Duties: Effective risk and inforce management of globally assumed products with longevity risk; Driving efficiencies in longevity and collateral systems and processes; Leveraging the value in the inforce, through actionable analytics and business insights; Supporting new business growth
Requirements: Fellowship in a recognized actuarial organization preferred (FSA, FIA, FCAS, FIAA); 7+ years’ experience; at least 4 years post-qualification experience; Undergraduate degree in related field; Experience in actuarial modelling software such as Prophet and/or AXIS; Advanced knowledge of life, health, and/or annuity products; Advanced written and verbal communication skills, whereby complex and technical information can be conveyed in a way that is meaningful by all stakeholders, including senior management

Duties: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest; Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas; Use data driven methods and leverage the unique properties of our data to improve candidates retrieval; Work in a high-impact environment with quick experimentation and product launches; Keeping up with industry trends in recommendation systems
Requirements: M.S. or PhD in Machine Learning or related areas; 5+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning); End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)

Workload: 100%
Duties: Durchsetzung der vom UNO-Sicherheitsrat verabschiedeten Resolutionen überwachen; Verstösse gegen die Resolutionen der UNO beobachten und rapportieren; Gespräche mit der lokalen Bevölkerung und Behörden führen sowie Patrouillentätigkeiten im Einsatzgebiet ausführen; Truppenbeschränkungen sowie Waffen und Munition im Einsatzgebiet auf Grundlage des Missions-Mandates kontrollieren; Einhaltung der Grundlagen zum Schutz der Zivilbevölkerung und des UNO-Personals durch Verhandlungen und Gespräche kontrollieren
Requirements: Abgeschlossene Berufslehre oder Studium, praktische Veranlagung und einwandfreier Leumund; Militärischer Grad der Schweizer Armee als Oberleutnant, Hauptmann, Major oder Oberstleutnant; Psychische und physische Belastbarkeit; hohe Bereitschaft, sich im internationalen Umfeld für mehrere Monate als unparteiischer Militärbeobachter für die UNO einzusetzen; Fähigkeit, persönliche Interessen in den Hintergrund zu stellen; Ziviler Fahrausweis (Kat. B1); Sehr gute Englischkenntnisse, Französischkenntnisse sind von Vorteil

Duties: Here you will find companies/institutions offering quantitative consulting (Mathematics, Statistics, Actuarial consulting, Data Mining, Econometrics, Operations Research, Bioinformatics & more). Please contact these companies directly
Requirements: Currently, we list the following companies: acad.jobs AG, AICOS Technologies AG, Alma | Life, Health and Pension AG, Actuarial and Risk Consulting Stoll GmbH, AT Analytics AG, Basycon Unternehmensberatung GmbH, Consult AG Statistical Services, Institut für Datenanalyse und Prozessdesign (Zürcher Hochschule für Angewandte Wissenschaften), Intuitive Collaboration AG, Keller Experten AG, Kellex AG, Libera AG, Systemorph AG

Duties: Vous ferez partie d’une équipe interdisciplinaire d’ingénieurs, de scientifiques de données et de chercheurs travaillant dans un environnement axé sur la recherche. ; Acquérir rapidement de nouvelles compétences et les appliquer selon les besoins, par exemple apprendre un nouvel algorithme d’apprentissage automatique à partir d’un document de recherche et le mettre en œuvre; Solides bases en génie logiciel, y compris le codage, les tests, la résolution de problèmes et l’analyse de données; Fournir un soutien de haute qualité à tous les chercheurs du laboratoire et à notre communauté d’utilisateurs. ; Créer et entretenir des relations techniques avec les équipes produits. 
Requirements: Baccalauréat en informatique, ingénierie, statistiques, mathématiques ou dans un domaine connexe et plus de 4 ans d’expérience en ingénierie technique avec le codage dans des langages comprenant, sans toutefois s’y limiter, C, C++, C#, Java, JavaScript ou Python

Duties: Responsible for accuracy and completeness of database quality assurance checks; Responsible for assuring that data for statistical analyses are sufficiently accurate and consistent; Demonstrate extensive understanding of statistical concepts and methodologies; Responsible for accuracy and consistency of statistical tables, figures, and data listings, accuracy of report text, and consistency between summary tables in the body of reports and the corresponding source tables and listings
Requirements: MS in Statistics, Biostatistics or related field; Technical competence and communication capability, both oral and written; Training and experience in experimental design, descriptive and inferential statistics, Biometrics and computer systems

