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Position: Research Associate (Bioinformatics)
Institution: Cardiff University
Department: College Of Biomedical and Life Sciences
Location: Cardiff, Wales, United Kingdom
Duties: The postholder will play a leading role in the analysis of large and complex datasets, whilst leading a broad range of investigative and analytical activities related to the understanding of the molecular mechanisms and stratifying individuals for future cognitive decline due to Alzheimer's disease. The successful applicant will have the opportunity to take part in cutting-edge research investigating the complex architecture of AD and related subphenotypes in animal, stem-cell models and human data
Requirements: The successful applicant will have a background in biostatistics or statistics with proven experience of extensive large-scale data analyses and manipulation, ideally including analysis of genome-wide association study and next generation sequencing datasets (genetic and genomic). Established knowledge of data manipulation in a UNIX/Linux environment and proven expertise in high level programming languages such as Perl, Python, or R Statistics is essential. Knowledge of techniques used in genetics and epidemiology, as well as experience in using software used for the analysis of genomic data such as limma, tophat, bowtie, is desirable
   
Text: Loading Loading Job Search School / Directorate Grade Career Pathway Close Close Application limit reached. Close You have already applied for this job. Check your applications. Research Associate (Bioinformatics) 7643BR School of Medicine Research Advert Research Associate - Bioinformatics UK Dementia Research Institute Division of Psychological Medicine and Clinical Neurosciences Cardiff University School of Medicine College Of Biomedical and Life Sciences We have an exciting opportunity to appoint an experienced Bioinformatician to join Professor Valentina Escott-Price’s research group within the UK Dementia Research Institute at Cardiff University. The postholder will play a leading role in the analysis of large and complex datasets, whilst leading a broad range of investigative and analytical activities related to the understanding of the molecular mechanisms and stratifying individuals for future cognitive decline due to Alzheimer's disease. The successful applicant will have the opportunity to take part in cutting-edge research investigating the complex architecture of AD and related subphenotypes in animal, stem-cell models and human data. The postholder will work independently and as part of a multi-disciplinary team, to perform self-directed analyses using in house and publicly available datasets for high impact, peer-reviewed publications. Applicants should be knowledgeable and enthusiastic with the ability to multi-task and communicate effectively. Core tasks will include data analysis and management of genomic (gene-expression) and related phenotypic data from Alzheimer’s disease case-control and cohort samples, freely available genomic animal model and human data. Collaborative working is a key component of this role meaning that communication skills will be vital, in order to cultivate international collaborations from a number of academic institutions. The successful applicant will have a background in biostatistics or statistics with proven experience of extensive large-scale data analyses and manipulation, ideally including analysis of genome-wide association study and next generation sequencing datasets (genetic and genomic). Established knowledge of data manipulation in a UNIX/Linux environment and proven expertise in high level programming languages such as Perl, Python, or R Statistics is essential. Knowledge of techniques used in genetics and epidemiology, as well as experience in using software used for the analysis of genomic data such as limma, tophat, bowtie, is desirable. This post is full time (35 hours per week), available from 1st October 2018 and is fixed term until 31st March 2021. Salary: £32,548 - £38,833 per annum (Grade 6). Date advert posted: Tuesday, 7 August 2018 Closing date: Friday, 24 August 2018 Please be aware that Cardiff University reserves the right to close this vacancy early should sufficient applications be received. Cardiff University is committed to supporting and promoting equality and diversity and to creating an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds who have the ambition to create a University which seeks to fulfil our social, cultural and economic obligation to Cardiff, Wales, and the world. In supporting our employees to achieve a balance between their work and their personal lives, we will also consider proposals for flexible working or job share arrangements. Job Description Main function To conduct research primarily within biostatistics and with some bioinformatics associated with Alzheimer’s disease genetics and population studies. To contribute to the overall research performance of the School and University, carrying out research leading to the publishing of work in high-quality journals. To pursue excellence in research and to inspire others to do the same. Main Duties and Responsibilities Research • To conduct research within biostatistics with some bioinformatics of complex genetic disorders, particularly Alzheimer’s disease and of general population cohorts, and contribute to the overall research performance of the School and University by the production of measurable outputs including bidding for funding, publishing in national academic journals and conferences, and the recruitment and supervision of postgraduate research students. • To develop research objectives and proposals for own or joint research including research funding proposals • To undertake administrative tasks associated with the research project, including the planning and organisation of the project and the implementation of procedures required to ensure accurate and timely reporting • To prepare research ethics and research governance applications as appropriate • To review and synthesise existing research literature within the field • To participate in School research activities. • To build and create networks both internally and externally to the university, to influence decisions, explore future research requirements, and share research ideas for the benefit of research projects • To attend and or present at conferences/seminars at a local and national level as required Other • To engage effectively with industrial, commercial and public sector organisations, professional institutions, other academic institutions etc., regionally and nationally to raise awareness of the School’s profile, to cultivate strategically valuable alliances, and to pursue opportunities for collaboration across a range of activities. These activities are expected to contribute to the School and the enhancement of its regional and national profile. • To undergo personal and professional development that is appropriate to and which will enhance performance. • To participate in School administration and activities to promote the School and its work to the wider University and the outside world • Any other duties not included above, but consistent with the role. Person Specification Essential Criteria Qualifications and Education 1. Postgraduate degree at PhD level in a related subject area (Computer Science / Mathematics / Statistics / Bioinformatics or an equivalent discipline) or relevant industrial experience. Knowledge, Skills and Experience 2. An established expertise and proven portfolio of research and/or relevant industrial experience within the following research fields:  Biostatistics in complex genetic analyses  Bioinformatics in complex genetic analyses  Alzheimer’s disease genetics 3. Knowledge of current status of research in Biostatistics, Bioinformatics and Alzheimer’s disease genetics. 4. Established knowledge of data manipulation in UNIX/Linux and expertise in high level programming languages such as Perl, Python or R Statistics 5. Proven ability to publish in national journals. 6. Proven ability to be successful in competitive research funding. Communication and Team Working 7. Proven ability in effective and persuasive communication. 8. Ability to supervise the work of others to focus team efforts and motivate individuals. Other 9. Proven ability to demonstrate creativity, innovation and team-working within work Desirable Criteria 10. Relevant professional qualification(s) in Computer Science/Mathematics/Statistics. 11. Evidence of collaborations with industry. 12. Relevant experience or knowledge of database technologies, techniques used in genetics and epidemiology, software used for the analysis of genomic data. 13. Proven ability to adapt to the changing requirements of the Higher Education community. 14. Evidence of ability to participate in and develop both internal and external networks and utilise them to enhance the research activities of the School. Additional Information The project is embedded within the UK Dementia Research Institute at Cardiff University. The post holder will work with Professor Valentina Escott-Price, and will attend and contribute to meetings and seminars. There will be an opportunity to interface with a variety of international cohorts for data analysis, and the opportunity to publish in high quality journals. IMPORTANT: Evidencing Criteria It is School of Medicine's policy to use the person specification as a key tool for short-listing. Candidates should evidence that they meet ALL of the essential criteria as well as, where relevant, the desirable. As part of the application process you will be asked to provide this evidence via a supporting statement. Please ensure when submitting this document / attaching it to your application profile you name it with the vacancy reference number, in this instance for this post, 7643BR If candidates do not provide written evidence of meeting all of the essential criteria then their application will not be progressed. The School of Medicine welcome the submission of CVs to accompany evidence of the job-based criteria. Salary Range Min. 32,548 Salary Range Max. 38,833 Job Category Academic - Research, Health, Medical & Dental Grade Grade 6
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