Duration: 2.5 y
Duties: This position is a fantastic opportunity to gain hands-on experience, working on a high-profile project with major scientific impact in a world-leading bioinformatics institute; We are looking for a bioinformatician with experience in handling biological data and biological requirements. You should have a biological background but you should also be able to find your way around a terminal. Experience with managing large scale biological data or using JSON schema to describe biological data would be desirable. Previous experience of working in a bioinformatics-focused environment would be beneficial; You' ll be helping us to describe all data collected from HCA scientists using well-structured, FAIR metadata that takes advantage of many pre-existing ontologies. This approach provides rich and consistent information so users can query the Atlas using many facets of a sample’s identity, such as tissue source and donor age, as well as project and experimental details. You will w...
Minimum Requirements: Practical experience of data management; Research Experience in Genomics and/or Bioinformatics; Knowledge of common data formats, in particular, JSON and JSON schema; Excellent interpersonal and communication skills and an ability to work as part of a team of people with a range of skills and a diversity of backgrounds

                              

Department: Sainsbury Wellcome Centre
Duration: 1 y       
Workload: 100%
Duties: The lab is looking for a motivated and proactive Research Fellow to join its recently established and growing research programme, working under Dr Andrew Murray. The role will have an emphasis on delineating the neural circuitry of the vestibular nuclei, and will include responsible for the oversight and management of the laboratory
Minimum Requirements: The selected candidate will have a PhD in neuroscience or a related subject, and a background and interest in vestibular neural circuits and working in the Murray Lab at SWC. Experience in anatomical neural circuit mapping, preferably in the vestibular system, is essential, and candidates will be expected to work effectively in a highly collaborative and multidisciplinary research environment

                              

Duties: Purpose of the role: to project manage and/or lead HTA submissions and the development of evidence packages to support reimbursement
Minimum Requirements: Higher degree (PhD or MSc) in health economics health technology assessment (HTA) or market access; Strong knowledge of HTA methodologies and processes; Good knowledge of health economic methodologies (e.g. economic modelling, analysis of real-world economic evidence, utility measurement, costing studies); Experience of developing HTA submissions and evidence packages to support reimbursement; A strong understanding of the global payer environment, including coverage, reimbursement and pricing; Excellent project management skills; Good quantitative skills; Fluency in English

                              

Duties: Purpose of the role: to lead the development of health economic models and lead or support a range of health economics projects. The main responsibilities of the role include developing economic models and conducting health economics analyses
Minimum Requirements: Higher degree (PhD or MSc) in health economics, economic modelling or related discipline; Strong knowledge of decision analytic modelling, including a range of modelling approaches; Good knowledge of health economics and HTA methodologies and processes; Significant experience of developing health economic models for HTA purposes: conceptualisation, design and implementation; A strong understanding of the global payer environment, including coverage and reimbursement and pricing; Demonstrated project management skills; Excellent quantitative skills, including econometrics

                              

Duties: The Head of Economic Modelling will be a key member of our senior management team and will lead our growing team of talented economic modellers. The successful candidate will have proven project and people leadership skills and extensive experience in developing health economic models for health technology assessment (HTA)
Minimum Requirements: Higher degree (PhD or MSc) in health economics, economic modelling or related discipline; Excellent or substantial knowledge of decision analytic modelling, including a range of modelling approaches; Substantial experience of developing health economic models for HTA purposes: conceptualisation, design and implementation; Nationally or internationally recognised as an expert in health economic modelling: a role model for the PHMR modelling team (for the Director level only); Strong or excellent knowledge of a range of health economics methodologies (e.g. utility measurement, clinical trial design, resource use measurement); Strong or excellent knowledge of HTA methodologies and processes

                              

Department: Institute of Health Informatics - Cardiovascular Informatics
Duration: 3 y
Duties: The project will focus on heart attacks and coronary bypass surgery and lung, colorectal and breast cancers in terms of cardiovascular disease and cancer respectively. First, the project will investigate quality of ethnicity reporting in two large databases (VICORI, which combines national cardiovascular and cancer registries, and Global Burden of Disease, GBD, data), comparing with routine hospital data. Second, VICORI and GBD data will be used to identify burden of these diseases by ethnic groups, and to study access to health services. By highlighting reporting of ethnicity in healthcare data, and burden of cancer and cardiovascular disease in BME groups, health inequalities and future targets for public health improvement will be identified
Minimum Requirements: Entry requirements: We invite applicants who have or expect to obtain a 1st or upper 2nd class honours degree or relevant Masters degree in epidemiology, biostatistics, health informatics, data science or related disciplines

