Duties: The successful candidate will develop epidemiological models to understand the risks and benefits of introducing maternal respiratory syncytial virus (RSV) vaccination in low- and middle-income countries. A new maternal RSV vaccine has been developed that has the potential to save the lives of infants from dying from RSV, but which may be potentially linked to a higher risk of preterm birth. This work will inform guidance from WHO about whether to use the vaccine
Requirements: A postgraduate degree, ideally a doctoral degree, in a relevant topic; Relevant experience in mathematical modelling, health economics, epidemiology, statistics or another relevant discipline with a strong quantitative component; Experience in a relevant computer programming language, preferably R

Duties: As a Lecturer, you would carry out research, teaching, and management within the school, faculty and university and contribute to academic leadership in a field represented by one of the research groups of the department of Pure Mathematics
Requirements: You must have a PhD in Mathematics or a relevant discipline

Duties: undertaking research to define a testing methodology for the assessment of AET systems; developing a software framework for the assessment of AET systems; communicating the outputs to key stakeholders You will be able to bring to the role: experience of robust software development including strong programming skills in Python or C++; knowledge of biometric technologies, computer imaging and statistical analysis methodologies; proven time management skills and the ability to work independently and creatively to resolve problems
Requirements: A PhD, or close to completion, in image processing, biometrics, security, machine learning or a related discipline, or equivalent qualification/experience; Knowledge of methodologies and advanced algorithms in mathematics, computing and statistics/machine learnin

Duties: The School of Mathematical Sciences at Lancaster University is seeking to appoint a new professorial position alongside a new £15M investment in “MARS: Mathematics for AI in Real-world Systems”. The post will take a prominent strategic lead within MARS, shaping the formation of a new 10FTE unit within the School, which is supported by an initial 5 years of pump-priming funding. This new unit will conduct research and teaching at the interface of mathematical modelling and AI, with a focus on methodological mathematics supporting application areas including Health, Environmental Science, Manufacturing Engineering, and Cybersecurity
Requirements: Internationally recognised research achievements in mathematics and/or AI methodology connected with real-world challenges; Record of attracting substantial external research funding commensurate with field of academic study; Track-record of contributing to, and capacity to lead, key activities within the section, school and wider university, including working co-operatively and flexibly with colleagues

Duties: Implement and integrate derivatives pricing models in the existing in-house FX/Commodity/Credit C++ derivatives pricing libraries; Improve accuracy and performance of existing market data models; Improve accuracy and performance of existing pricing engines; Document and communicate findings to internal and external clients as necessary
Requirements: Prior experience on FX derivative pricing models; Masters degree in a technical discipline (mathematics, finance, physics, engineering, or similar field); Proven C++ experience; Demonstrated knowledge of numerical techniques employed in derivatives pricing models (Monte Carlo, PDE methods often used in calibration and pricing, analytical); History of team collaboration and comfort in a multi-developer environment with a facility for interacting with quants, IT groups and product managers

Duties: Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code; Back test and implement trading models and signals in a live trading environment; Use unconventional data sources to drive innovation; Conduct research and statistical analysis to build and refine monetization systems for trading signals
Requirements: Advanced training in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field (Bachelors, Masters, PhD degree); Strong knowledge of probability and statistics (e.g. machine learning, time-series analysis, pattern recognition, NLP); Background working in a data driven research environment

Duties: Lead the development of novel algorithms for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records and genomic data; Lead scientific collaborations with Illumina’s academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims; Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics' community
Requirements: MD or PhD in computer science, genetics, computational biology, or related field; Expert in deep learning, statistics, proteinomics and/or genomics; Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences; Be willing to work in a fast paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines

Duties: We are seeking to recruit several researchers with well-developed quantitative data analysis skills to support a series of epidemiological projects focussed on better understanding inequalities in cancer outcomes in the UK. Activities will include: data preparation, statistical/epidemiological analysis, interpretation and dissemination
Requirements: For appointment at associate level, a PhD in epidemiology, biostatistics, public health, data science or a related field with a strong quantitative component is required

Duties: We are looking to appoint a postdoctoral research assistant to work on a project funded by a UKRI Medical Research Council Core Platform grant for the Platform “CHECKPOINT: Finding immune and metabolic pathways to severe mental illness”. The project aims to find causal pathways by which immune and metabolic factors lead to severe mental illness, as a basis for new, personalised therapeutics that are precisely matched to the patients most likely to benefit. The post is based in the Big Data Institute, University of Oxford
Requirements: You will have or be close to the completion of a PhD in statistical/computational genomics with relevant experience. You will have excellent communication skills, including the ability to independently write for publication, present research proposals and results, and represent the research network at meetings. Specialist knowledge in the discipline and the ability to manage your own academic research is essential. Knowledge of or an interest in psychiatric genomics or the biology of immune and metabolic pathways would be desirable