Duties: Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects; Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale; Implement and improve machine learning training and inference pipelines; Make iterations on the models for improvements
Requirements: MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study; Solid coding proficiency in Python or C++; ​​- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts; Experience in software architecture, system performance, latency and data flow; Experience in Machine Learning

Duties: Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects; Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale; Implement and improve machine learning training and inference pipelines; Make iterations on the models for improvements; Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models
Requirements: MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study; Solid coding proficiency in Python or C++; ​​- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts; Experience in software architecture, system performance, latency and data flow; Experience in Machine Learning

Duties: Serve as the bioinformatics lead on a collaborative project focused on characterizing induced immune responses in an in vitro immunogenicity model; Perform analysis of scRNAseq and proteomics data; Perform rational multi omic integration of resulting data; Use the relevant data to generate training sets for Machine Learning; Play a key role in data collection, model training, and deployment for property prediction; The postdoctoral fellow will also receive personalized training in relevant areas of Machine Learning or immunology, as needed
Requirements: Doctorate degree in bioinformatics or a related field; Understanding of basic concepts of immunology; Significant experience in single-cell RNAseq analysis pipelines; Excellent communicator able to write and speak about technical concepts to business, technical, and lay audiences

Duties: The Department of Finance at the Faculty of Management, Dalhousie University, invites applications for a twelve-month limited-term appointment at the rank of Lecturer or Assistant Professor, starting August 1, 2024 (negotiable)
Requirements: A PhD or Masters degree in a relevant field (e.g. an MBA), or equivalent professional accreditation

Duties: Understand company and stakeholder challenges and how integrating AI capabilities can help lead to solutions; Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards; Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, in collaboration with your peers in an advanced engineering team and executive leadership; Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation; Serve as liaison between stakeholders and development team, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirements: Bachelor’s degree or several years of experience in computer science, data science, software development, or another related field; a master’s degree is recommended; Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R; Experience working with large data sets and writing efficient code capable of processing large data streams at speed; Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks

Duties: Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects; Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale; Implement and improve machine learning training and inference pipelines; Make iterations on the models for improvements; Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models
Requirements: MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study; Solid coding proficiency in Python or C++; ​​- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts; Experience in software architecture, system performance, latency and data flow; Experience in Machine Learning

Duties: Development and validation of new engine specific health monitoring functions, trend data cleansing scripts and their Portal interfaces; Support to development of engine model specific KPI dashboards; Analysis of engine operational data (from the field and test cell); Update of engineering process documentation; Engineering support for field engine investigations; Validation of new digital engine services as part of EIS roll out; Integration test support with aircraft OEMs
Requirements: Degree in Data Science, Machine learning, Aerospace Engineering

Duties: You will be working in the Oncology Biometrics Programming department reporting to a Sr. Director, Statistical Programming, providing leadership and management of standards governance activities at the therapeutic and study level related to the planning, execution and delivery of the data and the analysis reporting of clinical development. The scope of work includes, but is not limited to, the governance of clinical data standards change requests, development of new Oncology TA standards, and participation in cross-TA standards development activities
Requirements: Bachelor’s or Master’s (or local equivalent) degree in Mathematics, Statistics, Computer Science, Life or Social Sciences or related field; Support the Oncology Therapeutic Area Standards Definition Team by reviewing change requests from oncology study teams for standard components (with focus on SDTM, ADaM, TLF) to ensure compliance with the AZ & CDISC standards, regulatory guidelines and AZ Clinical data standards SOP, Protocol/SAP; Support study teams with questions related to oncology standards (with focus on SDTM, ADaM, TLF); Participate in and contribute to working groups (including SME’s) during review and optimisation of existing Corporate and Oncology Standards

Duties: Manage and grow the engineering team, providing technical vision and long-term roadmap; Understand the conversion data and improve the ads conversion prediction models by improving label quality and volume, as well as building innovative modeling solutions; Effectively collaborate and partner with several cross functional teams to improve model performance/efficiency; Mentor and grow ML engineers to allow them to become experts in modeling/conversion prediction
Requirements: M.S./PhD degree in a relevant field such as Computer Science, Statistics or equivalent experience; 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, natural language processing and/or computer vision; 1-2 years of experience leading projects/teams either as Tech Lead Manager or Engineering Manager

