Germany: Post-doctoral position for Biostatistician / Statistician

The Center for Innovation Competence (ZIK), Department of Host Septomics under the direction of Prof. Dr. Hortense Slevogt is offering a post-doctoral position as (bio-) statistician starting as soon as possible.
 

Post-doctoral position: Biostatistician / Statistician

The position is fixed for 2,5 years in the first instance.

Profile
We are seeking a statistician to investigate molecular patterns of sepsis infections.

The role will require the statistical analysis of large-scale genomic, proteomic and transcriptomic datasets. The position is an excellent opportunity for those with experience in biostatistics, or individuals with a strong quantitative background who are interested in working in an exciting interdisciplinary research area between biology, medicine and statistics.
The key responsibilities of the role include the statistical evaluation of proteomics data obtained from mass spectrometry, and prospectively next-generation sequencing. Additionally, the successful candidate will support the “Host Septomics” researchers with high-quality statistical input into all research activity.

You will have a postgraduate qualification (Ph.D./ M.Sc.) in (bio-) statistics or equivalent with a strong quantitative component. In addition, you have experience in working with large data sets and have applied statistical methodologies, preferably in biology or medicine. You will need to be proficient in the use of statistical software, ideally R, and should have excellent computing and communication skills. Knowledge of gene expression analysis and omics data is not required. Rather we are seeking candidates who enjoy applying statistics to explore current biomedical issues.

About ZIK Host Septomics
Host Septomics examines, analyzes and characterizes these host responses during the course of sepsis. The fundamental understanding of this complex interaction enables innovative diagnostic approaches and therapeutic methods to fight sepsis.

Host Septomics works with methods of functional genomics and proteomics from patients to pathogens as well as using state-of-the-art molecular and cell biology techniques. With this methodology, comparative analyses of transcriptomic and proteomic patterns from healthy and infected tissue are possible. This step is essential in discovering new, important proteins and biomarkers in the course of sepsis. The identified “targets” will be analyzed in view of their diagnostic and therapeutic suitability by using samples obtained from animal models, septic patients and subsequent clinical studies.

The hiring will be made according to prevailing legal norms for limited employment contracts. Severely disabled people with same aptitude will be given preference.

How to apply: 
We recommend to use no folder and to hand in copies only, because your application form will be destroyed according to data protection rules after the hiring process is finished.

Thus it is more favourable to use the possibility of an online application at http://www.uniklinikum-jena.de/MedWeb/-p-13174.html?offerId=1087.

Postdoctoral Position in Biostatistics 2013 UK

We seek a talented and motivated postdoc to join Nick Luscombe’s Laboratory of Computational Biology in London, UK. Our research takes a genomic, integrative approach to understand gene regulation and evolution. We use datasets including genome sequences, gene expression, ChIP-seq, iCLIP and HiC data to gain insights into:

• How gene expression is controlled;

• How this system regulates biologically important behaviours;

• And how a breakdown in this system leads to human diseases.

As part of our recent move to the LRI, we will increasingly focus towards understanding gene regulation and evolution in the context of human diseases and cancer.

Recent research successes include: investigations of evolutionary processes in bacterial genomes (Martincorena et al, Nature 2012); mechanisms of epigenetic regulation in sex determination (Conrad et al, Science 2012); qualitative models of nucleosome-positioning and transcriptional regulation (Zaugg & Luscombe, Genome Res 2012); and a new mechanism to supress aberrant exon formation (Zarnack et al, Cell 2013).

Proposed projects

In this round of applications, we are particularly seeking researchers interested in working on our collaboration with Professor and Jernej Ule (UCL) to investigate protein-RNA interactions on a transcriptome-wide scale, how RNA processing is regulated, and the impact these have on neural functions.

The postdoc will be expected to perform an entirely computational project using publically available datasets, and in parallel, lead a wet/dry collaboratory project with Professor Ule’s laboratory. 

Requirements:

We welcome applications from candidates with diverse educational backgrounds. The ideal candidate will have recently completed or be completing a PhD degree in Biology (molecular biology, genetics, genomics), Computational Biology (bioinformatics, systems biology) or Statistics. Applicants must have a proven publication record.

A computing background is not strictly necessary, but you must be keen to work in a dry setting. For applicants with computing experience, fluency in Linux, and excellent knowledge in a programming language is expected (Perl, Python, C/C++, R/BioConductor, MatLab etc).

Prior experience with handling genome-scale data is advantageous: examples include genome sequence and high-throughput-sequencing data for a range of research applications such as gene expression, protein-DNA/RNA binding, and chromatin conformation measurements.

Postdocs are expected to develop and lead projects, and help supervise junior members of the laboratory. The ability to work in a team is essential.

About us:

The London Reseach Institute has an international reputation for cutting edge research into basic biology and it is committed to training the next generation of research scientists. The four-year LRI Postdoctoral Programme is part of this commitment, and nearly half of Postdoctoral Fellows leave to set up their own research groups. Postdocs also benefit from living and working in one of the world’s greatest scientific, cultural and cosmopolitan capital cities.

