Department: Department of Mathematics
Duration: 3 y       
Workload: 100%
Duties: The UCL Department of Mathematics invites applications for outstanding candidates to apply for a Clifford Research Fellowship in Pure Mathematics; The successful candidate is expected to undertake high standard research in pure mathematics, leading to conference presentations and publication in leading journals, and to contribute to the research environment of the department through interaction with staff and students. A limited amount of teaching at undergraduate level will be expected
Minimum Requirements: The successful candidate must have a PhD or equivalent in mathematics or related discipline and a track record of international research excellence and publishing in pure mathematics. A written independent research plan will form part of the application and it will be advantageous if the proposed research is related to one of the department's pure mathematics research groups: pure and applied analysis; mathematical physics; geometry and topology; algebra, number theory and combinatorics

                        

Department: Chemistry
Duration: 3 y       
Workload: 100%
Duties: The postholder will focus on the development of accurate quantum dynamics methods. The work has three main parts (i) to develop our direct dynamics method (DD-vMCG) (ii) to develop the recent Quantum-Ehrenfest method (Qu-Eh) (iii) to simulate measurable signals on a range of molecules that will be compared to experiments carried out by our collaborators
Minimum Requirements: The successful candidate will have a PhD degree (or be about to be awarded a PhD) in Theoretical Chemistry, Physics, or similar subject. A knowledge of quantum mechanics and quantum dynamics simulations, as well as using quantum chemical methods for excited state calculations is required, as well as experience with programming. Experience with HPC and Fortran Programming is highly desirable. They will be expected to work in a highly multidisciplinary collaborative team, and have effective verbal and written communication skills in English

                        

Department: Computer Science
Duration: 1 y
Duties: The project focuses on developing and applying machine learning models to investigate complex relationships between multimodal neuroimaging data and multidimensional descriptions of mental health disorders
Minimum Requirements: A first degree in a subject with a strong engineering, computer science or mathematics/statistics component, is essential. Candidates must have experience in software development and machine learning. Previous experience in neuroimaging data analysis is desirable. A track record of publishing in peer-reviewed journals and/or conference papers is also desirable

                        

Duration: 3 y
Duties: We are looking to recruit an expert structural biologist, bioinformatician or cheminformatician to join the PDBe curation team. High-quality curation of new depositions is essential for PDB and EMDB to remain the authoritative global sources of biomacromolecular structure information; The work involves annotating preliminary PDB and EMDB submissions and extracting relevant biological information. PDBe staff annotate more than a third of all PDB and EMDB depositions worldwide. The work will also involve analysis of structure data and enriching PDBe tools and services. The data curators also participate in developing training material and delivery of workshops and in outreach activities
Minimum Requirements: The candidate should have a PhD and a minimum 2 year’s work experience in structural biology, bioinformatics or cheminformatics and should demonstrate a working knowledge of small molecule chemistry and/or macromolecular structure, and ideally a broad knowledge in molecular biology or biochemistry; The post holder should be able to work both independently and in close collaboration with the wwPDB OneDep and PDBe team members. Communication with depositors is an essential part of the job. Excellent communication and interpersonal skills as well as excellent knowledge of English are therefore required

                        

Department: Institute of Cardiovascular Science - Population Science & Experimental Medicine
Workload: 100%
Duties: Based in the Centre for Translational Genomics which focuses on discovering genotype-phenotype relationships through multi -omics and disease outcome data from population and patient cohorts, the postholder will utilize the genomics and drug development data captured in the DTAdb (a new bioinformatics tool) to drive an exhaustive positive control project determining genetic parameters of successful and robust replication of drug-target effects. The postholder will also work to enhance the capability of DTAdb to eg incorporate additional datasets, developing code that streamlines connections between the datasets and executing analyses to answer specific drug development questions
Minimum Requirements: Candidates will have (or be about to be awarded) a PhD in bioinformatics, computational biology, computer science or a related discipline. With strong programming skills including advanced skills in Python, you will be comfortable manipulating large-scale data, and have some experience in building bioinformatics pipelines. Experience in relational database queries (SQL) or similar languages is also required. You will be an effective independent worker and also a collaborative team member

                        

