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AstraZeneca; Bengaluru, India

     Published: June 20, 2024   15:46

Duties: Lead Statistical programming deliverables for regulatory submissions, including specification and delivery of datasets, outputs and response to regulatory questions; commercialisation and reimbursements; Lead delivery of the Clinical Study Report (CSR), Study Data Tabulation Model (SDTM)/Analysis Data Model (ADaM) databases and Tables, Figures and Listings (TFL) outputs through both internal and external delivery models, following applicable data standards and regulations; Lead Statistical programming contribution to Development Safety Update Reports (DSUR), Periodic Benefit-Risk Evaluation Report (PBRER), Investigators brochures (IB)
Requirements: Degree in Mathematics (i.e., Applied Math, Engineering, etc.), Computer Science, Statistics, Life Sciences or similar area; Extensive experience in clinical drug development or healthcare; Advanced SAS Programming, CDISC standards knowledge and industry best practices

Cytel Inc.; Germany

     Published: June 20, 2024   15:41

Duties: Providing significant technical expertise for statistical programming in all phases of programming support, developing automated reports and preparation of submission data standard packages; Supporting statistical programming activities for multiple and/or large/complex drug/vaccine clinical development projects; Development and execution of statistical analysis and reporting deliverables (e.g. safety and efficacy analysis datasets, tables, listings, figures); Design and maintenance of statistical datasets that support multiple stakeholder groups; Serving as key collaborator with statistics and other project stakeholders in ensuring that project plans are executed efficiently with timely and high-quality deliverables; Being able to serve as statistical programming point of contact and knowledge holder through the entire product lifecycle for the assigned protocol if/when called upon; Effective analysis and report programming development and validation utilizing global and TA standards ...
Requirements: Bachelor’s degree or equivalent, preferably in a scientific discipline such as Statistics, Computer Science, Mathematics, etc; Minimum 10 years of SAS programming experience supporting clinical trials in the Pharmaceutical & Biotech industry; 5+ years of study lead experience working with cross functional teams, including leading programming teams; Minimum 3 years of recent experience supporting Oncology studies

Cytel Inc.; Sweden

     Published: June 20, 2024   15:39

Duties: Analysis and statistical programming (tables, figures, lists for clinical study reports and publications); Collaboration with other experts, such as statisticians, project managers, medics, regulatory experts
Requirements: University degree in statistics or mathematical statistics or equivalent; At least 3 years of experience in statistics/programming work within clinical trials (or other medical research); Good knowledge of SAS, and preferably also R programming, but not necessary

Comcast Corporation; United States

     Published: June 20, 2024   15:37

Duties: Lead complex cross-functional data science programs and translate business questions into solvable data science problems, create technical requirements, choose and correctly utilize appropriate methodology and discipline to deliver end-to-end projects; Build road map to define top AI opportunity with potential to create largest business value at scale, build execution plans, and strengthen our partnerships; Build models to optimize marketing efforts that utilize online & offline transactions, product usage, structured & unstructured text and media/behavioral/attitudinal data
Requirements: Master's degree in Computer Science, Engineering, Operations Research or other quantitative field; 8+ years relevant working experience

Cytel Inc.; Poland

     Published: June 20, 2024   15:33

Duties: Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming; Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures ( TLFs); Production and QC/validation programming; Generating complex ad-hoc reports utilizing raw data; Applying strong understanding/experience of Efficacy analysis; Creating and reviewing submission documents and eCRTs
Requirements: Bachelor’s degree in one of the following fields Statistics, Computer Science, Mathematics, etc; At least 8 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above; Study lead experience, preferably juggling multiple projects simultaneously preferred; Strong SAS data manipulation, analysis and reporting skills