The LRI will become part of the Francis Crick Institute in 2015, which will be an entirely new institute with a distinctive vision of how biomedical research in conducted. It will be one of the most significant projects inUKbiomedical science for a generation.

Closing Date: 19th June 2013
 

For More Information

Postdoctoral Position in Statistical Genetics UK

: A 3 year Postdoctoral Research Fellow position is available in statistical genetics. This position is an opportunity for an analytical individual with an interest or experience in biology to apply and develop their skills and interests. The spectrum of biological phenotypes within and between species arises from Darwinian selection acting upon genetic and epigenetic variation. This position is an opportunity to develop and apply methods to detect this variation and examine associations across a range of microbial, plant and animal species.

Requirements:

We seek an enthusiastic individual with a PhD in a quantitative field, e.g. statistics, mathematics or physics, good programming proficiency, some knowledge of genetics, and good written and spoken communication skills.

About us:This position is based at TGAC, an institute supported by the BBSRC. It is located on Norwich Research Park, which also includes the John Innes Centre, and the Institute of Food Research, The Sainsbury Laboratory, the University of East Anglia and the Norfolk and Norwich University Hospital. The research park has an excellent reputation for research, containing a range of research groups in statistics, data mining and computational biology, as well as fundamental biology research.

Contact:

Scientific questions regarding this position can be sent to chris.greenman@tgac.ac.uk. General questions can be directed to HR by calling 01603 450462 or emailing nbi.recruitment@nbi.ac.uk

For More Information

NIH-funded cancer genomics post-doctoral research position

An NIH-funded cancer genomics post-doctoral research position focusing on integrative analysis of next generation sequencing (NGS) data is available within the Maher lab (www.maherlab.com). To fully translate genome-based discoveries into the clinic our group is associated with the Department of Medicine and The Genome Institute (TGI) at Washington University. The successful applicant will focus on applying and developing computational and statistical tools to analyze whole genome and transcriptome sequencing data from cancer patients.

Applicants should have a graduate degree in biology, bioinformatics, computational biology, or related field with a solid background in programming and statistics. Candidates should be comfortable working on UNIX/Linux operating system, program with Perl and/or Python, and familiar with statistical analysis packages (SAS, R, or Bioconductor). Also expected to be familiar with bioinformatics tools and genomics databases. Previous experience in cancer genomics would be an advantage but is not essential.

The successful candidate will be self-motivated, eager to acquire new knowledge and skills on a regular basis, and must demonstrate critical thinking skills. The ability to analyze and interpret results to communicate with others and produce scientific publications is required.

Review of applications will begin immediately and will continue until the position is filled.

To apply

Please send a CV, including a list of three references, to Dr. Christopher Maher (cmaher at dom dot wustl dot edu).

Molecular Biomarkers - Postdoctoral position 2013 France

High-throughput "omic" technologies represent promising opportunities to find new disease biomarkers because of their comprehensiveness and their complementarity. However, integration of such massive and highly heterogeneous data is a bioinformatic challenge. First, for each experiment, raw data must be processed to obtain a n sample x p variable table of signal intensities (e.g. peak detection, quality control, normalization). Second, innovative statistical methods must be developed to extract relevant features from those n << p matrices. Third, additional database information regarding interactions between molecules must be taken into account in collaboration with biologists to validate the identified biomarkers and fingerprints.

Project:

The Biomargin European project aims at finding new molecular biomarkers of renal graft injuries and at developing algorithms to assist clinicians in detecting and interpreting chronic graft dysfunction. As leader of the workpackage "Data integration and disease prediction modeling", our team will first be responsible for statistical integration of the datasets (transcriptomic, proteomic and metabolomic) provided by the clinical partners. Second, the annotated candidate biomarkers will be validated through pathway analysis (e.g. with the Ingenuity software). Third, a model of disease progression based on the selected fingerprints will be developed and validated on a prospective cohort of transplant patients.

Job description:

In our laboratory, the post holder will use multivariate statistical techniques (multi-block analysis, orthogonal partial least-squares) for data integration and biomarker selection. All information regarding the selected molecules will be stored in a dedicated database. Once the candidate markers have been validated by the experimental partners, machine learning algorithms will be developed for the prediction of patient status.

 Profile:

 Interested applicants should hold a PhD in biostatistics or bioinformatics and and be used to programming with the R software. The candidate should be highly motivated by applied trans disciplinary team work aiming at clinical applications.
 
Our offer:

    1-year contract (renewable once).

    Net salary: about 2200 €/month, depending on experience.

Note:

    Funding is dedicated to PhD candidates under 30 years old.

To apply

    Please send your CV and your letter of motivation to:
    Etienne Thévenot (etienne.thevenot@cea.fr)
    Laboratory of Data Analysis Tools
    CEA Saclay, F-91191 Gif-sur-Yvette, France

For More Information