Bioinformatician and Data Analyst

Research on multi-omic data sets. Development of novel algorithms and exploitation of other software to process and analyze data generated at the Glasgow Polyomics facility (GPF) and beyond, in the areas of genomics, transcriptomics and proteomics/metabolomics and particularly in the integration of omics datasets by using and extending the existing and newly developed software. To interact in a collaborative and service capacity with GPF users to maximise the output of their datasets through novel analytical methods. Dissemination of that knowledge to staff and students through mentoring and training. The application of applying statistical and other informatics approaches to integration of disparate types of data.

1. Provide high-end biological data research and analysis to individual projects in next-generation sequencing (NGS), proteomics and metabolomics at GPF. 2. Contribute to the research activities of GPF with the aim of developing an individual research programme. Promote future research by identifying potential funding sources. 3. Develop, analytical workflows to extract meaning from various applications of NGS and microarray technologies and proteomics/metabolomics projects and, in particular, their integration. 4. Optimize the presentation and dissemination of results. 5. Communicate with facility users and collaborators in order to understand the data analysis requirements and to explain both the techniques used and the results generated. 6. Maintain records and undertake general administration and clerical tasks supporting the projects. Establish and sustain a track record of independent and joint published research to build an expert reputation in the subject area. 7. Share in the development of undergraduate or postgraduate students and less experienced members of the team by supervision, mentoring or training. 8. Develop and enhance own research profile and reputation, and those of the research group, GPF, and the University. This will include contributing to high quality publications in refereed journals, presenting work at seminars and at national and international conferences, fostering and managing scientific collaborations, enhancing research impact, gathering indicators of esteem, engaging in personal and professional development, assisting in outreach activities, and contributing to the enhancement of the University’s international profile in line with the University’s Strategic Plan, Glasgow 2020 – A Global Vision (http://www.gla.ac.uk/media/media_180610_en.pdf ).

Knowledge/Qualifications Essential: A1 A good degree in a relevant field. A2 A PhD or equivalent qualification/experience. A3 Post graduate training or equivalent experience in relevant subject (e.g., systems biology, biostatistics). A background in statistics would be especially valuable. Skills Essential: C1 Excellent interpersonal, writing and presenting skills, and the ability to convey complex data and concepts clearly and concisely. C2 Knowledge of NGS data analysis or proteomics/metabolomics data analysis. Willingness to extend knowledge to analyse all omics data that is generated at GPF. C3 Demonstrable experience in the development of algorithms or software for statistical analysis of complex datasets or omics related applications C4 Extensive theoretical and practical knowledge of biological data analysis and computing technologies. C5 Strong statistical skills especially in relation to applying statistical software. C6 Ability to use initiative and judgement to resolve problems alone or as part of the group. C7 Excellent interpersonal skills, including team working and fostering a collegiate approach. Ability to integrate into an active group involved in the generation, analysis and distribution of omics data. C8 Ability to perform reporting duties in written and oral forms. C9 Familiarity with integration of different data types. Desirable: D1 Detailed knowledge and or/ hands-on experience of omics experimental methodology. D2 Ability to generate and follow own research programme in bioinformatics. D3 Proven track record in generating funding. Experience Essential: E1 At least 1–2 years' of relevant postdoctoral research experience (or equivalent experience). E2 Skill in complex or omics data analysis or equivalent, gained from previous experience across multiple projects. E3 Experience of making a leading contribution in research activities, or in equivalent roles. Desirable: F1 Experience in database development. F2 Experience of working successfully in an interdisciplinary team. F3 Familiarity with flux balance analysis or stable isotope labelling analysis. F4 1-2 years' experience with Unix-like operating systems.

Dimensions Data analysis and interpretation. Bioinformatics and statistical method implementation and development . Planning and Organising Reacting to duties assigned by Director of Institute in consultation with GPF Director or service heads. Effective organisation skills to manage time and prioritise research. Establishing work timetables to achieve short and long term goals for completion of various stages of the project. Decision Making Purchase of technical materials and software (as agreed with Director of Institute in conjunction with GPF Director or service heads). Input into decisions on experimental and data analysis approaches, publication strategies, attendance at meetings. Identifying best journals for submission of publications and which seminars to attend. Internal/External Relationships Departmental colleagues to exchange information and ensure efficient working practices Collaborators at GPF to obtain data and discuss approaches. Other internal and external collaborators as appropriate to exchange ideas and information to enhance the research profile of the Section/Division/Department. Problem Solving Initiative and judgement required to solve day-to-day research problems independently, e.g. relating to data analysis techniques, bioinformatics procedures or protocols and equipment. Assist with problems relating to equipment and experiments as appropriate. Assist with learning needs/requirements of students and colleagues. Other Contribute to meetings of the research team. Complete work towards research papers and prepare manuscripts for submission. Need to undertake professional development. Represent GPF and the University through attendance or presentation at national and international events. Representation of GPF at public engagement events, and involvement in the inception and delivery of these programmes. Additional information Glasgow Polyomics (www.polyomics.gla.ac.uk) is a research facility at the University of Glasgow that is equipped for the collection, analysis and integration of high-throughput biological (‘omics’) datasets. The facility uses state-of-the-art, next-generation sequencing platforms ( Illumina and Thermo Fisher), gene and transcript arrays (Affymetrix), a fleet of high-end mass spectrometers (Thermo Fisher Orbitraps), and nuclear magnetic resonance (NMR) technology to measure the genome, transcriptome, metagenome, proteome, and metabolome from any biological system. The analysis team at GPF provides a range of experience in network biology, bioinformatics and software development, in particular for the integrated analysis of multi-level 'polyomic' datasets. Glasgow Polyomics wishes to further strengthen its expertise in knowledge extraction from complex and integrated datasets by seeking an enthusiastic individual expert in techniques ranging from broad areas of statistics and information theory including for example, probabilistic modelling, machine learning, pattern recognition and uncertainty modelling, to a variety of locally generated datasets.