                              

Department: Institute for Innovation and Public Purpose (IIPP)
Duration: 2 y       
Workload: 100%
Duties: The Institute for Innovation and Public Purpose (IIPP) is a department within UCL and part of The Bartlett faculty, known internationally for its radical thinking about space, design and sustainability; UCL IIPP is seeking a Research Fellow (RF) with a background and interest in sustainable finance, central banks and financial regulation. The RF will primarily work on a 2-year project entitled Central banking for Sustainability funded by the philanthropic foundation Partners for a New Economy a well as smaller grants for other foundations. The RF will work closely with the Principle Investigator on the project, Dr Josh Ryan-Collins and other researchers and staff at IIPP with an interest in green finance and green growth
Minimum Requirements: The ideal candidate for the post will have or be close to completing a PhD in a relevant discipline. The Central Bank and Sustainability project will include both qualitative and quantitative research. Excellent secondary research skills will be vital and experience conducting interviews via telephone or in person would be valued. Strong basic quantitative skills is essential, in particular the ability to work with and manipulate financial and central bank datasets. Training in econometrics or macroeconomic modelling would also be desirable but is not essential; The position presents an excellent opportunity to contribute to an innovative field of research, influence policy at high levels, publish high impact articles and reports and contribute to winning research funding

                              

Department: Computer Science
Workload: 100%
Duties: UCL - CS is the top department in the UK for Computer Science. Research in the Programming Principles, Logic and Verification group spans theory and practice, including logic, semantics, language design, program analysis, program verification, systems verification, systems modelling, compilation, and theorem proving. PPLV has strong links to industry, in particular Facebook, Google, Amazon and ARM. The goal of the project is to develop techniques and tools to automate the modelling and verification of networking software systems. The funding duration for this post is 1 year
Minimum Requirements: We are looking for a postdoctoral research with a PhD in one of the following areas: category theory, algebra, coalgebra, semantics. Experience in multiple areas will be valued. Strong  programming skills will be valued.   In addition, a candidate with a PhD in CS with a strong publication record in relevant conferences and journals, e.g. LICS, FoSSACS, LMCS and experience in implementation of large projects will be valued

                              

Department: UCL Queen Square Institute of Neurology - Wellcome Centre for Human Neuroimaging
Duration: 2 y
Duties: We are seeking a highly motivated individual to join the WCHN Physics group, which specializes in the development of a broad range of methods including functional, structural and diffusion imaging, and provides expert advice to enable neuroscientific studies. The post holder will be engaged in their own research projects aimed at enabling world-leading neuroscience research, and will have flexibility to shape the direction of their research. Key areas of research are artefact correction, particularly at 7T, and the development of rapid imaging techniques with ultra-high spatial specificity, to enable unprecedented studies of connectivity, functional organisation and anatomical microstructure, including at a laminar level using 7T. In addition, this role provides an opportunity to collaborate with neuroscientists from other disciplines working at the Centre to provide advice and guidance on the optimal neuroimaging strategies, and to play an active role in the broader research conducted...
Minimum Requirements: Applicants must have a PhD (Senior Research Fellow) or, if not already held, the PhD must have been obtained by the agreed start-date (Research Fellow applicants only) in physics, biomedical engineering, or a comparable subject. A strong background in MR physics is essential, as is programming expertise (eg, Matlab or C/C ). Applicants must also be specialised in at least two (Research Fellow) or three (Senior Research Fellow) of the following areas: pulse sequence programming, particularly on the Siemens plaftorm (IDEA/ICE); RF pulse design and/or parallel transmission; RF coil design for UHF; conducting and analysing neuroimaging studies using fMRI; image reconstruction including parallel imaging techniques, eg, compressed sensing and open platforms such as Gadgetron; biophysical modelling, eg, relaxometry models, diffusion processes, physiological models and models of neurovascular coupling. Those applying for the Senior Research Fellow position will also need to be able to demonstr...