Mastercard; Pune, India

     Published: June 20, 2024   15:32

Duties: Develop robust analytical solutions through effective use of Mastercard’s global data assets and software platform; Experience in building, deploying, and maintaining production-level data- driven AI/ML application and data processing workflows or pipelines; Experience with testing frameworks and test-driven development(TDD) practices; Guides others in comprehensive technical analyses and allocates work across teams to ensure the delivery of high quality and effective solutions; Liaises with internal stakeholders (e.g., MA TECH, Data Strategy Management, AI governance) to identify and elaborate on opportunities as they relate to analytical solution development, feasibility, and other technical offerings
Requirements: Expertise in Big Data Technologies: Must have hands-on proficiency in big data frameworks and tools such as Hadoop, Spark, Hive; Technical Proficiency: Strong programming skills in languages such as Python and SQL. Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus; Advanced Analytical Skills: Knowledge in advanced statistical techniques, predictive modeling, machine learning algorithms, GenAI and deep learning frameworks. Familiarity with AI and machine learning platforms such as TensorFlow, PyTorch, or similar

Adobe Inc.; Bucharest, Romania

     Published: June 20, 2024   15:28

Duties: Develop, integrate, test and productize the cloud based ML framework for Firefly models (inference, resource management, monitoring, allocation, and job scheduling); Collaborate with machine learning and data scientists to identify and resolve requirements in order to improve the inference GPU utilization on the ML platform; Monitor machine learning platform performance and modify infrastructure to fit fluid cloud resource needs; Develop high-performance, reliable, testable and maintainable code
Requirements: B.S. or M.S. degree in Computer Science, Engineering or equivalent; Expert in Python; Proficiency in Linux, Docker, Kubernetes

Stanford Health Care; United States

     Published: June 20, 2024   15:27

Duties: Build, deploy and maintain AI and ML enabled care workflows. This includes working with others at SHC to design and develop solutions to the problems undertaken by the Data Science group; Evaluate tools, platforms and strategies used by the Data Science group to manage the lifecycle of building models from healthcare data; Train, develop, and validate researcher-built or vendor provided machine learning algorithms on hospital data with strong quality control checks and bias assessments
Requirements: PhD/MS degree in statistics, informatics or related field; 4+ years of related experience with applied problems

Baylor College of Medicine (BCM); United States

     Published: June 20, 2024   15:26

Duties: Works in a Cancer Prevention & Research Institute of Texas (CPRIT) funded laboratory focused on computational cancer biology; Integrates various modalities of single-cell sequencing data and spatial genomics data to better understand the contribution of spatial multi-cellular environments to cancer formation, progression, and treatment
Requirements: MD or Ph.D. in Basic Science, Health Science, or a related field

Sanofi; Hyderabad, India

     Published: June 20, 2024   15:24

Duties: Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and programming team members within the allocated Global business unit and product; with an objective to develop statistical data outputs; Conduct appropriate post-hoc statistical analyses of clinical trial data
Requirements: Master's degree 2-3 years/B.Sc. 3-6 years of relevant experience required; Advance SAS programming skills, SDTM & ADaM (CDISC)

Mastercard; United States

     Published: June 20, 2024   15:21

Duties: Leading the deployment of machine learning models and associated data flows to production; Contributing to the automation of the model deployment process; Mentoring junior team members; Searching cleaning, aggregating large data sets from Cloudera Hadoop, Azure, Splunk; Application development and maintenance on Linux environments; Performing statistical data analysis
Requirements: Bachelor of Science in Computer Science, Engineering, or Mathematics or similar field; Experience working with Tiger Graph or other graph DB technologies; Programming with Python and/or R languages; Programming within ML Frameworks such as TensorFlow, PyTorch, scikit-learn, and/or Spark/ML; Model deployment with containers such as Kubernetes and/or Docker; Anomaly detection and model/data drift analysis affecting production ML models; Building and maintaining ML production pipelines

City of Hope; United States

     Published: June 20, 2024   15:18

Duties: Develop and implement computational pipelines and innovative bioinformatics strategies for the molecular characterization of tumors from extensive multi-omics datasets; Collaborate with fellow researchers from both academic and industry sectors; Provide training to other lab members; Publish scientific findings in peer-reviewed journals; Deliver presentations at scientific conferences
Requirements: Ph.D. or M.D., Ph.D. in Bioinformatics, cancer genetics, or a related field; Demonstrated expertise in integrating and analyzing large multi-omics datasets; Demonstrated proficiency in developing computational pipelines and databases