Duties: In this role your duties will include provide statistical analysis plans for studies and handle day-to-day planning to keep the work on track and efficient and the performance of integrative analysis of single-cell RNA and ATAC seq data. To support the research endeavours effectively, you will develop or customize analytical tools and resources in collaboration with other team members and attend to scientific seminars, meetings and training as appropriate
Requirements: It is essential that you hold a degree in a life science or computational subject, together with demonstrable experience and ability in biostatistics or bioinformatics. You will also have previous experience in a laboratory research setting, and use of techniques including but not limited to PCR, qPCR, gel electrophoresis, western blots, and cell culture. The ability to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule is also essential in this role

Duties: Developing computational methods to model cell fate decisions in hepatocytes which regulate tissue regeneration; Pioneering novel technology platforms for biological validation using bioengineered liver tissue and composite co-culture systems; Combining cell free DNA technologies and machine learning algorithms to detect liver specific somatic mutation and epigenetic signatures during liver regeneration
Requirements: PhD (or in the final stages of PhD submission) in bioinformatics, computational biology, bioengineering, regenerative medicine or related field; Good knowledge and extensive experience in core laboratory skills such as molecular biology, in vitro mammalian cell culture and microscopy including immunohistochemistry

Duties: Project leadership of assigned studies; Assign tasks to team members and provide oversight of their work; Work cross-functionally with other clinical team members; Negotiate timelines and scope of work; Work and make decisions independently; Manipulation of data to produce analysis datasets, including SDTM and ADaM datasets; Production and review of Tables, Figures and Listings (TFLs) according to statistical analysis plans; Creation and review of programming specifications and, if required, annotation of case report forms (CRFs) to CDISC standards
Requirements: Bsc, MSc or PhD in mathematics, science or IT related discipline; Experience working within a clinical trials environment; Substantial experience working with SAS; CDISC (SDTM and ADaM) experience; Previous experience of leading teams is preferred but not essential; Excellent written and verbal communication skills

Duties: Manage a team of Statistical Programming (SP) staff, including hiring, training, and supervising department members. Develop, recommend, and implement standard procedures, measures of performance, and training programs. Organize and allocate resources according to multi-project requirements and deadlines. Serve as lead statistical programmer on projects
Requirements: Master's Degree Computer science or related field and 5 years relevant experience including 1 year in a leadership capacity Req Or; Bachelor's Degree Computer science or related field and 6 years relevant experience including 1 year in a leadership capacity Req; Equivalent combination of education, training and experience in lieu of degree Req; Advanced knowledge of SAS and technical database skills

Duties: As a member of the Trading Research Quant team you will work with various asset classes, contributing to decision making and trading strategies. Trade Cost Analysis (TCA), Broker-Algo selecting tools, crowd-sourcing, alpha and risk modeling, market impact and optimizations are all part of this process
Requirements: MS in science/math/operations research/quant finance; Proven knowledge of calculus and stochastic processes; 4+ years* of financial industry experience in FX, Bonds, Equities or Futures; Experience building advanced statistical methods; Numerical programming experience in Python

Duties: Here you find a list of all institutions (universities and companies) with direct links to their jobs site. This is to our knowledge the most comprehensive global list you will find. Additionally, you will find many jobs that are currently not advertised at www.acad.jobs or elsewise. This is useful, if you definitely want to work in a particular country
Requirements: If you are working in an institution that wants to be listed and if you are in charge, please contact us. Please contact us if a link is broken

Duties: Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, and Robotics; As an Amazon Scholar, your responsibilities may include: Advising business leaders on strategic plans; Diving deep to solve a specific technical problem in an organization’s roadmap, and; Advising junior researchers on methods
Requirements: PhD in a relevant field or related discipline; 7+ years of relevant work or academic experience; Experience leading technical research projects with multiple stakeholders; Current affiliation with an academic or research institution

Duties: Checking calculations for actuarial valuations or other actuarial consultancy advice; Checking/drafting reports to communicate results to clients; Assisting junior members of staff and allocating workflows; Supporting managers and partners
Requirements: Three years’ experience in pensions consultancy; Making good progress through the actuarial exams

Duties: The role is based in our new ground-breaking Discovery Centre (DISC) located on the Cambridge Biomedical Campus. This newly purpose-built building brings together the company’s research and development activity in a pioneering strategic R&D centre and global corporate headquarters. The building has been designed with open architecture reflecting AstraZeneca’s approach to research. Open laboratories and glass walls will enable new ways of working across teams, whilst a central courtyard will put science on full display. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and...
Requirements: Ph. D in bioinformatics or a related field; with relevant working experience; Experience in Illumina workflows, raw data analysis and NGS data integration and interpretation; Ability to apply data analysis methods efficiently to large data sets; Experience with programming scientific applications; Ability to explore novel bioinformatic approaches to improve sensitivity and specificity of NGS based workflows

