Duties: Designing, developing, and maintaining applications to enable capture and analysis of data to accelerate discovery and enable decision making that drives biotherapeutic projects across a broad range of disease areas. This includes processing and analysis of NexGen Sequencing data as well as assay data and the results of predictive AI models; Working within a team of laboratory scientists, data scientists, and internal and external software developers to rapidly specify, implement, and deploy fit-to-purpose software tools; Manage developer project teams to create useful tools in an agile environment
Requirements: Ph.D. and postdoctoral research with 4-8 years of additional industry or academic experience in a related area such as computational biochemistry, bioinformatics, computer science, or a related field; Demonstrated track record of successful implementation of web-based tools for scientific data management and analysis

Duties: Collaborating with confidential X Project team to applying AI to their project's mission; Understanding the project’s challenges; Suggesting a number of ways in which AI can apply to those challenges; Prototyping solutions; Work closely with team members to implement solutions; Learning Moonshot thinking, attending colloquium and tech talks; Engaging with the X Internship community during the program
Requirements: Must be enrolled in a Phd program focused in a STEM field such as Computer Science, Physics, Chemistry, Neuroscience or Mathematics/Statistics; Strong interest and familiarity with machine learning; Completed coursework in calculus, linear algebra, and probability, or their equivalent; Experience with one or more general purpose programming languages, including but not limited to: Python, Java, C/C++; Experience with machine learning systems, algorithms or applications such as: deep learning, computer vision, robotics, optimization, on-device learning, nlp, audio/speech recognition, signal processing or time-series analysis

Duties: Build conceptual and logical data architecture design; Develop, monitor, and manage data systems across our platform; Process disparate data sources and form a high integrity, high quality, clean data asset; Contribute to batch pipelines, data modeling, and data mart solutions; Work on collaborative project teams working to implement robust data collection and processing pipelines; Work across departments to understand data patterns
Requirements: Solid computational and technical proficiency; Bachelor's Degree in computer science or a related discipline; Working proficiency in at least one programming language such as R, Python, or SQL; Demonstrated 6 month work experience through part time employment or other endeavors including internships; Commitment to data integrity; Ability to take graduate courses concurrent with a full-time work schedule

Duties: Focus on the development of cloud computing infrastructure, and help build, distribute, scale and optimize these technologies; Designs and implements cloud scale distributed data-focused Data Analytics Platform, services and frameworks including solutions to address high-volume and complex data collection, processing, transformation and reporting for analytical purposes; Writes code and unit tests, works on API specs, automation, and conducts code reviews and testing; Develop scalable, robust, and highly available services related to our data platform; Implement new features and optimize existing ones to drive maximum performance; Owns technical aspects of software development and identifies opportunities to adopt innovative technologies
Requirements: Bachelor’s degree; 5 years of meaningful experience; A strong level of curiosity paired with the ability to get things done; Strong algorithms, data structures, and coding background; Experience with software engineering standard methodologies (e.g. unit testing, code reviews, design document); Java or Scala or other programming experience; Strong in SQL

Duties: As part of an Agile Team, the Junior Data Scientist helps to design, develop, and maintains software applications using a tailored SAFe Agile DevSecOps Scrum process. This role implements data auditing, reporting, and security through the use of existing tools and developing new ones. Familiarization with a broad range of data analysis tools and techniques is required. This role assists in complex projects requiring data analysis, interpretation, and communication to support decision-makers and customers
Requirements: Candidate must have an active TS/SCI with polygraph; Candidate must possess a Bachelor’s degree and have three (3) years of prior relevant experience. A Masters degree with less than two (2) years of prior relevant experience will be considered as well; Additional years of experience may be considered in lieu of education