Department: UCL Queen Square Institute of Neurology - UK Dementia Research Institute at UCL
Duration: 1 y       
Workload: 100%
Duties: We are looking for a highly motivated and qualified Research Fellow to join the Sala Frigerio research group. The post holder will analyse human brain tissue using single cell (RNA and DNA) sequencing and spatially-resolved transcriptomic methods. The appointee will be responsible for the design and analysis of single cell sequencing experiments, and for the development and implementation of new sequencing methods
Minimum Requirements: The successful candidate will have a PhD in an appropriate discipline (e.g. Neurobiology, Genetics, Bioinformatics, Computational biology). Applicants must have experience in analysing next generation and single cell (RNA and DNA) sequencing data and knowledge of scientific programming (R, Python and Unix). You will have an understanding of the UK DRI mission and embody its values through excellent collaborative interpersonal skills with an ability to work co-operatively in a multidisciplinary setting are essential; Experience in single cell (RNA and DNA) library preparation methods and long read sequencing (Nanopore and/or PacBio) library preparation and data analysis is desirable

                        

Department: UCL Great Ormond Street Institute of Child Health - Population, Policy and Practice Programme
Duration: 3 y       
Workload: 100%
Duties: The post holder will be taking forward national observational studies of children diagnosed with uveitis, working as part of a small study team. S/he will have primary responsibility for day-to-day study administration and data collection, perform quantitative research analyses, write scientific reports and support the dissemination of findings from the studies
Minimum Requirements: The postholder must have an undergraduate degree in a relevant health-related discipline, and ideally a Masters degree in epidemiology, statistics or another relevant subject. S/he must have a strong understanding of quantitative research techniques, as well as demonstrable experience of managing research projects, quantitative data analysis and writing up research findings in scientific reports to a high standard. An interest in childrens health and disorders is essential. The successful candidate must have good IT, organisational, administrative and communication skills

                        

Department: Division of Medicine - Wolfson Institute for Biomedical Research
Workload: 100%
Duties: The International Brain Laboratory (IBL) is seeking a highly motivated Research Fellow to work under the joint supervision of Michael Häusser and Matteo Carandini at University College London. The IBL is a unique global collaboration, funded by the Wellcome Trust and the Simons Foundation, that aims to establish the neural basis of decision-making. To this end, the IBL is developing a standardized mouse decision-making behavior, making coordinated measurements of neural activity across the mouse brain, and using theory and analysis to uncover the underlying neural computations
Minimum Requirements: Applicants should have a PhD or equivalent in neuroscience, engineering, computer science, mathematics, physics, or a similar field, and an ability to work in a diverse group including computational and experimental neurobiologists. Extensive experience with in vivo electrophysiology, imaging, surgery, and behavioral training is highly desirable. Essential requirements are experience with analyzing data (ideally using Python), and experience of writing scientific manuscripts as evidenced by a solid record of publications

                        

Department: Bartlett Centre for Advanced Spatial Analysis (CASA)
Duration: 1.5 y       
Workload: 100%
Duties: The research fellow will work on the Indicative Data Science project which is funded by the UK Research and Innovation (Future Leaders Fellowship): Indicative Data: Extracting 3D Models of Cities from Unavailability and Degradation of Global Navigation Satellite Systems (GNSS)
Minimum Requirements: We are seeking a person skilled in at least two of the following areas: computer programming, statistics and data science, positioning and mapping, signal processing, who is likely to have a background (ideally PhD) in physics, mathematics, statistics, electrical engineering, or the computer sciences, or a cognate scientific area. Ideally, the person would have expertise in missing data, signal processing, crowdsourcing, mapping and navigation, mobile computing, and would know how to work with missing spatial data. We are looking for individuals to build a statistical framework to analyse missing data, biases in data, low-quality data in order to make inference about the underlying reasons that caused gaps, attenuation and uncertainty and then examine some hypothesis about the surrounding environment

                        

Department: Cancer Institute - Oncology
Duration: 4 y       
Workload: 100%
Duties: We are seeking a collaborative
and self-motivated post-doc Senior Research Fellow (Bioinformatics) to work on developing and maintaining robust analytical pipelines and enabling an access portal for data analysis. The post holder will be based at UCL Cancer Institute, working in collaboration with Manchester and will be responsible for developing best practice workflows to help automate the analysis of high throughput data (>5PB) generated by a variety of technologies including Illumina deep sequencing
Minimum Requirements: Applications are invited for a Post-Doc Senior Research Fellow with a commitment to high quality research and evidence of independent and original contributions to research; Applicants will have a proven track record of pipeline development with version control, bug tracking, unit and integration testing. Strong skills in the field of genomics and desirably one or more of the following: cancer biology, evolutionary biology, statistics, mathematics; Significant experience in writing complex bodies of code and coding in the context of a software development environment is also essential; Prior experience creating infrastructure for data access based on integrating large data sets is particularly desired

