Department: UCL Great Ormond Street Institute of Child Health
Duration: 1+ y       
Workload: 100%
Duties: This role will provide pharmacometrics input to a Wellcome trust funded project to use machine learning for predicting pharmacokinetics. The project is a collaboration with computer scientists at UCL and Benevolentai and the successful candidate will bring their pharmacometrics expertise to the team. This role will provide educational, publication and collaboration (academic, clinical and industry) opportunities
Minimum Requirements: An enthusiastic post-doctoral researcher with background knowledge and experience in developing population PKPD models. Candidates with particular interest in developing skills in machine learning and artificial intelligence (particularly natural language processing) are particularly encouraged to apply

                              

Duration: 3 y
Duties: You will work closely with our pharma collaborators in Open Targets initially to identify gene signatures for Alzheimer's disease progression phenotypes, but the approach will also be extended to other diseases. You will analyse datasets and develop new methods for signature derivation and also applications to specific diseases. This will address the challenging problem of how we diagnose diseases and identify their causes and possible therapeutics. Your methods will directly contribute to the data production pipelines of the Expression Atlas, which is one of EBI’s core open resources
Minimum Requirements: PhD degree in Computational Biology, Bioinformatics, Computer Science or Mathematics. Bioinformatics data analysis methods development. Working in a unix-based environment and high performance computing cluster environment. Gene expression data analysis (NGS and microarrays). Strong technical, interpersonal and communication skills are key to this position. The scientists involved come from many different disciplines including biology, computational sciences and statisticians
Preferred Requirements: Background in statistical methods development. Background in working with data from age-related neurodegenerative diseases

                              

Department: Betriebsorganisation und Informationstechnologie
Duties: die fachliche Erstellung und Prüfung von Change Requests zur Weiterentwicklung der Bestandsführungssysteme; die fachliche und technische Betreuung externer Schnittstellen; das Testen von neuen und modifizierten Programmen in Abstimmung mit den Fachabteilungen sowie externen und internen Softwareentwicklern; die Mitarbeit in Projekten; die Erarbeitung von fachlichen und technischen Problemlösungen; die Erstellung von Statistiken und Auswertungen aus unseren Bestandsführungssystemen; die fachliche und technische Unterstützung und Beratung unserer Mitarbeiterinnen und Mitarbeiter bei der Anwendung und Fehleranalyse unserer Bestandsführungssysteme; die Teilnahme an internen und externen Facharbeitskreisen
Minimum Requirements: einen abgeschlossenen Hochschulabschluss im Fachgebiet Wirtschaft, Informatik, Mathematik oder eine vergleichbare Qualifikation; möglichst Kenntnisse der wesentlichen Kernabläufe des Versicherungsgeschäfts; idealerweise Kenntnisse in der betrieblichen Altersversorgung und deren steuer- und sozialversicherungsrechtlichen Rahmenbedingungen sowie buchhalterische Kennnisse oder Bereitschaft sich in diese eigenständig einzuarbeiten; einen sicheren Umgang mit dem Microsoft-Office-Paket, insbesondere gute Kenntnisse in Microsoft-Excel und Access, sowie möglichst Kenntnisse in SQL; gute schriftliche und mündliche Ausdrucksweise

                              

Duties: A client to Fen Associates seek an experienced Actuary/Underwriter with Long Tail experience

                              

Duties: Work closely with the Data Quality Management team in order to adapt the model points into the IFRS 17 frame. Understand interfaces to other departments and functions and assist the solution design and implementation for IFRS 17. Work on the normative analysis and impact assessment on the business of the company. Take part in the development of evolutions to adapt the current Prophet model to the new standards. Support the operationalization of IFRS 17
Minimum Requirements: Actuarial qualification (part-qualified) or qualified. Knowledge in IFRS 17 or high motivation on the subject to become an expert. Knowledge in Solvency 2 will be an advantage. Experience with actuarial systems (e.g. Prophet, SAS). Interests in programming. English fluency is a necessity. French fluency will be an asset. Good communication skills, team player, organized and punctual. Good project management skills, result-oriented work in a project environment

                              

