Duration: 13.5 m
Duties: EMBL-EBI Mouse Informatics is looking for a junior bioinformatician to build off recent successes in developing a cancer model platform within the NIH funded PDX Finder project. The PDX Finder team harmonises, analyses and helps disseminate the rich Omic and phenotypical data from Patient derived Xenograft (PDX) models to advance cancer research by adhering to the FAIR data principles (Findable, Accessible, Interoperable, Reusable); Towards this goal, we are looking for a bioinformatician who will broker the submission of cancer Omic data to the established molecular archives at EMBL-EBI including the European Nucleotide Archive and European Genome-phenome Archive. You will work closely with other members of the Molecular Archive cluster in contributing to a data submission pipeline and with members of the PDX Finder team in the bioinformatic analysis of the archived data; This opportunity will provide the candidate unfettered access to unique datasets with direct relevance to human he...
Minimum Requirements: The ideal candidate will have at least 1-year experience in bioinformatics and hold a postgraduate degree in Bioinformatics and related fields, although candidates with equivalent experience will also be considered. Experience: Experience in processing data from raw NGS QC to annotation and variant prioritisation; Proven experience designing and deploying implementation of Java solutions in a production environment; Demonstrated skillset and experience in working in Bioinformatics; Good communication skills, ability to work as part of a team of people with a range of skills and a diversity of backgrounds; A willingness to learn others'code and participate in design and testing; Proficiency with handling large data sets and developing robust data ingest pipelines

                        

Department: Dept of Medical Physics & Biomedical Engineering - Magnetic Resonance Imaging Group
Workload: 100%
Duties: We are seeking a talented MRI physicist and postdoctoral researcher to develop quantitative susceptibility mapping (QSM) to measure oxygenation in Prostate Cancer and lead a study comparing QSM and histology in prostate cancer patients. We are looking for a highly motivated individual to join and work within the MRI group, reporting to Dr Karin Shmueli. The successful candidate will have a central role in developing, optimising and applying new MRI magnetic susceptibility mapping acquisition sequences and processing techniques in phantoms and healthy volunteers. The ultimate goal of this multidisciplinary research programme is to develop a new QSM-based technique to map oxygenation in prostate cancer and compare histological and QSM measures in patients to investigate the technique’s clinical potential to non-invasively determine tissue hypoxic status
Minimum Requirements: It is expected that the successful candidate would have a first degree in Physics, Maths or Engineering. Applicants must have a PhD, or be about to submit a PhD, in MRI Physics or a related subject. A strong background in MRI Physics and expertise in computer programming in high-level languages (e.g. Matlab, C/C++, IDL or Python) are essential. Previous experience in acquisition, reconstruction, processing and analysis of MRI data is required. Experience in quantitative magnetic susceptibility mapping (QSM), MRI pulse sequence development, and/or MRI body or cancer imaging studies would be desirable

                        

Department: UCL Queen Square Institute of Neurology - Department of Imaging Neuroscience
Workload: 100%
Duties: We seek a highly motivated individual to join us in exploiting the exciting opportunities afforded by 7T and MEG to study the neural substrates of visual perception. The successful candidate will assist with conducting fMRI experiments probing, for example, layer-specific responses in visual cortex and hippocampal subfield contributions to generating expectations (using 7T fMRI) and time-resolved decoding of the neural dynamics underlying integrating of expectations with sensory inputs (using MEG)
Minimum Requirements: Applicants must have an Honours degree (2.1 minimum) in experimental psychology, neuroscience, cognitive science or a related discipline; an MSc in a Neuroscience related discipline or advanced neuroimaging is desirable. Experience of conducting cognitive experiments using 7T MRI and/or MEG is essential, as are strong programming skills (e.g. in Matlab), experience of analysing 7T MRI and/or MEG data, e.g. layer-specific responses or time-resolved decoding, and experience of recruitment and behavioural testing of adult participants. Excellent oral and written communication skills, with fluency in English, good inter-personal skills, exceptional attention to detail, and a very high level of consideration and care for research volunteers with ability to build rapport with study participants, are also required, as is an interest in using neuroimaging for high quality research into visual perception