Duties: Explain technical actuarial and/or pension topics to new business VP in New Jersey and onboarding Director in Texas who will communicate to institutional clients or clients’ consultants/advisors; Be viewed as the defined benefit pension plan expert within the company; Assess pension risks, calculate premiums, and customized contract terms; Guide onboarding and lead cross function collaboration; Implement governance, controls, process, and procedures; Review actuarial calculations and actuarial methodology in a controlled environment; Execute actuarial model risk management framework including model development and testing; Apply technical expertise to support Operations and Valuation teams and ensure successful implementation of new business leading to accurate and reliable financial reporting
Requirements: Bachelors degree in Actuarial Science, Mathematics, Statistics, or related field; Defined benefit pension plan experience; Ability to interpret and implement complex pension plan provisions; At least one of Pricing, Valuation, Actuarial Modeling, or Pension Administration experience; Pension benefit calculation modeling, testing, or production experience; Project management experience; Self-Starter who is comfortable dealing with both complexity and ambiguity, with ability to explore multiple solutions to a problem; Awareness of governance best practice and controls required

Duties: The Department of Decision Sciences at HEC Montréal offers a stimulating environment with 30 professors and 6 full-time lecturers. Department faculty carry out research in Data Science (including machine learning and statistics), Financial Engineering, and Optimization. They are members of internationally recognized research centers such as Mila - Quebec Artificial Intelligence Institute, CIRRELT (Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation), CRM (Centre de Recherches Mathématiques), and GERAD (Group for Research in Decision Analysis). They also contribute to the mission of IVADO (Institute for Data-driven Value Creation) and benefit from its various funding and transfer opportunities. Depending on their research area, the chosen candidate may be eligible to receive a Canada CIFAR AI Chair in machine learning
Requirements: Have completed or nearly completed a Ph. D. in Computer Science, Computer or Electrical Engineering, Statistics or Mathematics, or in a field related to decision science; Have a strong publication record in their field of interest; Show excellent potential in research, an aptitude to supervise students at the MSc and PhD levels, and a desire to engage in one of our research groups; Show excellent potential in teaching with demonstrated communication skills in either French or in English and a clear interest in becoming competent in both

Duties: Perform mechanism based PKPD and population PK and PK/PD analyses, clinical trial simulations, translational modeling (preclinical; clinical) and other model-based analyses independently on a regular basis for multiple products; Present analysis results and strategic program planning to all levels of organization as needed for program team objectives with limited oversight in collaboration with related functions; Represent M&S as the M&S lead on cross-functional drug development teams, proactively advocating model-based approaches to address development challenges; Use of state-of-the-art M&S methodologies impacts decision making at program milestones based on quantitative principles. Execute in close collaboration with Biostats, Clin Pharm and other quantitative disciplines
Requirements: PhD, in Pharmaceutical sciences, Pharmacometrics, mathematics, statistics, or other quantitative discipline with an emphasis on Pharmacometrics and PKPD modeling preferred; Typically requires a PhD and 10 years of experience or the equivalent combination of education and experience, in Pharmaceutical sciences, Pharmacometrics, Clinical pharmacology, mathematics, statistics, or other quantitative discipline with an emphasis on Pharmacometrics and PKPD modeling preferred; Management experience

Duties: Execute computational neuroscience experiments; Interpret results and prepare presentations or white papers describing those results to technical and non-technical audiences; Interact with collaborator teams to learn their requirements, implement those requirements in experiments; Learn about the intellectual property/technology transfer process
Requirements: Must be enrolled in a Phd program focused in a STEM field such as Computer Science, Physics, Chemistry, Neuroscience or Mathematics/Statistics; Completed coursework in calculus, linear algebra, and probability, or their equivalent; Completed coursework in neuroscience, biological psychology, or similar; Experience with Python, especially TensorFlow; Experience with machine learning systems, algorithms or applications such as: deep learning, computer vision, robotics, optimization, on-device learning, nlp, audio/speech recognition, signal processing or time-series analysis