Duties: Supporting all capital, cash and collateral managements tasks for the Life Division. Provide financial information for models of Rating Agencies and carry out analysis on rating impacts for controlling purposes. Support planning process for capital, cash and collateral topics and prepare variance analysis. Support in the negotiation of internal retrocessions contracts for the Life Division
Minimum Requirements: University degree in mathematics, actuarial science, economics or other discipline with a strong mathematical component. At least 5 years working experience in life (re)insurance or audit/consulting firm, preferable in the life segment related to actuarial and/or controlling tasks. Additional experience in financial planning and reporting (IFRS, Economic metrics) preferred. Advanced IT skills of standard software (MS Office; Access or similar database solutions) required. Excellent analytical and conceptual skills, accuracy with numbers and attention to details required. Comfortable with evolving priorities and adaptable to change. Responsible and goal-orientated work style. Ability to interact and communicate effectively across departments and locations. Very good English language proficiency

                              

Duties: We are working with a leading International Reinsurance organisation who are looking for an IFRS17 Actuary/Senior Analyst to work within an amazing team of Actuaries
Minimum Requirements: Do you have 3-6 years of experience? Are you a whiz with SQL? Are you qualified or have the relevant experience?

                              

Duties: Förderung von weltweiten Forschungsaufenthalten für Wissenschaftlerinnen und Wissenschaftler aller Karrierestufen und Fachgebiete aus Deutschland. Bewerber wählen einen Gastgeber aus rund 15.000 Wissenschaftlern aus dem Humboldt-Netzwerk im Ausland

                              

Duties: Mit dem Preis werden Wissenschaftlerinnen und Wissenschaftler für ihr bisheriges Gesamtschaffen ausgezeichnet, deren grundlegende Entdeckungen, Erkenntnisse oder neue Theorien das eigene Fachgebiet nachhaltig geprägt haben und von denen auch in der Zukunft weitere Spitzenleistungen erwartet werden können. Nominiert werden können Wissenschaftler aus dem Ausland aller Fachrichtungen und aller Länder. Auf die Nominierungen qualifizierter Wissenschaftlerinnen wird besonderer Wert gelegt
Minimum Requirements: Internationale Anerkennung des Nominierten als herausragend qualifizierter Wissenschaftler (z. B. Auszeichnungen, positive Resonanz auf Veröffentlichungen, etc.); Zukunftsperspektive für die nächsten Jahre als aktiver, wissenschaftlich einflussreicher Forscher; Ausführliche gutachterliche Stellungnahme eines Wissenschaftlers an einer Forschungseinrichtung in Deutschland, der den Nominierten zu einem Forschungsaufenthalt in Deutschland einladen möchte; Zwei Referenzgutachten wichtiger internationaler und eins vom deutschen Kooperationspartner bzw. Wissenschaftler; Die Humboldt-Stiftung setzt voraus, dass bei Nominierung und Förderung die Regeln guter wissenschaftlicher Praxis eingehalten werden

                              

Department: Department of Environmental Social Sciences (ESS)
Duration: 2-3 m       
Workload: 60%
Duties: The assistant work consists mostly of quantitative data analysis (descriptive statistics, pattern recognition, correlation analysis), and reporting. The available data sets result from previous online surveys about the environmental attitude of respondents and their preferences concerning wastewater management
Minimum Requirements: We are looking for candidates who are highly motivated, diligent, precise, and cooperative. The candidate needs to be fluent in English, should know the basics of research work, should have good experience in the use of R (or another statistical analysis software), and in quantitative data analysis. He or she should have good writing skills. Basic knowledge of French language and of qualitative data analysis are an advantage. The candidate should preferably be a master student, or have just graduated. It would be possible to use the data for a master thesis

                              

Department: Institute of Health Informatics
Duration: 2+ y       
Workload: 100%
Duties: The appointee will draw on the wealth of research excellence and translational experience brought together in UCL partner organisations. The post-holder will foster the development of a vibrant culture of translational science and will act as a role model for scientists at all stages in their careers. The successful candidate will be expected to leverage the multidisciplinary culture that characterises Health Data Research UK London, and for which UCL is also renowned
Minimum Requirements: Educated at PhD level in a relevant quantitative discipline in bioinformatics, health data science, information systems engineering or computer science, the post-holder will ignite new biological- and data-intensive health research and collaborations, through cross-disciplinary technological advances, e.g. in data-driven innovation, imaging and phenotypic screening. We believe that there is a timely opportunity to derive value from patient-focused clinical data, e.g. determining the response or relapse of any residual tumour after surgery or after drug or radiation therapy. The post-holder will work closely with their counterpart in Edinburgh to map out numbers of brain tumour patients of different types by age and date across Scotland/London and, in addition, they will build longitudinal trajectories of consented Scottish/London-based sub-cohorts to examine co-morbidities, tumour recurrence, repeat surgery, deaths by cause etc. It is expected that the appointee will have an ORCID ID a...