                        

Department: Bartlett Centre for Advanced Spatial Analysis (CASA)
Workload: 100%
Duties: The successful candidate will lead the project’s first work package, which aims to develop future older population lifestyle and mobility profiles. He/she will process smartcard data and travel surveys to chart changing life situation and mobility practices. The goal will be to generate an evidence base to inform the project’s modelling and forecasting component
Minimum Requirements: We are seeking a highly-motivated individual with a PhD in a quantitative specialty within a social or engineering science discipline with experience in transport and mobility research

                        

Department: Mechanical Engineering
Workload: 100%
Duties: Develop state-of-the-art models for the detection and diagnosis of adverse behaviour for unmanned marine systems, using data from deployments of underwater gliders as a case study. Help the team at the National Oceanography Centre in the implementation of the generated strategies in their fleet management software. Verify the effectiveness of the created models with data from new deployments. Draft the body of knowledge for assuring autonomy based on the case study of unmanned marine systems. Interact with, and present findings at meetings with, funders and project partners
Minimum Requirements: The successful applicant should hold a PhD in a relevant subject area and possess knowledge and experience of data analysis, machine learning and dynamic modelling & system identification; They should be able to demonstrate leadership, management and influencing skills and have the ability to conduct literature reviews, synthesise, analyse and write up data; The successful candidate should have a commitment to continuous professional development and a commitment to UCLs policy of equal opportunity and ability to work harmoniously with colleagues and students of all cultures and backgrounds

                        

Department: Behavioural Science and Health
Duration: 2 y       
Workload: 100%
Duties: The post-holder will have the opportunity to focus on a range of health behaviours and outcomes, including risk of developing mental illness, subjective wellbeing, social wellbeing, emotional behavioural problems, risk of engaging in risky behaviours, healthy behaviours, risk of developing non-communicable diseases exacerbated by stress and poor lifestyle, cognitive ageing, and age-related decline
Minimum Requirements: Applicants are sought with a research background in statistics, medical statistics, epidemiology, quantitative social science or other relevant discipline and experience undertaking advanced longitudinal statistical methods. Knowledge of the evidence base on social, cultural and/or community engagement in relation to health behaviours and outcomes is desirable

                        

Workload: 100%
Duties: I am working with a Leading International GI Insurer to find a Pricing Actuary with 2-5 years of experience. If you are making good progress with your Actuarial exams and have a strong numerate degree from a great university, please apply within

                        

Duration: 2 y
Duties: We invite applications for a Postdoctoral Fellow position in the field of cancer genomics. We are looking for an intrinsically motivated, talented, and hypothesis-driven individual with experience in analyzing high-throughput sequencing data sets. This position is an excellent opportunity for individuals looking to gain in-depth knowledge and expertise in cancer genomics and to develop bioinformatic skills for analyzing and interpreting large genomic data sets; You will be expected to lead the development of scalable and creative computational solutions for cancer multi-omic data integration. Specifically, your project will involve developing computational pipelines for analyzing and interpreting Illlumina and Oxford Nanopore sequencing data (bulk and single-cell data) from human tumor samples that our clinical collaborators have collected. The results of these analyses will be combined with those obtained by major pan-cancer genome analysis efforts (e.g. PCAWG and Genomics England) in...
Minimum Requirements: PhD degree in the life sciences (preferably computational biology, statistics, or a similar field); Strong analytical and programming skills (preferably in python and R); Significant experience in computational genomics (ideally in cancer genomics) as evidenced by publication record; Demonstrated ability to work both independently and collaboratively with other group members and external collaborators; Proficient communication skills in both written and spoken English; Experience in Unix-based environments, high-performance computing and the development of reproducible data analysis pipelines using version control software; Data science skills, such as visualization of complex data sets

                        

