PhD computational/bioinformatic genomic analystOffer by Large Company/SME
Please note that the job is no longer active!
A full time position is available for 2 years, for an experienced computational/bioinformatic genomics analyst to work on the data obtained in a retrospective study on pregnancy rates after ERA diagnosis in embryo implantation failure assisted reproduction seeking patients. Also to work on the diagnostic value of novel gene markers for the ERA test, to optimize complexity of the ERA test minimizing unnecessary gene redundancy and the design and implementation of projects aimed at integrating Next Generation Sequencing (NGS) data in clinical settings. To design, program, and validate class prediction tools based on gene expression microarray profiles and NGS data and to develop bioinformatic tools for genetic and genomic analyses of complex clinical datasets. To assist in the design and statistical data analysis of research projects and randomized controlled trials.
The position is available within a FP7 Industry-Academia Partnerships and Pathways project “SARM” (GA number: 324509).
IVIOMICS is a company that provides advanced services in reproductive genetics. Our broad experience and qualifications make us one of the global leaders in this field.
The SARM consortium consists of 2 industrial and 3 academic partners, forming a strong, stimulating and coherent research environment ensuring the pooling of complementary scientific skills in reproductive genetics and medicine. Infertility is a serious medical concern preventing the parenthood in 10% of couples. Infertility treatment using assisted reproduction techniques (ART) is widely used in Europe with up to 5% of children born thanks to medical help. Despite many technological improvements the overall pregnancy rate after infertility treatment using the most commonly practiced in vitro fertilization (IVF) remains only 30% per single cycle.
A full time position is available for 2 years, for an experienced computational/bioinformatic genomics analyst to work on the data obtained in a retrospective study on pregnancy rates after ERA diagnosis in embryo implantation failure assisted reproduction seeking patients. The ERA diagnosis is based on a custom gene expression microarray that interrogates 238 specific genes. The recruited fellow is to work on the diagnostic value of novel gene markers for the ERA test, to optimize complexity of the ERA test minimizing unnecessary gene redundancy and the design and implementation of projects aimed at integrating Next Generation Sequencing (NGS) data in clinical settings; To design, program, and validate class prediction tools based on gene expression microarray profiles and NGS data and to develop bioinformatic tools for genetic and genomic analyses of complex clinical datasets, utilizing IVIOMICS lab data and public datasets. To assist in the design and statistical data analysis of research projects and randomized controlled trials.
Gross Salary: 56,200 €/year
Nr of positions available : 1
Biological sciences - Biology
Experienced researcher or 4-10 yrs (Post-Doc)
Recognised Researcher (R2)
In addition to the Living Allowance, a Mobility Allowance will be paid to eligible researcher, taking due account of the family situation of the researcher and the nature of the activity. Both Living Allowance and Mobility Allowance are based on flat rate contributions.The former includes full social security coverage and the latter is to cover those personal household, relocation and travel expenses associated with undertaking transnational mobility.
|Main Research Field||Biological sciences|
|Research Sub Field||Biology|
|Degree Field||Biological sciences|
|PhD in bioinformatics, computational genomics, human genetics, statistical genetics or biological science with relevant experience in the other subjects.
Experience and a strong foundation in statistical and quantitative methods.
Several years of professional experience with common programming languages/environments is expected. This includes proved working knowledge of numerical analysis environments (R or pylab), BioConductor, at least one statistical programming environment (preferentially R), one or more general-purpose scripting languages (e.g. Python, C/C++, Perl, Java). Experience with web development frameworks and design, construction and maintenance of databases and relational databases (eg. mySQL).
Experience with designing and programming of class prediction tools based on gene expression microarray and NGS data and on developing bioinformatic tools for genetic and genomic analyses of complex clinical datasets.
Experience with the analysis, interpretation, visualization and management of large and complex genomic datasets generated by microarrays and high throughput sequencing and from protein sequence data. Experience in integration of data from multiple platforms and on functional genomics as well as curating and harmonizing reference data from sources like dbSNP, ENSEMBL, RefGene, HGMD, etc.
The position is available full time since September 2013.
The location of the workplace is in Valencia, Spain.
The candidate must have not resided or carried out his/her main activity in Spain for more than 12 months in the 3 years immediately prior to taking up the currently advertised position.
Start date of the contract: 01 September 2013
Duration: 24 months.
Applications must be sent electronically in pdf format to Marcos Alepuz(Marcos.Alepuz@ivi.es) and received latest May 30th, 2013. Application package has to consist of:
•a list of publications
•a letter of interest (2 A4 pages)
•recommendation letter(s) or reference contacts
For additional enquiries about the scope of work please also contact Mr. Marcos Alepuz by e-mail. IVIOMICS might suggest an interview in the process with the best candidates. Application results will be communicated back to applicants by e-mail.
Selection will be made latest by May 31st, 2013.
|A strong publication record of bioinformatics research in collaboration with experimental biologists is expected.
The right candidate will have strong organization and communication skills, with demonstrated ability to productively work as a member of a team. Strong verbal and written communication skills in English are required.
The candidate will have a strong interest in analysis of high dimensional biological datasets, gene expression or miRNA analysis, copy number variation, gene-gene and gene-environment interactions, functional validation of SNPs, all of it in clinical and preclinical environment to contribute towards a personalized medicine for infertility patients.
|Degree||PhD or equivalent|
|Years of Research Experience||8|
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