                              

Department: Faculty of Engineering Sciences
Workload: 100%
Duties: The Faculty seeks to employ a Teaching Fellow, ideally with both engineering and educational experience, industrial experience or experience of level 3 (A-level) teaching would be valuable. The post holder will work with staff across 6 departments within UCL Engineering to develop and teach cross-faculty elements of the year 1 and year 3 IEP Mathematics curriculum
Minimum Requirements: The ideal candidate would be Educated to Degree level in an engineering science discipline, or hold equivalent qualifications and/or experience, and have experience of curriculum design projects. Experience of using innovative Teaching Methods, including incorporating new technologies into the design and delivery of curricula is also desired as well as the ability to communicate clearly, both orally and in writing, with students, academics and professional services staff at all levels

                              

Duration: 4 y
Duties: The goals of this research are (1) to develop a quantitative theory that can explain the effectiveness of the prevalent techniques used for solving IPs (e.g. branch & bound, cutting planes, diving heuristics, etc.), (2) to develop new and effective techniques for solving IPs and (3) to build new connections between the study of IP, theoretical computer science and optimization
Minimum Requirements: The PhD candidate is required to have a strong background in at least one of the following areas: optimization, theoretical computer science or discrete mathematics. Research experience within the domain of IP (theory or practice) is a plus. The most important qualification however is an open mind and the ability to pick up new material quickly. Candidates are expected to have an excellent command of English, and good academic writing and presentation skills

                              

Department: School of Electronic Engineering & Computer Science
Workload: 100%
Duties: We are currently looking to appoint a Lecturer in Cloud Computing who will provide teaching and ongoing research in our Networks Research group
Minimum Requirements: To apply, you should have a PhD or equivalent professional experience, and have an appropriate track-record of high quality research in the field of Cloud Computing. You should have clear and ambitious plans for your future research and be able to develop research proposals, bid for and secure external research funding, and effectively manage subsequent awards

                              

Duration: 3 y
Duties: As a Postdoctoral Fellow in the group you will contribute to our research portfolio, ranging from cancer evolution over imaging to large scale epidemiological data analysis projects. You will drive your own research project and collaborate closely with other members of the group as well as local and international collaboration partners
Minimum Requirements: a doctoral degree or equivalent qualification in computational biology, statistics, physics or related field; previous experience with advanced statistical and machine learning tools such as R, Python, or Matlab and have an interest to apply these skills to improve our understanding of cancer; a strong publication record; the ability to drive and contribute to research projects and independently develop new research ideas; previous experience in coding and mastering large data volumes; excellent communication skills to clearly present your research ideas to experts as well as lay audiences
Preferred Requirements: experience with analysing genomic and other high-dimensional biomedical data sets a background in molecular biology, or previous experience tackling biological questions; used and developed tools for interactive reporting, such as Shiny

                              

Department: Biochemical Engineering
Workload: 100%
Duties: Determine critical process parameters (CPP) andcritical quality attributes (CQA) of conventional batch downstream processing (DSP) operations through analysis of historical datasets and link to continuous operation. Development of multivariate data analysis (MVDA) models to enable on-line predictions of product quality and identify optimum process operating conditions for continuous DSP operations. Implement enhanced control strategies demonstrating accurate on-line product quality predictions. Applications will demonstrate continuous capture chromatography integrated with continuous culture for products ranging from labile proteins to stable antibodies through interaction withindustry partners
Minimum Requirements: Specific Eligibility Criteria valid at time of recruitment on the H2020 Marie Skùodowska Curie programme: The applicants have to be within the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. Mobility rule: The applicants may not have resided or carried out main activity (studies, work, etc.) in United Kingdom for more than 12 months in the 3 years prior to the recruitment date. Excellent skills in spoken and written English. Master’s degree or equivalent in Bioprocessing, Computer Science or relevant subject area. Interpersonal skills conductive to team work and group research efforts. Travel abroad for training purposes is part of the training programme. Candidate requirements: This project will require the candidate to possess basic engineering and computing skills and a desire to understand the challenges of dealing with complex biological materials in real environments. Ideally with the following ...