Duration: 18 m
Duties: In this role, you will be responsible for developing methods and tools for optimal compression, conversion, and exchange of ONT data in GA4GH standards such as the CRAM format and htsget data streaming API. You will collaborate with the Large Scale Genomics workstream of GA4GH and with nanopore sequencing experts in the community. You will evaluate alternative compression strategies and benchmark implementations, and promote the use of GA4GH formats for exchange of nanopore sequencing data
Minimum Requirements: The ideal candidate will hold a higher degree in a technical discipline such as Engineering, Computing, or Bioinformatics. An additional degree qualification and knowledge of genomics would be advantageous. In addition, the successful candidate must have the following skills: Proven experience in collaborative software development projects; Minimum 3 years experience in scientific software development; Thorough and organised. You can follow up where results diverge from expectations, and assess and address those difference; Good communication and interpersonal skills, both oral and written; Ability to work to tight deadlines; Ability to interpret and contribute to technical documents; Familiarity with working in unix environments; Proficiency in written and spoken English

                        

Department: Medical Physics and Biomedical Engineering
Duration: 4 y
Duties: We are looking for a highly motivated and talented student to develop magnetic resonance imaging (MRI) electromagnetic tissue properties mapping techniques to advance structural and functional neuroimaging. The studentship, funded as part of Dr Karin Shmueli’s European Research Council Consolidator Grant, is part of an exciting research programme to develop a new, rapid imaging technique with the goal of applying it in a proof-of-concept study in Alzheimer’s disease
Minimum Requirements: Applicants must have, or expect to obtain, a UK first class or 2: 1 honours degree (or equivalent international qualifications or experience) in an appropriate Physics, Engineering or Mathematics based subject. Applicants must show a strong interest in magnetic resonance imaging physics, particularly as applied to neuroscience and healthcare. Experience in numerical computing and programming in languages such as Matlab or C/C++ will be advantageous. Other desirable skills include creative and critical thinking, excellent writing and communication skills, self- and time-management and a capability to work effectively both in a team and independently and to take the initiative

                        

Workload: 100%
Duties: Under minimal supervision, assist in the implementation of the new IFRS 17 process: Validate the financial outcomes from dry runs; Refine working assumptions in parameters and models; Assist with the resolution of identified defects; Validate and forecast new IFRS 17 financial metrics; Provide thought leadership on activities with a low to moderate level of complexity and contribute to problem solving on activities with a higher level of complexity; Engage in peer reviews of methodology, models and documentation, providing appropriate challenge and suggestion for improvements; Work collaboratively in a technical change team to deliver effective solutions, within project timelines and to required quality, overcoming challenges as they arise
Minimum Requirements: Senior student or newly qualified fellow of IFoA, with two or more years’ experience of working in an life actuarial team, and some experience of working in an actuarial life assurance reporting team; Experience of reporting procedures, processes and operating controls for a robust delivery of reliable and accurate financial reporting to auditable standards; Ability to interpret technical guidance and produce technical documentation; Ability to plan work activity to realistic deadlines and deliver to schedule; Confident communicator that is able to document and explain technical material to a range of stakeholders; Excellent IT skills, specifically Word and Excel; SQL skills or similar coding language experience

                        

Duties: Quantitatively and qualitatively modelling risk. Building new tools. Analysing data. Validating models. Mathematical modelling. Software development. Present solutions, write reports and gather work specifications on project. Build up skills and expertise that can be shared and leveraged within the firm
Minimum Requirements: Minimum Master’s or PhD in Physics, Mathematics, Financial Mathematics, Computer Science or any other related quantitative science with a high mathematical content and with excellent grades. English language proficiency. Possess significant IT knowledge coupled with strong programming skills. Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling. Ability to work well in a team. Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients. Work experience in trading, treasury or risk management may be an additional advantage

                        

Department: Cancer Institute - Pathology
Duration: 3 y
Duties: We are seeking two highly motivated and qualified Research Fellows to join the Fisher laboratory which investigates the evolutionary dynamics of cancer using computational modelling. The Fisher laboratory is dedicated to understanding how cancers evolve through the identification of the molecular mechanisms that underpin cell-fate decision programs during both normal development and disease. Our mission is to develop better personalised treatment to improve the outcome for cancer patients
Minimum Requirements: Applicants must have, or be studying towards a PhD in a relevant subject and have a first or upper second BSc in a relevant subject with substantial experience in computational work; Experience in formal verification methods, logical modelling and statistical analysis is essential; Applicants must have experience in presenting complex scientific concepts and content, and have excellent programming skills in Python, MATLAB and R; They will show a strong commitment to the Fisher lab mission and embody its values through excellent collaborative interpersonal skills, strong communication skills and the ability to work co-operatively in a multidisciplinary setting