                        

Department: Behavioural Science and Health
Duration: 1 y       
Workload: 100%
Duties: The post will be based within the English Longitudinal Study of Ageing team that carries out high quality research in ageing. The post holder will be working on a project exploring the risks of missing out on a good later life. The role entails communicating with non-academics, secondary data analysis for the purpose of writing a report
Minimum Requirements: MSc in Epidemiology or Medical Statistics and PhD in epidemiology, demography, medical statistics, or relevant discipline or equivalent research experience; Essential skills in statistical analyses in R, Stata or SAS and laying out clearly results in tables and graphs. Excellent communication skills (speaking and writing)

                        

Department: Division of Medicine - Renal Medicine
Duration: 2 y       
Workload: 100%
Duties: The post-holder will provide a key analytical contribution within a strong team of bioinformaticians, biologists and clinical/genetics researchers aiming to gain new insights into kidney disease using this unparalleled resource. They will also provide support and coordinate the activities of a UK-wide team called the renal Genomics England Clinical Interpretation Partnership (GeCIP), which is led by UCL
Minimum Requirements: The successful applicant will have experience in computing, including writing code to analyse large-scale data and co-ordinating software development. They will have a good understanding of the principles of statistics and bioinformatics and will be able to communicate effectively with colleagues as well as a PhD

                        

Department: Department of Mathematics & Department of Statistical Science
Workload: 100%
Duties: There are four posts available: IMSS Senior Research Fellow in Pure Mathematics; IMSS Senior Research Fellow in Applied Mathematics (including Financial Mathematics); Two IMSS Senior Research Fellows in any area of Statistics and Applied Probability
Minimum Requirements: The successful candidate must have a PhD in mathematics, statistics or related discipline and a track record of international research excellence and publishing in the relevant discipline. A written independent research plan will form part of the application and it will be advantageous if the proposed research is related to one of the departments research groups: for pure mathematics: pure and applied analysis; mathematical physics; geometry and topology; algebra, number theory and combinatorics; for applied mathematics: applied and numerical analysis; fluid mechanics; mathematical physics; financial mathematics; mathematical modelling in biology, industry and society; for statistical science: biostatistics; computational statistics; economics, finance and business; general theory and methodology; multivariate and high dimensional data; stochastic modelling and time series

                        

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: Geography
Workload: 100%
Duties: The postholder will research improved ways of concatenating and conflating consumer Big Data sources with conventional social surveys and framework datasets. The postholder will research future data acquisition strategies, including development of appropriate preservation and custodianship, consistent with data user priorities
Minimum Requirements: We are seeking someone with a MSc or PhD in computer science/information science or an allied discipline with a strong programming component, with awareness of quantitative methods and social science datasets; The successful applicant will be required to attain BPSS security clearance in order to use the UCL secure data facility as part of their duties

                        

Duties: Tutoring in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics, Calculator Technical Assistance, GMAT & SAT, Others; you pay 150 CHF, Euro or US$ for your advert to appear on www.all-acad.com/Tutoring for one year

                        

Department: Computer Science
Duration: 2 y
Duties: The Statistical Machine Learning Group is part of the Centre for Artificial Intelligence at UCL and has a strong background in probabilistic modeling, data-efficient machine learning, and reinforcement learning. The successful applicant will lead and contribute to research projects at the intersection of machine learning and climate science. They are also expected to contribute to student supervision and interact with research and project partners. The key objective is to investigate the usefulness of statistical machine learning models (e.g., spatio-temporal models, deep probabilistic models) to support climate science and climate action, e.g., by designing faster simulators and predictors or developing specific tools for analyzing environmental data
Minimum Requirements: The successful applicant will have a PhD by the time of starting the position, either in machine learning, statistics, computer science, climate science or a different relevant area. They should have a track record of internationally recognized research and be able to work as part of a team. Research skills, ability to analyse and write up data, effective written and verbal communication skills are essential

                        

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

                        