                              

Department: Political Science - School of Public Policy
Workload: part-time
Duties: The Department of Political Science would like to recruit a Teaching Fellow on a seasonal basis for the 2019/20 academic year in the first instance for the MPA course Data Analysis in Public Policy'The Teaching Fellow will be expected to first and potentially second mark assignments, exam essay and will also be expected to be available for office hours each week as required; for any extra agreed duties undertaken above the contracted duties, (e.g. extra office hours, extra administrative work, extra meetings, extra preparation, extra marking) the Teaching Fellow will be paid an additional extra payment for this work
Minimum Requirements: Candidates must have a PhD or be currently enrolled in a PhD programme in politics or an appropriate discipline; Excellent working knowledge of Stata and knowledge of basic social science statistics up to panel data and limited dependent variable models is essential; Previous experience of teaching quantitative research methods at the postgraduate level would be desirable

                              

Department: Division of Medicine - Institute for Liver and Digestive Health
Duration: 6 m       
Workload: 100%
Duties: The post will be located in the Institute for Liver and Digestive Health, Division of Medicine UCL; The post holder will be responsible for gathering and analysing quantitative and qualitative data relating to the management of blood bourn viruses in the prison estate. The post holder will work within and outside prisons and will interact with prisoners, prison officers and prison health workers
Minimum Requirements: The post holder will have experience of both quantitative and qualitative research methods and be capable of gathering data in the field and analysing their findings using appropriate methods. The post holder will be capable of performing appropriate statistical tests and will be skilled at writing reports and manuscripts for publication. It is envisaged that the successful candidate will hold a Masters qualification and be in the process of completing or have been awarded a PhD

                              

Department: MRC Laboratory for Molecular Cell Biology
Duration: 3 y       
Workload: 100%
Duties: The successful candidate will be analyzing data from High-Throughput Screening and High-Content imaging experiments and will develop software tools for data handling and data mining of experimental data. The successful applicant will interact closely with biologists and other researchers in the department and across other faculties at UCL
Minimum Requirements: Applicants should have experience in the bioimage informatics field of bioinformatics, quantitative fluorescence microscopic image analysis that should ideally include navigating within molecular databases and analysis of imaging data. Applicants must be able to demonstrate scientific/technical versatility, as evidenced by hands-on experience in the previous role. Research experience in functional genomics, drug discovery, protein structure modelling and/or high-throughput screening programs would be an advantage. Basic knowledge in molecular biology and cell biology are desirable; Applicants should be willing to work independently and as a team so that they can take an active role in ensuring the well-being and success of the research group as a whole. This will include training pre- and post-doctoral scientists and active participation in collaborative research projects. Applicants should hold a PhD in bioinformatics or a related subject area

                              

Department: Electronic & Electrical Engineering
Workload: 100%
Duties: The purpose of this post is to support the department in undergraduate teaching in topics related to Engineering Mathematics and programming. This will include developing teaching materials, delivering classes and workshops in mathematics and mathematical modelling as well as supporting programming classes and workshops. Collaboration with the faculty led mathematics modules will be required. In addition, the role will involve working with module leads throughout the degree programmes in the department to ensure the provision of the underpinning mathematics of the degree programmes.. The role will also include contributing to the development of new modules as options in the later years as well as any foundation provision for both undergraduate and MSc students. It is also expected that the role will include supporting the supervision of project students, as well as other planning, tutoring and assessment activities
Minimum Requirements: Applicants should have a degree and a PhD in electronic engineering, applied mathematics or equivalent qualifications and/or experience. A qualification in Higher Education teaching is desirable. Excellent interpersonal, oral and written communications skills are essential as well as knowledge of mathematical modelling methods, e.g. a high level of knowledge of Matlab. In addition a high level knowledge of computer programming, in at least one of the following; Python, C and/or Java is required. The successful applicant must have experience of teaching within ad electronic engineering or similar context at undergraduate and/or postgraduate level; Experience of using virtual learning environments such as Moodle of Blackboard is desirable

                              

Department: Cancer Institute - Research Department of Pathology
Duration: 3 y       
Workload: 100%
Duties: We are seeking a collaborative and self-motivated research fellow to work on cancer genome evolution and heterogeneity with a major focus on chondrosarcoma and chordoma using samples from the 100, 000 Genomes Project. The post holder will join a successful multi-disciplinary team of cancer biologists and sarcoma translational research clinicians and will contribute to the design and analysis of large-scale ‘multi-omics’ datasets generated for these sarcoma subtypes
Minimum Requirements: Applicants must have previous experience with NGS whole genome data analysis, be fluent in at least one of the following programming languages: R, Perl or Python, and is expected to have strong skills in the field of genomics and desirably one or more of the following: cancer biology, evolutionary biology, statistics, mathematics or machine learning. Prior experience with work on high performance clusters, and with large-scale data analysis is particularly desired; The successful candidate must have, or be studying towards, a PhD and will have a proven track record of publications

                              

