Bioconductors, a bioinformatician position is currently open at Pfizer, Cambridge, UK. An excerpt from the job description is reproduced below (as well as the full job description). You can contact Caroline Benn <caroline.benn at="" pfizer.com=""> or Lee Harland <lee.harland at="" pfizer.com=""> for more details. Alexandre --- Excerpt Job Focus An exciting opportunity has arisen at our Cambridge, UK facility for a skilled bioinformatics scientist to assist in the generation, analysis and interpretation of large-scale molecular profiling data. A key focus of the role initially will be to utilise genomic profiling to construct a comprehensive map of the molecular basis of retinal cell generation. Reporting to the head of bioinformatics, the successful candidate will work closely with our molecular biologists to design and implement transcriptomic and epigenetic experiments. Responsibilities Key responsibilities include: . Provide informatics-support to the design of Pfizer Regenerative Medicine molecular profiling projects. . Creation of data analysis pipelines for the Q/C and normalization of genomic data . Development of algorithms and methodologies for integration of multiple datasets . Identification and/or development of analysis algorithms to analyse high-throughput data . Biological interpretation through Gene Set, Pathways & transcriptional network analysis .Presentation & publication at internal and external meetings/journals. . Be responsible for analyzing large datasets from molecular profiling studies and interpretation of these results within the biological system under investigation . Lead the design & implementation of strategies concerning integration of multiple genomic datasets. . Build a strong relationship with key groups within Pfizer, and form strong, productive collaborations with academic groups and groups in companies outside of Pfizer. Qualifications The successful candidate will have the following attributes: . Recently qualified with a PhD in a relevant scientific discipline or a PhD and experience in a similar role . Interest in stem cell biology and its application to human disease. . Good understanding of the scientific principles of high-throughput genomic data such as microarray, ChIP-Seq and next-generation sequencing.. . Practical experience with primary data analysis such as QC, normalization and statistical modelling through tools such as R/Bioconductor . Knowledge of third-party and public domain software for the analysis of genomic data . Practical experience with the integration of transcriptome, epigenome and micro-RNA data and the interpretation of this data across different domains . Good working knowledge of scripting languages such as Perl and genomic resources such as Ensembl, GEO etc. Experience with pathways and transcription network analysis would be desirable. --- Full job description: Job Title: Bioinformatician: Genomic Profiling Job ID: 932674 Location: United Kingdom-Cambridge Full/Part Time: Full-Time Regular/Temporary: Regular Org Marketing Statement Imagine a career that touches the lives of people everywhere. Imagine an opportunity to reach beyond your area of expertise to make an impact on something greater than the bottom line. Imagine playing a key role in some of the most critical issues facing healthcare today. This is your career at Pfizer - a career unlike any other. Department Marketing Statement Pfizer Regenerative Medicine is a new biotech like research unit, with research facilities in both Cambridge UK and Boston USA. We work at the forefront of science using the latest developments in stem cell biology to bring novel treatments straight to patients to prevent disability, repair failing organs and to treat degenerative diseases. We currently have a number of exciting programmes, including efforts focussing upon neuroregeneration and pancreatic beta cell generation. In addition we have recently announced a pioneering collaboration with Professor Pete Coffey at the Institute for Ophthalmology in London to develop stem cell therapies to treat macular degeneration. As a key step towards clinical trials we are seeking to further understand the biological events in the differentiation of stem cells into therapeutically relevant retinal cell types. For us, this is the start of a new era of medicine - and Pfizer Regenerative Medicine will not only be part of it, but shape it. Job Focus An exciting opportunity has arisen at our Cambridge, UK facility for a skilled bioinformatics scientist to assist in the generation, analysis and interpretation of large-scale molecular profiling data. A key focus of the role initially will be to utilise genomic profiling to construct a comprehensive map of the molecular basis of retinal cell generation. Reporting to the head of bioinformatics, the successful candidate will work closely with our molecular biologists to design and implement transcriptomic and epigenetic experiments. Responsibilities Key responsibilities include: . Provide informatics-support to the design of Pfizer Regenerative Medicine molecular profiling projects. . Creation of data analysis pipelines for the Q/C and normalization of genomic data . Development of algorithms and methodologies for integration of multiple datasets . Identification and/or development of analysis algorithms to analyse high-throughput data . Biological interpretation through Gene Set, Pathways & transcriptional network analysis .Presentation & publication at internal and external meetings/journals. . Be responsible for analyzing large datasets from molecular profiling studies and interpretation of these results within the biological system under investigation . Lead the design & implementation of strategies concerning integration of multiple genomic datasets. . Build a strong relationship with key groups within Pfizer, and form strong, productive collaborations with academic groups and groups in companies outside of Pfizer. Qualifications The successful candidate will have the following attributes: . Recently qualified with a PhD in a relevant scientific discipline or a PhD and experience in a similar role . Interest in stem cell biology and its application to human disease. . Good understanding of the scientific principles of high-throughput genomic data such as microarray, ChIP-Seq and next-generation sequencing.. . Practical experience with primary data analysis such as QC, normalization and statistical modelling through tools such as R/Bioconductor . Knowledge of third-party and public domain software for the analysis of genomic data . Practical experience with the integration of transcriptome, epigenome and micro-RNA data and the interpretation of this data across different domains . Good working knowledge of scripting languages such as Perl and genomic resources such as Ensembl, GEO etc. Experience with pathways and transcription network analysis would be desirable Equal Employment Opportunity PGRD's aim is to provide equality of opportunity in the recruitment process by avoiding discrimination on the grounds of: age, sex (physical characteristics you were born with), marital status, gender (self identity), sexual orientation, religion or belief, disability, colour, national or ethnic origin, political persuasion or trade union membership. At Pfizer we are creating an organisation and promoting a culture that respects each individual's unique character and life experiences, and reflects the diversity of our customers and markets. We will achieve this through fostering and sustaining an environment in which every colleague feels valued and supported, thus enabling superior business results. Closing Statement To apply, PLEASE FOLLOW THE ONLINE APPLICATION PROCESS. The requisition number for this vacancy is 932674. Please include specific information regarding your skills and abilities for this particular role to assist us in assessing your suitability. To view other vacancies in the group please search on the keywords 'Regenerative Medicine'. Please advise us if you have any particular needs to support your attendance and full participation in the interview. Likewise, if you would like written correspondence with you to feature a larger font size, please contact us on 01304 649922 or alternatively please detail the assistance you require on the bottom of your CV. PLEASE DO NOT INCLUDE YOUR AGE OR DATE OF BIRTH IN YOUR RESUME/CV AS THIS INFORMATION IS NOT REQUIRED FOR YOUR APPLICATION. Foreign nationals whose eligibility to work requires sponsorship or maintenance of valid immigration status may not be eligible for this position. Relocation Package Available Management retains right to change the job specifications and provisions of this job as appropriate.