93 66

Please apply via recruiter’s website.

Quote Reference: PA2019/3381

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