Cytel Inc.; South Africa

     Published: June 20, 2024   15:17

Duties: The Senior Statistical Programmer leads the programming activities for a trial, early phase project, indication, or publication activities. Develops and supports statistical programming computer systems that are used in the production of statistical analysis plan (SAP)-planned tables, data listings, and graphs, integrated summaries of safety and efficacy, ad hoc analyses and electronic submission deliverables, such as datasets, data documentation, programs, programming table of contents, and patient profiles. If the programmer is delegated as a lead there may be additional responsibilities for monitoring and meeting assigned program milestones as well as leading a small team of statistical in-house or consultant programmers to accomplish tasks
Requirements: BS or MS degree in Computer Science, Statistics, or related health science field with a minimum of 5 years of SAS programming experience with clinical trial data

Grammarly Inc.; Canada, United States

     Published: June 20, 2024   15:15

Duties: Build scalable end-to-end machine learning solutions for challenging customer problems; Explore novel techniques to tackle previously unsolved problems; Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design. Mentor other team members in these areas; Work cross-functionally with various teams to integrate risk mitigation technology into different Grammarly products
Requirements: Understands traditional machine learning algorithms, state-of-the-art techniques—including deep learning—and how to use them effectively; Has expertise in NLP, safety, fairness, and Responsible AI; Is comfortable reading academic papers and can take exciting ideas and apply them; Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams

University of Massachusetts Lowell (UMass Lowell); Lowell, Massachusetts, United States

     Published: June 20, 2024   15:14

Duties: The successful applicant will conduct computational research in nuclear materials and advanced energy materials. The candidate will develop, train and test machine learning algorithms for performing materials simulations using methods such as dense neural networks, gaussian processes, and graph convolutional networks. Materials of interest include molten salts, which are used as a heat transfer fluid in advanced fission and fusion reactors, and doped ceramic materials for high-temperature electric-thermal energy storage. The candidate will help immediate supervisor in writing scholarly articles and proposals. Salary will be competitive and based on experience of the candidate
Requirements: PhD in Nuclear Engineering, Chemical Engineering, Materials Science, Computer Science, Chemistry, Physics, or related field; Molecular dynamics simulation, Electronic structure methods (DFT), Thermodynamic modeling, calculation of phase diagrams, Machine Learning, High-performance computing

Ghent University (UGent); Ghent, Flanders, Belgium

     Deadline: September 1, 2024 | Published: June 20, 2024   15:12

Duties: This PhD position is one of multiple positions being opened in connection to Advanced ERC Grant ACME ‘Assumption-lean (Causal) Modeling and Estimation’. In an era where the focus on causal inference is increasingly turning away from modeling towards quantifying population-level intervention effects, there is a risk of oversimplifying causal queries and of neglecting the rich history and efficacy of statistical modeling techniques. This ERC project aims to bridge this gap by leveraging the flexibility and power of statistical models to accurately represent intervention effects or facets of the causal data-generating mechanism, integrating it with recent insights from debiased machine learning and causal inference. Besides laying foundations for a novel paradigm for causal/statistical modeling, this project seeks to enhance the robustness and efficiency of debiased machine learning methods
Requirements: You have (or will obtain before the starting date, i.e., a few months after application) a master's degree in Statistics, or Mathematics, Physics, Computer Science, Engineering (each with a strong statistics or data science component), or equivalent, with excellent (‘honors’-level) grades. Your degree must be equivalent to 5 years of studies (bachelor + master) in the European Union; You have a strong background in statistical data analysis; familiarity with longitudinal data analysis, causal inference or debiased machine learning is a plus; You are creative and have strong analytical skills; You have experience in at least one modern programming language for data analysis (Python, R, etc.)