                        

Workload: 100%
Duties: With minimal supervision, help ensure the timely and accurate delivery of Group and regulatory requirements; Providing support to the UK Commercial Insurance Reserving Actuary with reporting and communication of the results; Providing support to the business functions, including Underwriting, Pricing and Claims; Driving discussions and production of the business plan with a focus on loss ratios; Providing technical advice and counsel within the Actuarial team and to the wider Finance team, when required; Providing guidance and support for team members; Supporting and advising Finance, market-facing business units, and other functions on reserving and strategic business decisions
Minimum Requirements: Qualified actuary, or nearly qualified and actively studying for the final exams; A high level of numeracy skills and an analytical approach to work is essential; Experience in managing and coaching trainee actuaries; Excellent team-working, communication and interpersonal skills are also required; A serious and professional attitude towards compliance of regulatory submissions with an eye for attention to detail in order to support accuracy; Enthusiastic and positive can-do attitude; Ability to manage competing priorities and driven to deliver to set deadlines; Adaptability and Flexibility

                        

Workload: 100%
Duties: We’re looking for a passionate Catastrophe Modeller or Exposure Manager to work on and design flood models. You must be skilled in development, writing code, and model validation
Minimum Requirements: 2-6 years proven experience of flood modelling including model validation; Excellent technical skills; Experience with research and development; Excel in advisory or consulting; Good organisational and project management skills, including leading a range of project type; The ability to work independently and as part of a team; An experienced mentor to support the technical development of team members; Excellent written and verbal communication skills to communicate technical concepts to technical and non-technical audiences; A proven record of working under pressure and delivering to deadlines; Excellent technical skills

                        

Department: Division of Medicine - Imaging
Workload: 100%
Duties: Applications are invited for a Professor of Medical Statistics from individuals with an exceptional international research profile in relation to career stage. We are seeking a candidate with an established track record in grant funding and high quality publications whose research agenda will attract broad-ranging high level collaborations within the wide community of UCL and beyond, and thereby strengthen UCL's reputation internationally as a leader in the field; The post-holder will be expectedto provide world-leading statistical support to the Department of Imaging in particular and to the wider Division of Medicine in general where applicable
Minimum Requirements: The candidate will have proven ability to carry out high quality original research as well as an excellent track record of high-impact peer reviewed publications and research funding in relation to career stage and will contribute to all aspect of the academic life of the Division, the Faculty and the College; Candidates should also be able to show demonstrable leadership in their research field, reflected by major publications, invited papers at international conferences and awards; Exceptional candidates will have a continuing record of attracting external funding to support research activity, and a clear vision for the potential impact of their research; Candidates must also have an outstanding international research profile, with a continuing track record of extensive high quality publications in peer-reviewed scientific journals and conferences, and a continuing track record of external research grant funding; Experience of teaching at undergraduate and postgraduate levels as well...

                        

Workload: 100%
Duties: Prioritize updates of best estimate assumption reviews based on market needs and taking a risk based view on the need for updates. Play a role in coordinating the update, including mobilizing research and local teams where needed; Engage with the local and research teams during the review itself providing technical input – checking for reasonableness and adequacy of approach and forming the pricing view on the reviewed assumption. Challenge the approach where needed; Share experience of other reviews and connect people to ensure a coordinated and best practice approach to assumption and guideline review between markets; Arrange sign-off of guideline and assumption updates on behalf of the Chief Pricing Actuary; Work with IT and associated teams to manage the guideline platform (‘xWiki’) to maintain guidelines and manage sign-offs
Minimum Requirements: 8y+ experience in the international Insurance/Reinsurance industry, with significant experience in a research or technical pricing role; Management/project management experience; Experience of multiple markets and products would be an advantage; Strong appetite and proven ability to work in an international context with cross-team collaboration; Open-minded, result oriented, you work in an autonomous, organized and rigorous manner. You have proven communication skills especially in a complex context