Duties: Lead coursework by modeling best instructional practices, providing ongoing written and verbal feedback, supporting and grading assignments, and incorporating technology; Conduct ongoing observation and feedback sessions at program participants’ “host schools” (field experience sites); Evaluate participant performance through coaching visits to classrooms; Maintain appropriate data on all program participants; Contribute to the Johns Hopkins School of Education and the Urban Teachers professional communities, including posting work, uploading videos of course instruction, attending program meetings and required program professional development, and teaming with others in support of participants; Provide ongoing feedback on the quality of curriculum and programmatic support
Requirements: A graduate degree (M.A. or higher) related to mathematics education; PK-12 instructional experience in mathematics education; experience in urban public education as a teacher, staff developer, and/or administrator; extensive knowledge of the content and pedagogical content knowledge in the relevant discipline; skills in group facilitation and mentoring; experience with internship programs

Duties: We are looking for candidates who can broaden our existing activities in analysis, geometry, number theory, operator algebras, and topology. All applications are welcome. In particular, candidates in areas such as geometric group theory, geometric representation theory, and non-commutative geometry are encouraged to apply
Requirements: Applicants for a tenure-track assistant professorship must have an academic standing showing internationally competitive research, have an internationally recognized potential for outstanding research achievements, and have strong teaching credentials

Duties: The postdoc researcher will be a member of the NorwAI project team. The task of the postdoc is to develop frameworks and scalable techniques for supporting streaming data analysis. The actual research problems to work on will depend on the candidate’s background, and research from either an algorithmic, machine learning, or information retrieval perspective is of interest
Requirements: You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD; You must have relevant research background in data mining, databases, algorithms, information retrieval, or machine learning; Publications in top venue scientific conferences or journals

Duties: The School of Medicine, Dentistry and Biomedical Sciences is currently seeking to appoint an exceptional candidate to the post of Lecturer in Bioinformatics to undertake research in the Patrick G Johnston Centre for Cancer Research and the School of Medicine, Dentistry and Biomedical Sciences at Queen’s University Belfast (QUB). The successful candidate will develop a bioinformatics research theme in line with the School/Centre’s research strategies, teach at undergraduate and postgraduate level and contribute to the School’s administration/outreach activity
Requirements: Primary or higher degree in a life sciences, mathematics, programming or a cognate subject; PhD in a biomedical science, biology, or a related discipline to bioinformatics; A minimum of three years’ recent experience in discipline(s) related to bioinformatics; Experience of use of the R statistical environment; python or similar higher-level scripting/programming techniques; Recent, relevant publications in peer reviewed/refereed journals that are high quality and are commensurate with stage of career; Experience of working in collaborative research projects

Duties: Develop new mathematical methods for sensitivity analysis, Implement computationally efficient numerical methods suitable for large-scale flow simulation and Validate the approach by designing novel structured surfaces for wall-bounded flows. In addition, you will take part in collaborative work with the project partners, take part in and contribute to the research group's activities, publish new findings in peer-reviewed literature and disseminate results at national and international conferences. There will also be an opportunity to gain experience in teaching and student supervision
Requirements: To be successful, you must have a PhD or equivalent professional qualification in Fluid Mechanics, Applied Maths, Computational Sciences or a related subject. In addition, you should demonstrate expertise in developing mathematical/computational methods for analysis, modelling or simulation of fluid flows. It is essential you have good analytical skills. Proficiency in computing and/or numerical simulation of fluid flows is highly desirable

Duties: The lab of Jeroen Raes (VIB, KU Leuven) is looking for a postdoctoral researcher in the computational analysis of microbiome data, with a particular emphasis on human-associated microbial communities in health and disease. Projects will focus on: (i) bioinformatics/statistics method development for joint host and microbiota data analysis, multi-omics and clinical data integration and/or; (ii) their application to large scale datasets generated within the Flemish Gut Flora project cohort (n>5000), in a wide range of disease cohorts as well as in international projects (e.g FP7 MetaCardis, H2020 AD-Gut)
Requirements: PhD in bioinformatics, computational biology, datamining, biostatistics, population and/or statistical genetics, human microbiota, numerical/microbial ecology or equivalent; Good programming skills (perl/python/ruby/java/C++ etc, SQL, R), proficiency in Unix/Linux and cluster experience; A strong track record in omics data analysis (e.g. (meta)genomics, transcriptomics, proteomics, metabolomics, epigenomics, genotyping data) is a plus; Experience in clinical datamining/machine learning, biomarker detection is a plus