Department: UCL Queen Square Institute of Neurology - Department of Clinical & Experimental Epilepsy
Duration: 3 y       
Workload: 100%
Duties: An exciting opportunity has arisen for three post-doctoral Research Fellows to work on genomics in the epilepsies as part of a translational genomics programme under the supervision of Professor Sanjay Sisodiya. The appointees will be responsible for the application of genomic technologies in order to realise translation of personalised medicine for people with epilepsy
Minimum Requirements: Applicants must hold a PhD in Genetics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline and have experience in computational genomics and knowledge of pipelines for the analysis of next-generation sequencing data, and dealing with large genome-wide datasets. A research record in journals within the areas of Statistical and/or Population Genetics, including at least one first-author publication, is essential. General knowledge of neurology, epilepsy and/or genetics is desirable

                              

Duration: 3 y
Duties: The post holder will be working in the context of a BBSRC/NSF grant called “PTMExchange” which aims to: (i) analyse public proteomics datasets with the objective of disseminating high-quality PTM (post-translational modification) data from PRIDE into UniProt; and (ii) develop all the related infrastructure, including further developments in PRIDE, ProteomeXchange and the related data pipelines. The post holder is also expected to collaborate closely with the other partners in the grant and potentially other external stakeholders. The post holder may also have to contribute to other tasks related to the maintenance and development of the services and tools offered by the team
Minimum Requirements: You must have a degree in computer science or bioinformatics and be able to demonstrate a minimum of 3 years’ experience in software development and/or bioinformatics data analysis, ideally with some knowledge of cloud technologies. You must be able to demonstrate at least 3 years’ working experience in a suitable programming language such as Java, C++ or Python. Working experience in bioinformatics and computational proteomics is essential. In addition: Good understanding of code versioning tools, such as Git; Good understanding of technologies such as JSON, XML and relational databases

                              

Department: UCL Institute of Education - Department of Social Science
Workload: 100%
Duties: The Centre for Time Use Research is seeking to appoint a Post-doctoral researcher with a strong grasp of quantitative methods, and a background in one or more of the academic disciplines of Sociology, Economics or related disciplines. The Research Fellow will be part of a research group whose remit includes both resource provision and academic research in the field of time use
Minimum Requirements: The successful candidate will provide research expertise and advanced data management and analysis skills to the project. Experience in the use of advanced statistical analysis packages is essential. The successful candidate will have completed or be near completion of a doctorate in Sociology, Economics or related disciplines and a proven publication record. They will have advanced skills in research design and quantitative analysis in areas relevant to the CTUR programme, as evidenced in training and work to date and will ideally have knowledge of, and experience in, a range of social science data collection techniques

                              

Department: Division of Medicine - Research Department of Metabolism and Experimental Therapeutics
Workload: 100%
Duties: The candidate will help conduct a high quality programme of research that centres on the development and application of new and emerging pre-clinical imaging techniques, particularly high field MRI. The candidate will acquire and analyse medical imaging data and work with the Alzheimer’s Research group to assist with experiments. In addition the candidate will be responsible for the ordering and care of pre-clinical rodent models of brain disease and perform histological and PCR assessment of brain samples. Moreover, the candidate be partially responsible for the maintenance and upkeep of the high field MRI scanners
Minimum Requirements: The candidate must have a PhD centred on pre-clinical MRI technique development together with direct experience of pre-clinical Agilent and Bruker MRI scanners. In addition, the candidate must have knowledge of the blood brain barrier and its assessment with MRI as well as experience of MRI pulse sequence programming on Bruker MRI scanners

                              

Department: Statistical Science
Duration: 3 y
Duties: This PhD project includes hardware acceleration of GP fitting and prediction in collaboration with Warwick University and the Research Software Engineering team of the Alan Turing Institute, and is linked to the project: Uncertainty quantification of multi-scale and multi-physics computer models. As part of this PhD project, it will be also possible to explore new extensions of GP surrogate models. The project includes an application to tsunami modelling that will be carried out as part of an international project on Indonesian tsunamis with various experts providing support and data
Minimum Requirements: The requirement for admission to the MPhil/PhD in Statistical Science is a 1st class or high upper 2nd class Bachelor’s degree, or a Master’s degree with merit or distinction, in Mathematics, Statistics, Computer Science, or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable. The ideal candidate will have both statistical and computational expertise, for instance through a Master degree in Computational Statistics, Data Science or equivalent

                              