                        

Workload: 100%
Duties: Reviewing pricing models and understanding pricing process risks and efficiencies to support local teams; Input into further tool development in support of the Global Pricing objectives of improving model and tool governance; Support local teams with the design, development, testing, implementation and governance of pricing tools in support of Global Pricing objectives; Build relationships with stakeholders across the business (markets, IT, modelling community etc) to facilitate the completion of these objectives; Support the specific projects currently underway
Minimum Requirements: 5+ years of experience in a Life modelling actuarial department in the insurance/reinsurance sector or in a consulting firm, preferably with an experience in pricing processes; Skilled in programming and modeling; Strong appetite and proven ability to work in an international context with cross-team collaboration; Open-minded, result oriented, you work in an autonomous, organized and rigorous manner. You have proven communication skills especially in a complex context

                        

Department: Gatsby Computational Neuroscience Unit
Duties: We especially seek candidates whose work addresses fundamental problems in the areas of probabilistic or statistical machine learning. However, Unit faculty have freedom to pursue and develop their own lines of research subject to the success of their research endeavours and compatibility with the overall needs and research aims of the Unit. Collaboration within and outside the Unit is essential and supported through the provision of a generous annual travel allowance to support conference, workshop and collaborative research visits
Minimum Requirements: A very strong analytical background in machine learning, mathematics, physics, computer science, statistics and/or engineering. Faculty members are expected to have a detailed knowledge and understanding of the literature in their appointed research fields, be proficient in its application and have a ready ability to acquire and absorb new information, methods and techniques in the service of research goals

                        

Department: Computer Science
Duration: 1 y       
Workload: 100%
Duties: The post is based at the Centre for Medical Image Computing (CMIC) within the UCL Department of Computer Science. The main duties are: To construct and maintain a computational resource for use by the UCL component of the CRUK International Alliance for Cancer Early Detection (ACED); To exploit modern machine learning and AI techniques for exemplar applications in e.g. prostate, lung, and pancreatic cancer
Minimum Requirements: The applicant is required to have an honours degree (minimum 2: 1) and a PhD in a discipline related to this project (mathematics, statistics, engineering or physics), experience with machine learning and large scale data analysis, and experience in high-performance computing. The applicant should also have excellent communication skills and a commitment to conducting high-quality research; We offer an attractive range of staff benefits including 41 days annual leave per year inclusive of closure days and bank holidays, pension scheme, season ticket loan, professional development, eye care scheme, discounted gym membership and much more. All new staff joining the organisation will be appointed at the bottom increment of a pay grade, only in exceptional circumstances will the salary offered at a higher rate

                        

Department: UCL Queen Square Institute of Neurology - Wellcome Centre for Human Neuroimaging, Max Planck UCL Centre for Computational Psychiatry and Ageing
Workload: 100%
Duties: Applications are invited for a Research Fellow in the Max Planck UCL Centre for Computational Psychiatry and Ageing Research to undertake high quality research and produce high-impact publications as part of an Emerging Leaders Prize awarded to Dr Tobias Hauser by the Medical Research Foundation; The overarching goal is to understand the neural and computational mechanisms underlying psychiatric disorders, such as obsessive-compulsive disorder, using a combination of computational modelling, neuroimaging, pharmacology and smartphone-based data collection
Minimum Requirements: Applicants should have a PhD in computational neuroscience, psychology or a related area by the agreed start-date of the position. Experience of conducting neuroscience research and research with psychiatric patients, programming (especially Matlab and R), web-based experimentation, collection and analysis of neurophysiological data (EEG, MEG), and using computational modelling of behaviour (reinforcement learning, decision making, changepoint modelling and signal detection theory) is essential. A solid knowledge of decision neuroscience and reinforcement learning literature, good interpersonal skills, and a high level of consideration and care for research subjects are also required. Because of the nature of the work, a DBS check is required for this post and must have been satisfactorily completed before the start-date