Duties: Act as a cybersecurity analytics subject matter expert to teams across EP&S and Pfizer and leverage analytic capabilities to help solve specific business problems; Establish and enhance cybersecurity analytics reporting capabilities for use by GIS to detect and respond to security-related events; Participate in recurring meetings that review emerging threats and identify opportunities to leverage advanced analytic capabilities to improve detection across the organization; Proactively identify emerging data sources that improve detection capabilities and work with the cybersecurity analytics data management team to enable data collection; Assemble data from multiple security tools for deeper threat insights using advanced analytics; Prioritize future data collection requirements based on the value of detecting a particular situation, availability of required data source(s) and related data retention costs, and the ability eliminate false positive detections
Requirements: BS in Computer Science, Mathematics, Physics or Chemistry or related discipline; MS in Data Science or Quantitative Analysis preferred; Superior analytical and creative problem-solving skills; Demonstrated successes in analysis, conclusions, and improvement; Flexible to changing priorities and comfortable in a fast-passed dynamic environment; Strong problem-solving abilities with an analytic and qualitative eye for reasoning under pressure; Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision

Duties: You will be involved in the analysis and data management of single-cell (sc)RNAseq and scATACseq data from various ongoing academic and industrial projects, including the VIB Grand Challenge project POINTILLISM (https://vib.be/grand-challenges-program/personalized-immunotherapy-cancer-patients). You will also be developing your own project(s) on the interpretation and analyses of spatial multi-omics (transcriptomics, proteomics and metabolomics) datasets. Good communication skills and a collaborative spirit will be required to integrate our research team, which includes a technical staff, graduate and PhD students and postdocs
Requirements: PhD with a topic in one of the following areas: statistics, bioinformatics or computational biology in a field of (cancer) immunology, molecular biology or similar; A broad bioinformatics experience with a good working knowledge in genomics and transcriptomics/pathway biology/(cancer) immunology and deep scientific expertise in next generation sequencing technologies and (statistical) data analysis. Experience in single-cell sequencing and an interest in spatial transcriptomics and proteomics data analysis is mandatory; Working proficiency in popular programming languages such as R or Python; Fluency in analysis of large datasets and Linux-based high-performance computing environments; A proven and successful publication track record in this field

Department: Medical Physics and Biomedical Engineering - Photoacoustic Imaging Group
Workload: 100%
Duties: Applications are invited for a research fellow position to work on the development of a near infrared and shortwave infrared fluorescence imaging scanner applied to cancer. The scanner will be used to image antibody-conjugated dyes to improve the accuracy of fluorescence-guided surgery of paediatric solid cancer. The goal is to translate the findings to a human clinical trial and the job maybe extended accordingly subject to further funding. The scanner will be combined with an all-optical photoacoustic imaging scanner to create a dual modality intraoperative imaging system to better detect cancer cells that remain during surgical removal and to improve the visualisation of vital organs and vessels
Requirements: An engineer or physicist with strong applied optical engineering skills is sought. Candidates must have a PhD in a relevant subject or equivalent qualifications and/or work experience. Practical experience in the development of fluorescence spectroscopy or fluorescence imaging systems for biomedical applications is essential. The project is funded by a Wellcome Trust Innovator Award (PI: Mr Stefano Giuliani) and it will be carried out in collaboration with research groups at the UCL Great Ormond Street (GOS) Institute of Child Health, the Institute of Cancer Research (Marsden), and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) at UCL; Therefore, enthusiasm in the project, good inter-personal skills and experience of interdisciplinary working are essential. Knowledge of, or a wider interest in, Biomedical optics or Photoacoustics, is advantageous but not essential