                              

Department: DTU Space
Duration: 3 y
Duties: Be responsible for developing and testing a new open-source geostatistical modelling and probabilistic inversion scheme in spherical geometry. Rigorously test and optimize the software for use on a high performance computational cluster. Contribute to new approaches for exploiting prior information in solid Earth geophysics, based on training images. Apply the developed scheme to magnetic field data collected by ESA’s Swarm satellites. Publish descriptions of the new modelling technique, and the results of its application to satellite magnetic data, in the international peer reviewed literature. Present your research at international conferences
Minimum Requirements: Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree e.g. a master’s degree in geophysics, Space physics, or computer science

                              

Duties: Development and application of new machine learning models for the quantitative prediction of biomolecular interactions. Predictions will be validated and assessed using data derived from high-throughput next generation sequencing and directed evolution experiments
Minimum Requirements: Strong interest/experience in protein engineering, directed evolution. Strong interest/experience in next-generation sequencing. Computer programming skills (python, MatLab, Linux, or similar). For PhD position: Master of Science in relevant field (chemistry/biochemistry, physics, biotechnology, etc...) from an accredited institution

                              

Department: UCL Queen Square Institute of Neurology
Duration: 3+ y       
Workload: 100%
Duties: We are looking for two ambitious, hard-working bioinformaticians to develop innovative techniques and applications to interrogate and identify genetic causes, risks and biomarkers in the wealth of data from the MRC International Centre for Genomic Research and the 100, 000 genomes project. As key bioinformatician, you will work on the large amount of genetic and genomic data
Minimum Requirements: The successful candidates will hold Honours degree (minimum 2: 1) in Biological Sciences or a related discipline and will have experience in SNP array, exome and genome analysis. Experience of working with genetics, research and experience of bioinformatics is essential. Post holders must have good inter-personal skills with an ability to work co-operatively in a multidisciplinary setting. IT proficiency at advanced user level (Spreadsheet, Word Processing, Database, Email, Web based applications) is also required

                              

Department: Institut für Medizinische und Pharmazeutische Chemie
Duration: 3 y       
Workload: 50%
Duties: Die Stelle dient der Qualifizierung des wissenschaftlichen Nachwuchses und bietet die Möglichkeit zur Promotion. Das Dissertationsprojekt ist im Bereich der Anwendung maschinellen Lernens und künstlicher Intelligenz zur Vorhersage von Arzneistoffeigenschaften angesiedelt. Ihre Aufgaben umfassen die Beteiligung an den Lehrveranstaltungen des Instituts und die eigene wissenschaftliche Weiterqualifikation im Rahmen einer Promotion. Weiterhin bieten wir die Beteiligung an Industrieprojekten und Fragestellungen der deutschen und europäischen Arzneibuchkommission an
Minimum Requirements: Gesucht wird eine/ein Apotheker/in, Chemiker/in (M.Sc.) oder Bioinformatiker/in (M.Sc.) mit Interesse oder ersten Erfahrungen in der Chemieinformatik oder Chemometrik

                              

Duration: 3 y
Duties: As a Software developer/bioinformatician for USI you will be responsible for the technical design, development, delivery, and maintenance of USI services and software. The team uses agile methods and requires the structured use of Jira and Git in a collaborative manner. The teams primarily writes programs in Java and the USI uses a microservices architecture. We value matching the right solution to the right problem and you will have the opportunity to improve and contribute to further development of the architecture
Minimum Requirements: Proven experience developing and deploying Java solutions in a production environment. The successful candidate should have a minimum of three years' experience in production Java programming, including core libraries, JSON parsing, and REST API programming, as well as comfort at the Unix command prompt. Excellent communication skills, ability to work as part of a team of people with a range of skills and a diversity of backgrounds. Strong experience in multi-year team projects. The ability to build reliable platforms, including unit tests, continuous integration and staged deployment. A willingness to learn others' code and participate in design and testing
Preferred Requirements: Familiarity with technologies like MongoDB, RabbitMQ, TravisCI, Spring Boot and Gradle is useful but not essential. Practical experience of data management. Knowledge of Agile software development Knowledge of biology is not required, though you should be willing to learn about specific aspects to support our users’ requirements