Aarhus University (AU); Aarhus, Jutland, Denmark

     Deadline: July 25, 2024 | Published: June 20, 2024   15:03

Duties: The position entail projects related to data science and artificial intelligence in the context of educational materials, specifically considering ethics. Other projects are locally anchored with industry around manufacturing, logistics and the technical service industry. The candidate will support several of these activities jointly with other researchers
Requirements: Possession of a Ph.D. in engineering, computer science, or related field; Understanding of programming, particularly in deep learning tools such as PyTorch and TensorFlow; Curious about or previously exposed to interdisciplinary research

University of Bergen; Bergen, Hordaland, Norway

     Deadline: August 10, 2024 | Published: June 20, 2024   14:56

Duties: The Department of Mathematics at the University of Bergen has a vacancy for a fixed-term 3 year PhD position in applied and computational mathematics. The position is part of the Norwegian Research Council funded Center for Sustainable Subsurface Resources (CSSR)
Requirements: Applicants must hold a master's degree or equivalent education in applied and computational mathematics, scientific computing, computational physics or computational geoscience; Strong expertise in applied and computational mathematics, and related software development is a requirement

University of the District of Columbia (UDC); Washington, D.C., District of Columbia, United States

     Published: June 20, 2024   14:53

Duties: Teaches a minimum of 4-courses per semester in mathematics, including developmental mathematics courses; Assists with recruitment of new students, advises and assists with the retention of current students; answers student inquiries (emails and voice mail messages) in a timely manner; Engages in scholarly activities and community service; Conducts a minimum of five office hours per week
Requirements: An earned doctorate or the highest appropriate credential in the field of specialization, or experience and achievements comparable to the doctorate

Scor; London, United Kingdom

     Published: June 20, 2024   13:37

Duties: Business and systems analysis including comprehensive documentation of business requirements, workflows and use cases; Solving problems including identifying, rationalisation of existing processes, proposals around emerging technology choices, and implementing new high-quality prototype and/or interim solutions; Support project delivery against requirements and planning, validation of system releases and coordination of User Acceptance Testing; Front-line operational business support/coordination and training, including serving as a subject matter expert for applications, processes, data flows and related transformations; Working closely with the business stakeholders and IT project teams to maintain systems including the management of core reference data and business logic; Facilitating regular project communications between the business and IT teams
Requirements: Degree or Masters in Information Technology, Computer Science, Engineering, Actuarial Science, Mathematics or related discipline, or equivalent qualifications; Extensive working experience around business system projects within the (re)insurance sector; Strong analytical/statistical skills on data related to (re)insurance and related systems/processes; Deep working knowledge of catastrophe modelling platforms including RMS, AIR, and IF is mandatory; Advanced working knowledge of risk analytics and accumulation systems

Georg-August-Universität Göttingen; Göttingen, Niedersachsen, Germany

     Deadline: July 10, 2024 | Published: June 20, 2024   13:30

Duties: You will conduct research which preferably deals with one of the following topics: Data analysis based on optimal transport, statistically efficient methods under computational constraints, or statistical methods for data on discrete structures. Additionally, you will get the opportunity to take place in our study program, which includes special lectures and seminars, annual workshops, regular meetings with other PhD students as well as with your thesis advisory committee
Requirements: hold an excellent or very good Master’s degree (or equivalent) in mathematics, engineering, statistics, physics or a related area; have strong interest and background in mathematical statistics, optimization and/or geometry; are proficient in written and spokenEnglish; have gained experience in programming and data analysis (e.g., Python, R, C++)

Zürcher Hochschule für Angewandte Wissenschaften (ZHAW); Winterthur, Zürich, Switzerland