Department: Division of Psychology and Language Science
Workload: 100%
Duties: In this new study, we will develop a novel preventative intervention, delivered in the school setting, which integrates targeted training in emotional processing with group interpersonal therapy (IPT) that addresses young people’s social relationships. Given the rapid rise in mental health difficulties that occurs in early to mid-adolescence, the study focuses on ages 13-14 years (school years 8 and 9), which represent an ideal phase for effective prevention. This new hybrid intervention will be created through an interdisciplinary partnership between young people, teachers, psychologists, sociologists, parents, clinicians, statisticians, digital health experts and performing artists
Requirements: We are looking for an individual with excellent skills in multivariate statistics and scientific writing. The ideal candidate will also have experience in conducting research with young people and have experience in longitudinal mental health/social relationships research and/or intervention studies. Experience in social network analyses would be an advantage but is not an absolute requirement for the job. The applicant also needs to possess good interpersonal skills for communicating with the wider project team

Department: Institute of Ophthalmology
Workload: 100%
Duties: This exciting position is based at the Institute of Ophthalmology, a world leading research institute focusing on vision and diseases of the eye, working with UCL’s Research Software Development Group in the Centre for Advanced Research Computing (ARC), a large and innovative group of research software engineers. You will lead on the further development of software tools and models of the metabolism of the back of the eye, with application to understanding (and treating) the effects of aging on vision. This will include rapidly assimilating knowledge of the underlying research disciplines, contributing to publications and future grant applications, and crafting sustainable, reusable software
Requirements: A strong candidate will hold a PhD or equivalent and have substantial experience in the development and coding of computational models, ideally in the context of biological systems. The existing code base to be developed is in Matlab and experience of Matlab is beneficial. It is likely that, moving forward, code will be developed in Julia. Experience of Python and/or Julia would thus be an advantage as would understanding of any relevant area of biology or physics. This would include reaction kinetics, thermodynamics, diffusion, metabolism and metabolic networks, etc. It is also expected that the post-holder will have a solid foundation in mathematics. Whilst an appreciation of the eye and vision would be helpful it is by no means required

Department: Institute of Health Informatics
Workload: 100%
Duties: Conducting analysis mainly using population level data from the BHF Data Science Centre Covid Impact project led through HDR-UK but also working with other Electronic Health Record data (Primary care data including The Health Improvement Network (THIN) and Clinical Practice Research Data (CPRD), Hospital Even Statistics (HES) and Office for National Statistics (ONS) from the CALIBER resource); Contributing as a author on a number of high impact peer-reviewed research publications in general readership clinical, genetic or science journals; Preparing for weekly in-house meetings, and national and international conferences; Representing the group at fortnightly BHF Data Science Consortium meetings and other relevant schedule calls; Contributing to the development of grant applications and manuscripts in collaboration with others in the Institute
Requirements: You have the knowledge of epidemiological and statistical methods such as Cox Proportional hazards models, trial emulation, Mendelian randomization and a good understanding of the complexities of manipulating large datatsets; You have a MSc in statistics/epidemiology/computer science/health data science/other relevant discipline or a similar level of experience; You have excellent skills in at least one statistical software package (e.g. R, STATA)

Department: Chemical Engineering
Duties: Develop a programme of original research and produce publications, as well as other research outputs, in the broad area of manufacturing related engineering; Deliver multidisciplinary research and teaching activities that support UCL priorities; Secure research grant funding in accordance with UCL Financial Regulations and the conditions of funding bodies; Recruit, manage and lead researchers; Ensure that research outputs are recorded, analysed and written up in a timely fashion and to deadlines; Report to funding bodies and others as needed; Submit papers to relevant journals and present at relevant conferences; Lead and assist with curriculum development, including learning materials and schemes of work; Keep accurate student records on progress, achievement and attendance; Teach at undergraduate and postgraduate level, including laboratory supervision, lectures and tutorials
Requirements: Lead on the development of research promoting a holistic approach to manufacturing engineering related to functional materials/chemicals/pharmaceuticals manufacturing and/or high throughput materials chemistry, and/or data science/applied statistics/machine learning/automation/digital twins/model-based design of experiments, and/or process systems engineering; Carry out and publish high-quality world-class research which complements the existing departmental and Faculty activities, and secure research grant funding to support your research programme; Support research staff and PhD students; Contribute to teaching existing or new taught modules in the areas relevant to the post