                              

Department: Professur für Rechnungslegung und Wirtschaftsprüfung
Duration: 3 y       
Workload: 75%
Duties: Die Professur befasst sich in der Lehre mit den Themenbereichen Rechnungslegung und Unternehmenspublizität, Wirtschaftsprüfung und Corporate Governance sowie Unternehmens¬analyse und -bewertung. Schwerpunkte in der Forschung sind die ökonomische Analyse der Regu¬lierung der Unternehmenspublizität, die empirische Untersuchung der kommunikativen Interaktion von Unternehmen und Stakeholdern sowie Fragestellungen der Corporate Governance
Minimum Requirements: Wir erwarten von Ihnen ein mit gutem Erfolg abgeschlossenes Hochschulstudium (Diplom- oder Masterstudiengang) aus dem Bereich der Wirtschaftswissenschaften, Statistik oder einem verwandten Studiengang, mit einer Spezialisierung in den Bereichen handelsrechtliche und internationale Rechnungslegung sowie Wirtschaftsprüfung und Corporate Governance. Wünschenswert sind Kenntnisse bzw. Schwerpunkte in den Bereichen Kapitalmarkttheorie und Finanzierungslehre, Statistik, Ökonometrie. Begrüsst werden zudem Erfahrungen bei der statistischen Auswertung von aus Datenbanken gewonnenen Unternehmens- und Finanzmarktdaten

                              

Department: Division of Biosciences
Duration: 2+ y       
Workload: 100%
Duties: Duties and responsibilities of the post holder include but are not limited to: undertake research under supervision as a member of the Secrier lab, design, develop and refine computational/statistical methods to analyse and integrate multi-omics data in the context of cancer, carry out analyses, critical evaluations, and interpretations using methodologies and other techniques relevant to the project
Minimum Requirements: The successful candidate must have a PhD (or be studying towards it) in computational biology, bioinformatics, statistics, computer science, mathematics or similar area. Fluency in R, Python, Perl, C++ or other programming language, good knowledge of statistics, evidence of a publication record in good quality peer-reviewed journals are among Essential Criteria

                              

Duration: 2+ y
Duties: The person appointed will be responsible for the computational analyses of large-scale epigenomic and transcriptomic datasets, including: 1) developing methods and pipelines to analyze CutnRun and DAP-seq data sets, and 2) integrating, comparing, mining, and visualizing “omic” data sets. The position involves the development and the implementation of custom analyses in collaboration with wet-lab scientists
Minimum Requirements: PhD degree in Bioinformatics, Computer Science, Mathematics, or related fields. Solid skillset and experience in bioinformatics: Excellent knowledge of R and biostatistics. Experience and proven track record in handling NGS datasets and developing analysis pipelines. Outstanding interpersonal and communication skills are essential
Preferred Requirements: Experience with Unix-based environment and high-performance computing cluster environment is not required, but would be considered an advantage. Experience in motif discovery is not required, but would be considered an advantage

                              

Department: Center for Biosustainability
Duration: 2 y
Duties: Integrate predictive models (mechanistic and AI-based) and bioinformatics databases into a computational back-end that informs the design of DNA modifications on the front-end. Collaborate with partners in integrating in-house developed tools. Benchmark and validate existing databases and methods. Participate in end-user requirement gathering and usability testing related to the design components of the platform. Participate in the dissemination of research results and scientific research software via publications in peer reviewed journals, presentations at scientific conferences, and public outreach activities
Minimum Requirements: You hold a PhD degree in Bioinformatics, Computational Biology, Bioengineering or related field. You have an interdisciplinary mindset and the ability to grasp complex concepts from diverse fields and do not shy away from asking questions to experts if you don’t. You command a programming language such as Python or R and know your way around the command line. You write high-quality, structured and maintainable code. Experience with Bioinformatics pipelines and workflow management systems is a plus (e.g. Snakemake, Nextflow, and similar) Experience with modern software development practices, including test-driven development and continuous integration is a plus. Experience with Docker/Singularity containers is a plus. Experience in Javascript and front-end development is a plus