Duties: Participate in R&D projects across multiple sites for the design, development and validation of new sequencing products; Support the bioinformatics function within a product development team; Contribute to the design and development of a standardized automated testing infrastructure; Analyze, integrate, model and interpret experimental data; Develop, document, and maintain reusable programming code; Communicate and collaborate in cross-functional multi-site teams
Requirements: Masters/PhD in bioinformatics, computer science, data science, engineering, mathematics or equivalent; Strong programming skills and experience with at least one programming languages, such as Python, R, etc; Experience with data analysis and visualization of next-generation sequencing data and large datasets; Familiarity with common bioinformatics pipelines and data formats; Solid understanding of statistical and biological concepts

Duties: We are seeking to recruit a statistical researcher to provide statistical and epidemiological leadership for the team studying the Benefits and Risks of Cancer Treatments. The post-holder will play a key role in developing the strategic direction of future research carried out by the team and in securing funding for it. The successful candidate will work as part of a team that includes statisticians, epidemiologists, oncologists, a surgeon, a radiotherapy physicist, and DPhil students
Requirements: To be considered you will hold a PhD in statistics or a closely related field. You will have experience of managing research projects and staff, with an established international publication record, and success in leading research grants. Strong programming skills in a statistical language, such as R, Stata, Python or C/C++, etc are essential for this post. Experience of leading research programmes, including setting the strategic direction would be desirable

Duties: We are seeking a researcher with expertise in the collection and application of acoustic methods to monitor biodiversity and ecological function intact and human-modified landscapes in the context of nature recovery. We are particularly interested in approaches that go beyond species detection to yield meaningful information on ecological health. The researcher will be working as part of a large interdisciplinary team in the Leverhulme Centre for Nature Recovery that spans different University departments and research programmes, whose goal is to determine how to best monitor the effectiveness of nature recovery and nature-based solutions in the UK and the tropics
Requirements: The successful candidate must hold, or be close to completion, of a PhD in a relevant subject area, or have equivalent experience, and possess experience analysing ecological acoustic datasets. The projects you will be working on are interdisciplinary and so the ability to work collaboratively across disciplinary boundaries is essential

Duties: The successful applicant will be responsible for research in accordance with the agreed objectives of the current NIHR Southampton Biomedical Research Centre, focussing on the development of new approaches to primary fracture prevention in older age under the supervision of Dr Elizabeth Curtis, Professor Kate Ward and Professor Nicholas Harvey. They will also work on the setup of a hospital-based registry and research platform for patients referred to the Osteoporosis Centre for bone density scanning. The successful applicant will undertake leadership, management and engagement activities suitable to the role
Requirements: Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given

Duties: We are seeking a Research Fellow to work on the InflAIM Project, an NIHR funded programme of work that is using novel statistical and AI methods to further the understanding the role of chronic inflammation in the onset and development of multiple long-term conditions (MLTC) throughout the life course
Requirements: The post-holder will have a postgraduate degree, ideally a doctoral degree, in a relevant topic. Relevant experience using complex statistical models for real data analysis and experience analysing large data sets is essential. Further particulars are included in the job description

Duties: Applications are invited for the post of Research Associate; Applied Mathematics within College of Engineering & Physical Sciences
Requirements: We are looking for a highly motivated individual for this postdoctoral research position in the general areas of Bayesian inference and statistical physics. The emphasis of this research will be on employing theoretical and numerical methods from Bayesian statistics and statistical physics to study mode decomposition in optical communication and imaging. You should have excellent mathematical and computational skills and have a background in statistical physics and Bayesian inference

Duties: Analyse, integrate, model and interpret experimental data to drive the development of whole-transcriptome and whole-genome clinical tests for oncology in proof-of-concept studies; Contribute to the design and development of a standardized automated validation infrastructure for use within an ISO15189 medical testing laboratory; Develop, document, and maintain reusable bioinformatics analysis code; Work with large data sets to solve complex problems of analytical, computational, or integration-related topics; Support the participation to External Quality Assurance Schemes and inter-laboratory comparison activities; Communicate and collaborate in cross-functional multi-site teams
Requirements: Masters, Ph.D. or equivalent in Bioinformatics, Computational Biology or related field; Proficient in bioinformatic and analysis tools and packages, especially for Next Generation Sequencing (NGS) data; Experience in cancer genomics is preferred; Experience in working in an ISO-accredited laboratory is preferred; Proficient in either R or Python, comfortable with shell scripting and HPC, familiarity with git