Workload: 70%
Duties: Creative, independent an high-quality aR&D at the crooss section between numerical simulation, cloud computing and ANN technoloogy; Development of ANNs to (partially) take oover the functionality of advanced numerical simulation software; Develop and apply Invertible Neural Networks (INNs) to solve forward and inverse problems correlating numerically predicted physical properties of porous media to material parameters; Establish cloud-computing-based workflow to allow users to train their own ANNs/INNs by creating simulation data online; Develop solutions for software based integration of numerical simulation tools and ANN technoloogy into a high yield cloud platform; Interpret experimental results and simulated results regarding physical properties of porous media
Requirements: Master Degree in Engineering Sciences, Software Development, Mathematics or Physics; Knowledge about and application experience concerning Artificial Intelligence Software is a must; Knowledge about and application experience concerning Numerical Simulation Software is a bonus, where knowledge of OpenFOAM is counted as big bonus; Knowledge about and application experience concerning Cloud Technology is a bonus; Advanced skills in software development are a big bonus; Drive to quickly move R&D results to application; High committment towards excellency; 100% fluency in written and oral English is a must, skills in German are a bonus; Good in presenting; Willingness to spend 12-14 weeks (= one lecture semester) at partner University (UiT Arctic University of Norway), if need be; Duties: Self-efficient, high-quality R&D in the cited fields; Regular presentation of advances to development partners from industry and colleagues in academia, at scientific conferences and regular (onli...

Duties: The successful candidate is expected to assume a leading role in defining, acquiring, managing, and scientifically contributing to projects in the areas covered by the SerVal group, and more specifically IoT and AI-based Decision Support (DSS) systems, whose underlying theories and techniques span from multi-objective optimization and multi-attribute decision making, uncertainty modelling, Machine Learning (ML), and input data span from real-time IoT sensor data, expert knowledge and expectation. The candidate will be involved in the development of innovative DSS as part of ongoing research collaborations involving various companies
Requirements: PhD in Computer Science or equivalent with at least 3 years of experience after the thesis; At least 3 years of postdoctoral research experience in a relevant research area; Familiar with at least one area mentioned: Smart grid (incl., optimization problems in renewable energy systems), Industry 4.0; Knowledgeable on multi-criteria decision making/recommendation systems. Being familiar with IoT technologies (blockchain, web service interoperability…) is a plus, as well as the mastering of uncertainty modelling/theories; Excellent publication record in top-tier conferences and journals; Track record in carrying a leading role in research project acquisition at the National, EU and International levels; An experience in or with industry is required; Fluent written and verbal communication skills in English are mandatory

Workload: 50-100%
Duties: The Nash Lab invites applications for a research assistant position in the area of data science applied to molecular bioengineering. The successful candidate will be responsible for the development of software tools and bioinformatic workflows to assist in the analysis, visualization and interpretation of large-scale DNA sequencing and protein structural data to unveil sequence-structure-function relationships in complex artificial proteins
Requirements: Candidates should have a strong technical background in scientific computing, data science, or analysis of big data with a completed BSc or MSc degree (or equivalent) in a relevant field. The position will suit someone with an interest in software engineering, big data, and statistical learning. Experience and knowledge of biological systems or protein engineering methodology is a plus. Proficiency in written and spoken English is required. We encourage applications from curious, driven and hard-working personalities with strong social skills and team spirit