Duties: As an Associate Director, you will apply advanced statistical and machine learning methods to analyze multi-modal data aiming to potential biomarker and MoA (mechanism of action) insights. You will drive the development of biomarker identification, validation and patient stratification strategies in collaboration with cross-functional teams. You will effectively communicate complex findings and recommendations to diverse stakeholders through compelling data visualizations, reports, and presentations. You will also work with our Research and Translational Medicine Leads to proactively influence the generation of data assets as part of a data generation strategy to evaluate novel hypothesis and drive target discovery
Requirements: PhD in Data Science, Statistics, Bioinformatics, Computer Science, or a related quantitative field, with more than three years of experience in Pharma/Biotech or large cancer center; Extensive expertise in statistical analysis, machine learning, and advanced data manipulation techniques; Proficiency in programming languages such as Python, R, or similar; Significant experience in cancer biomarker analysis of multi-modal data from oncology clinical trials; Deep knowledge of cancer genetics and key algorithmic & statistical methods applicable to cancer genomics

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: Participates in project teams for clinical development programs and/or lifecycle management of marketed products; Provides strategic statistical input to the project teams and is a major contributor to the project/product level strategy (for example, CDP, CMP, go/no go approach, OCs ); Ensures that Data Science needs are reflected within the development plan and strategy across regions; Provides statistical advice to study and project teams including design of studies and analyses requiring advanced statistical methodologies. Recognizes and addresses issues which may impact the statistical integrity of the development program or for which statistical tools may add value
Requirements: PhD or M.S. in Biostatistics, Statistics or related scientific field; 6+ years (9+ years for MS) of experience in applying statistical methods in biomedical research, Pharma, CRO, Academia or Healthcare industry or in providing statistical direction in these areas

Duties: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines; Develop SDTM specifications and generate SDTM datasets using SAS; Develop ADaM, specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan; Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts; Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE); Create electronic submission package to FDA, e.g., define.xml or define.pdf following FDA guidelines with minimum supervision; Analyze information and develop innovative solutions to programming and data analysis challenges
Requirements: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with at least 3 years of clinical programming experience; Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus; Proficient in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members; Proficient in applying concepts in Artificial Intelligence and Machine Learning in the real world; In-depth knowledge of Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology

Duties: Responsible for protocol development including study design, sample size calculation, randomization, and statistical analysis plan for assigned studies; Provide statistical oversight to studies and assure adequate quality and consistency with project requirements; Responsible for assuring that data for statistical analyses are complete, accurate and consistent; Responsible for statistical analysis plans and the accuracy and timeliness of statistical input into reports or decisions; Responsible for validity of analysis and explore alternative analysis strategies as needed
Requirements: MS or PhD in Statistics, Biostatistics or related field. PhD with 3-5 years of experience or MS with 6-8 years of experience; Strong oral and written communications skills, with ability to effectively communicate internally and with clients; Demonstrated understanding and insight in statistics, drug development process and relevant FDA regulations; Pharmaceutical, CRO, or related industry experience with clinical trials, including interaction with Regulatory Agencies, especially FDA

Duties: Responsible for protocol development including study design, sample size estimation, randomization, and statistical analysis plan for assigned studies; Provide statistical oversight to studies and assure adequate quality and consistency with project requirements; Responsible for accuracy and completeness of database quality checks; Responsible for assuring that data for statistical analyses are complete, accurate and consistent; Responsible for statistical analysis plans and the accuracy and timeliness of statistical input into reports or decisions; Responsible for validity of analysis and alternative analysis strategies when unforeseen circumstances arise
Requirements: MS or PhD in Statistics, Biostatistics or related field. Ph.D. with 2+ years of experience or MS with 4+ years of experience; High degree of technical competence and communication skill, both oral and written; Competent in experimental design, descriptive and inferential statistics; Pharmaceutical, CRO, or related industry experience with clinical trials

Duties: Architect and develop systems, data pipelines, tools that accelerate model life cycle; Collaborate with signal owners during conceptualization and productionization of signal; Work with infrastructure and platform teams to build the right set of tools and APIs to support signal hosting and delivery; Collaborate with signal consuming teams to facilitate signal adoption
Requirements: M.S. or PhD in Machine Learning or related areas; 3+ years of industry experience; Expertise in at least one of the generic programming languages (Java/Scala/C++/Python/); Expertise with machine learning model lifecycle; Hands-on experience in building and debugging scalable backend services and APIs