Duration: 3 y
Duties: You will work alongside the team’s Biocurators, Bioinformaticians and Software Engineers to provide innovative data services from the European Nucleotide Archive (ENA) to support our user communities in two areas: Helpdesk support which centres upon submission and validation services for data handled by the Data Coordination and Archiving team, including those submitted to the ENA. Main responsibilities will be the delivery of expert advice on data submission requirements and protocols, data validation and processing and integration the submitted data with assembly, project, sample and other high-level information to users of our web and programmatic interfaces; You will contribute to the EarlyCause project, working towards the integration of data services, experimental standards and best practices to support next-generation research on ELS and multi-morbidity. You will provide data coordination services for this project, including the establishment and maintenance of a Data Manageme...
Minimum Requirements: A university degree in the life sciences and either a post-graduate degree or a PhD in bioinformatics, data science or a biological science; Broad knowledge of molecular biology and next-generation sequencing technologies; Experience of working in a data coordination role; Relational database management systems and SQL query language; UNIX command line operations; Knowledge of XML format and schema; You will be expected to: have excellent oral and written communication skills; be highly organised and able to meet deadlines; be able to demonstrate a high level of attention to detail; work both independently and as part of a team; be capable of planning and delivering projects

                        

Department: UCL GOS Institute of Child Health
Duration: 3 y
Duties: The project is suitable for applicants with an MSc in statistics or from a clinical neuroscience background with strong analytic skills. Applicants should have or expect to receive a first class or upper second class honours degree and should be ordinarily resident in the UK or EU. Previous research experience working with large, complex data and the application of advanced statistical methods would be an advantage, but training in the techniques required for the research will be provided

                        

Duration: 3 y
Duties: You will develop and deploy bioinformatics tools and workflows on model organism genomic data on behalf of the Alliance of Genome Resources. Specifically, your work will include the following: Pipelines for the integration and annotation of model organism genomic variants using the Ensembl Variant Effect Predictor (VEP) and associated tools; Resources for model organism gene- and genome-level sequence homology, including protein multiple sequence alignments and synteny; Pipelines for efficient ingest of large genomic data sets; A shared data model, API and tools for the AGR portal
Minimum Requirements: You should hold a degree in biological or computer science, and at least two years experience working in bioinformatics. We are specifically looking for: High degree of proficiency in at least two programming languages (e.g. Python and Java); Practical experience working with relational Databases platforms (e.g. MySQL, Postgres); Experience working with genome analysis and annotation tools; Familiarity with cluster compute environments and/or workflow management systems; Excellent communication skills

                        

Duration: 3 y
Duties: You will be a be a member of the EMBL-EBI Eukaryotic Annotation Team and, under the supervision of the Team Leader, will operationally lead our contribution to the Alliance of Genome Resource, WormBase, and WormBase ParaSite. You will work closely with peers at international partner sites to ensure that the overall goals of these projects are met. Your specific responsibilities will include: Line management of a team of 5-7 bioinformaticians, developers and curators; Leading the development of genomics data analysis and integration pipelines for the Alliance of Genome Resources and WormBase; Project management for the provision of parasitic worm genomics data via the Ensembl platform; Leadership of the curation effort for the reference genome and annotation for C. elegans and selected other nematodes; Engagement with relevant scientific communities; Writing publications and reports; Representing the project(s) at meetings and conferences
Minimum Requirements: You will ideally hold a PhD or equivalent in bioinformatics or a related field with demonstrated expertise in genomics. Applicants with a MSc and appropriate experience will also be considered; Broad practical knowledge of genomic analysis techniques and tools; Knowledge of genome annotation methodologies; Practical experience with using databases for modelling complex biological data (knowledge of graph databases will be considered a plus); Excellent written and verbal communication skills

                        

Duties: to generate evidence and develop value communications in the field of health economics covering disease burden, clinical trials, health-related quality of life and cost-effectiveness evaluations
Minimum Requirements: Minimum of three years’ experience in the field of HTA/SLR/HEOR ▪ Management of project budgets, timelines and resource requirements ▪ Proven ability to lead teams of scientists ▪ Proven breadth of experience across multiple project types and disease areas or depth/specialism in a discipline

                        

Duties: to lead a range of health economics and outcomes research projects
Minimum Requirements: Higher degree (PhD or MSc) in health economics or related discipline, or psychometrics ▪ Ability to work independently but also as part of a cross-functional team ▪ Strong knowledge of health economics and methodologies for the analysis of patient-reported outcomes (e.g. utility measurement, analysis and development of patient reported outcome measures, costing studies) ▪ Experience of designing and implementing health economics and/or PRO studies ▪ Good knowledge of HTA methods and processes

                        

Duties: 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. Additional responsibilities include: ▪ Internal and external day-to-day management of projects; ▪ Ability to work independently but also as part of a cross-functional team; ▪ Study design development and implementation across a variety of therapeutic areas; ▪ Drafting reports and contributing to HTA submissions; ▪ Client management
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