                        

Department: UCL Queen Square Institute of Neurology - Department of Neuromuscular Diseases
Workload: 100%
Duties: The Department of Neuromuscular Diseases is a hub for clinical and research excellence across the spectrum of spinal cord and neuromuscular diseases. Applications are invited for a Research Fellow to work on identifying the underlying mechanisms of ALS (Amyotrophic lateral sclerosis), a rapidly progressive, incurable and fatal disease that causes the degeneration of motor neurons (MNs) and consequent generalized paralysis; The successful applicant will work at the interface between a computational group, based at the UCL Genetics Institute (under the supervision of Dr Maria Secrier) and wet labs based at the UCL Queen Square Institute of Neurology (Dr Pietro Fratta, Professor Adrian Isaacs), with the opportunity to balance the time spent in both locations depending on the needs and preferences of the candidate
Minimum Requirements: Applicants must have a PhD in Neuroscience, Biostatistics, Mathematics, Physics or related discipline, experience with scientific programming (R, Python and MATLAB) and computational biology, ideally high throughout sequence data analysis. The ability to work in a diverse group including computational and experimental neurobiologists, to write clearly and succinctly for publication, to prioritise own work for deadline and to present research findings with authority and coherence are also requirements. Experience in neuroscience and advanced statistics is desirable

                        

Department: Chemistry
Workload: 100%
Duties: The successful candidate will join a very active inter-disciplinary group in the Centre for Computational Science, and will work on the development and deployment of medical and clinical applications of the lattice-Boltzmann method for blood flow; The postholder will work primarily on scientific applications of HemeLB, a flexible open source lattice-Boltzmann code for the simulation of blood flow, at the scale of the entire human body, in support of medical and clinical decision making and for physiological research. Coupling of HemeLB to human heart models is now underway and is likely to form a significant aspect of this research. The postholder will be expected to engage closely in the development of software within the project, and with the verification and validation of the methods being deployed, in order to facilitate uptake of these methods within the computational biomedicine community; The appointment is for 24 months in the first instance and is available immediately
Minimum Requirements: A PhD (or near to being awarded a PhD) degreeinvolving a substantial high-performance computing componentin physics, computer science, computer engineering, applied mathematics or chemistry, with experience in the lattice-Boltzmann method, is an essential requirement. Experience in high performance computing is also essential, alongside a proven ability to programme quickly and effectively in state-of-the-art high-performance computing environments; familiarity with GPU programming in such contexts is desirable. Additional experience in developing and exploiting state-of-the-art methods in any one or more of multiscale/multiphysics methods, medical imaging, visualisation and computational steering would be advantageous

                        

Department: Division of Surgery and Interventional Science - Department of Targeted Intervention
Duties: The postholder will be part of the new center in 3D models of health and disease and help develop strategic research in regenerative medicine within the Division and beyond. The postholder is expected to strengthen the existing regenerative medicine network across disciplines. The professor will contribute to the research culture and profile of the Campus Department and Division
Minimum Requirements: The postholder must possess a Higher academic degree e.g. PhD, or evidence of an equivalent level of attainment in research publications, an internationally excellent record of scholarly publication that will make a positive contribution to the REF 2021 submission and an awareness of Higher Education issues and possible implications for the department. Track record of high quality original research and extensive publications in high quality peer-reviewed scientific journals and conferences, an active research profile at international level with a continuing track record of external research grant funding and the ability to communicate with colleagues within and outside the Department of Targeted Intervention and 3D models of health and disease: this includes general liaison and also postgraduate teaching are all essential

                        

Duties: Would you like to contribute your creativity to an international team of scientists from all disciplines focusing on basic research in the molecular sciences? European Molecular Biology Laboratory (EMBL) invites you to apply for PhD positions in Barcelona, Grenoble, Hamburg, Heidelberg, Hinxton (near Cambridge) and Rome
Minimum Requirements: First degree in Biology, Chemistry, Physics, Mathematics, Computer Science, Engineering, Molecular Medicine