     Published: June 20, 2024   13:25

Workload: 80-100%
Duties: As part of our research team, you will develop and implement algorithms that enable AI-based systems to understand and predict human intentions; You will work in a Horizon Europe project in collaboration with a multidisciplinary team to design and refine AI-based support systems for air traffic control; You will closely collaborate with our industry and project partners to implement your algorithms in the operational environment; You will have a chance to work on projects in diverse application fields with various industry partners; You will conduct research and optimise the human-machine interface and interaction, ensuring that systems are intuitive and augment human capabilities
Requirements: You have a master's degree in computer science, engineering, data analysis or a related field; Alternatively, you have a bachelor's degree in one of the above with practical experience in applied data science projects; Strong programming skills and experience with machine learning and AI technologies (preferably in python); You have experience with applying data analytical and machine learning methods; You can work creatively and analytically in a problem-solving environment; You have high oral and written communication skills in English and preferably also in German; You are a team player with the ability to work independently; You are interested in human-machine interaction preferably in aviation; You are interested in human factors and biometrical data

Scuola universitaria professionale della Svizzera italiana (SUPSI); Ticino, Switzerland

     Deadline: June 30, 2024 | Published: June 20, 2024   12:38

Duties: Design, implementazione, manutenzione ordinaria e straordinaria, gestione operativa, monitoraggio e sviluppo delle infrastrutture informatiche SUPSI, in particolare: datacenter e infrastrutture di virtualizzazione/reti informatiche locali e geografiche, sia cablate che wireless/sicurezza di rete e firewall/server, storage e cluster HPC dedicati alla ricerca/backup; Troubleshooting, gestione incidenti e problemi sia in Area sistemi e infrastrutture che cross-area; Gestione e partecipazione a progetti di sviluppo ed evoluzione delle infrastrutture informatiche SUPSI, sia in Area sistemi e infrastrutture che cross-area
Requirements: Bachelor SUP o titolo universitario in informatica o materia tecnica equivalente, esperienza di almeno 10 anni in posizione analoga, preferibilmente in ambito Higher Education; progettazione e gestione di infrastrutture di virtualizzazione enterprise geograficamente distribuite (preferibilmente su tecnologia VMware); progettazione e gestione di reti informatiche enterprise locali e geografiche (preferibilmente su tecnologia Cisco)

University of Luxembourg; Luxembourg City, Luxembourg

     Published: June 20, 2024   07:16

Duties: Under the direction of a professor, the candidate will carry out research activities and write a thesis with the main goal of obtain a PhD in the area of Software Engineering. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing, and analyzing experiments and simulations; conducting joint and independent research activities; contributing to project deliverables, milestones, demonstrations, and meetings; disseminating results at international scientific conferences/workshops and peer reviewed scientific publications
Requirements: Bachelor in Computer Science or related; Master on a subject related to Informatics, or Software Engineering, or Computer Science, or Information Technology; Strong background in software testing and formal methods applied to software engineering, such as, propositional/temporal logic, sat solving, model checking, etc; Strong analytical skills; Industry experience in information and communication technology will be considered as an advantage

University of Luxembourg; Luxembourg City, Luxembourg

     Published: June 20, 2024   07:16

Duties: Carry out novel research works in some of the following domains; Novel communications technologies for Beyond 5G/6G networks and services; Cellular, UAV, IoT, Tactile Internet, MEC, V2X, D2D, M2M, eMBB, mMTC and URLLC; Machine learning/deep learning techniques and Artificial Intelligence for wireless communications; Reinforcement learning, active learning, transfer learning, federated learning and interpretable/explainable AI; Software defined networking, network virtualization and network slicing for wireless networks; Energy-efficient communication technologies; Energy harvesting, SWIPT, backscatter communications and reconfigurable intelligent surfaces; Advanced multi-antenna technologies for B5G/6G wireless networks; Massive MIMO, cell-free massive MIMO, beam space massive MIMO, active antennas, smart antennas, precoding, hybrid analog-digital beamforming and 3D beamforming
Requirements: A PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and Computer Engineering; Should have published at least 3 journal papers in top 10% international journals of the field, and/or should have strong experimentation background and experience of working in industries or university laboratories; Sound publication track-record on one or some of the following areas: wireless communications technologies, signal processing for communications, machine/deep learning, UAVs, MTC/IoT communication techniques/protocols, Terahertz communications, and Quantum communications

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