Department: Cancer Institute - Cancer Research UK & UCL Cancer Trials Centre
Duration: 4 y
Duties: We have a vacancy for a medical statistician that would undertake statistical analyses of ongoing and closed trials; work with investigators to write papers to be presented at conferences and published in medical journals; be involved in developing grant applications; and participation in postgraduate teaching. He/she would work closely with scientific staff within the UCL and internationally, and major pharmaceutical companies who fund some of the trials. The CTC is keen on professional development, so the person would attend medical and statistical conferences in the UK and abroad each year, including short training/development courses (all paid by the CTC)
Minimum Requirements: The post holder will preferably will have a background in clinical trials (not necessarily cancer). The successful candidate should have a postgraduate (MSc or above) in Medical Statistics or related subject with practical experience in clinical trials and/or epidemiological studies. However, for the grade 6 post, he/she could be graduating with an MSc in 2019. Experience of using statistical methods of design and analysis in medical research is essential, including use of survival analyses

                              

Department: Research Department of Epidemiology and Public Health
Workload: 100%
Duties: Applications are invited for the position of Lecturer in Quantitative Methods & Life Course Epidemiology at the Research Department of Epidemiology and Public Health. The post holder will strengthen the departments academic excellence in life course epidemiological research and teaching in quantitative methods and life course epidemiology, as well as developing research and teaching in new strategic directions
Minimum Requirements: The successful candidate will have extensive experience of longitudinal, quantitative analysis, preferably using the British birth cohort studies, Understanding Society, and/or ELSA or similar. A proven record of longitudinal research excellence demonstrated through publications and grant funding. Applicants are expected to have PhD in relevant epidemiological, social science, statistical or bioinformatic related discipline

                              

Department: UCL Gatsby Computational Neuroscience Unit
Duration: 2 y       
Workload: 100%
Duties: The research themes (and associated faculty mentors) for which Training Fellowships are currently available are: Algorithms and mechanisms of inference and planning under uncertainty in neural systems (Maneesh Sahani); Decision-making (Peter Latham); Inferential models of context-dependent auditory processing (Maneesh Sahani); Learning, plasticity and Bayesian inference (Peter Latham); Statistical and machine-learning approaches to analysis and interpretation of population neural data (Maneesh Sahani); Bayesian non-parametric methods (Maneesh Sahani/Peter Orbanz)
Minimum Requirements: Candidates will be required to demonstrate a strong quantitative background in theoretical neuroscience, machine learning, statistics, computer science, physics or engineering; a record of publication in highly respected journals and conferences; and must hold a PhD in a relevant field by the agreed start date of the position

                              

Department: UCL Queen Square Institute of Neurology - Department of Clinical & Experimental Epilepsy
Workload: 100%
Duties: The main purpose of the post is to advance understanding of the epilepsies through detailed clinical, investigational and genomic evaluation in a large cohort of people with well-characterised epilepsies. The post holder will oversee a team of Research Fellows/Bioinformaticians responsible for the statistical analysis and the scientific interpretation of data. S/he will provide bioinformatics advice and support to other group members and collaborators from different disciplines (and, in return, will receive advice from multidisciplinary teams)
Minimum Requirements: Applicants must hold a PhD in Genetics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, or a closely related discipline and have extensive experience in generating genotyping and sequence data, analysing large genome-wide datasets, and supervising bioinformaticians/junior analysts. A track record of research publications in reputable journals within the areas of next generation sequencing data, conference presentations, research collaborations and grants is essential, and general knowledge of neurology/epilepsy is desirable

                              

Department: Institute of Epidemiology and Health Care - Research department of Primary Care and Population Health (PCPH)
Workload: part-time
Duties: Applications are invited for a Lecturer in Medical Statistics to join the research department of Primary Care and Population Health; The post holder will be expected to develop an independent research portfolio, provide statistical teaching, supervision and support, and lead on PCPH contribution to statistics teaching, as well as contribute to the overall performance and culture of PCPH
Minimum Requirements: The post holder will have a PhD in medical statistics as well as extensive experience in this field, including teaching using a range of methods. S/he will have a track record of biomedical or health services research, demonstrated through publications and grants. The post holder will be committed to both teaching and research

                              

Duration: 2 y
Duties: The post will involve use of natural language processing to develop comprehensive entity recognition, testing and refinement of entity dictionaries, building a knowledge graph combining literature relationships with other evidence from the Open Targets Platform and machine learning to predict novel relationships including disease: target associations and drug repurposing opportunities
Minimum Requirements: PhD in Computer Science, Bioinformatics, Computational Biology, Data Science or related area; Experience in Machine Learning or Natural Language Processing in a biological context; Highly proficient in Python, Scala or equivalent programming language; Must be able to communicate analysis and results clearly to a diverse audience; Must be able to identify and clearly express limitations or pitfalls in potential approaches