Aufgaben: Die Bandbreite der Projekte ist gross: Vom Aufbau neuer Geschäftsfelder über Risikomanagement bis hin zum Projektmanagement grosser IT-Projekte; Als Einsteiger arbeiten Sie von Beginn an in einem Projektteam mit erfahrenen Kollegen. Sie entwickeln Konzepte und Lösungen für komplexe Problemstellungen und wirken an deren Umsetzung mit; Sie erarbeiten bei unseren Kunden Lösungen für anspruchsvolle analytische Fragestellungen; meist mit betriebswirtschaftlichem, finanzmathematischem und/oder IT-Hintergrund
Anforderungen: Sehr gut abgeschlossenes Studium (Diplom, Master oder Promotion) in Physik, Mathematik, Informatik oder einem anderen naturwissenschaftlichen Studiengang; Klares analytisches Denkvermögen; Gute IT-Kenntnisse und Beherrschen einer Programmiersprache; Sehr gute Deutschkenntnisse (mindestens C1-Level)

Aufgaben: Integrate with the SIGCOM research group and contribute to the SIGCOM on-going research projects; Identify and shortlist potential applications from the 5G wireless domain (including non-terrestrial networks) that can benefit either from: (i) continual learning, and (ii) spiking neural networks implemented in neuromorphic processors; Design and develop the machine learning algorithms able to provide a good performance-complexity trade-off for the identified scenarios and use cases
Anforderungen: A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on artificial intelligence; Experience with 5G communication systems; Experience with non-terrestrial networks (NTNs) is considered a plus but it is not required

Pensum: 60-100%
Aufgaben: Support and lead projects, from a quantitative and qualitative perspective, including analyzing/challenging/improving processes as well as consideration of relevant regulatory requirements (Basel, FINMA, etc.) and market practice, in a number of the following areas: i. Credit Risk, ii. Market Risk, iii. Liquidity Risk and Treasury, iv. Operational Risk, v. Capital; Build strong trusting relationships with our clients and internally
Anforderungen: Master or PhD in (i) a quantitative discipline (e.g., Mathematics, Physics), (ii) Banking and Finance or (iii) Economics or any other business-related field; 4-10 years of professional experience, particularly in banking (preferred) or in a consulting firm focusing on (quantitative) risk management topics; Strong analytical skills, coupled with an open and curious mind, problem solving ability and a solution focused attitude; Excellent knowledge of the Microsoft Office software suite; Strong written and verbal communication skills, the ability to build long lasting relationships and team orientated; Project and people management skills; Experience in model development and/or model validation is a plus for Credit Risk and Market Risk; Coding experience in Python or R is a plus for Credit Risk and Market Risk; Business-fluent in English (essential) with German or French language skills also beneficial

Pensum: 100%
Aufgaben: Betreuung von Schlüsselkunden; Verantwortungsvolle Mitarbeit bei Zertifizierungs-Mandaten, teilweise Koordination von internen Teams; Erarbeiten eines Verständnisses des Marktes und der Mitwirkenden in CH und EU; Fachliche Mitarbeit auf Zertifizierungs-Mandaten; Unterstützung bei der Aufrechterhaltung und Erweiterung der Akkreditierung; Weiterentwicklung des Service Offerings, Teilverantwortung über Zertifizierungscluster
Anforderungen: Erfolgreich abgeschlossenes Studium in Information Technology bzw. Computer Science, oder naturwissenschaftliches Studium; Mindestens 2-3 Jahre Berufserfahrung im Bereich IT Governance, Compliance, IT Audit oder Zertifizierung (in Funktion des Zertifizierers oder Zertifizierten); Schnelle Auffassungsgabe für komplexe Zusammenhänge; Kenntnisse und von Vorteil Berufserfahrung im Bereich Software-Konzepte sowie dazugehörigen Prozessabläufe, Kenntnisse von Sicherheitseinstellungen von Betriebssystemen, Datenbanken und Netzwerk Architekturen; Kommunikative Persönlichkeit sowie fliessende Deutsch- und gute Englischkenntnisse; Exakte und selbständige Arbeitsweise; Wissensdurst, Verantwortungsbewusstsein, Belastbarkeit und ein hoher Grad an Flexibilität

Aufgaben: Eigenständiges Erstellen von Untersuchungen unter der Führung eines Projektleiters: Planung von Angebotskonzepten, Erstellung von Kapazitätsanalysen und Betriebsstudien, Bewertung von Verkehrsprojekten; Anwendung der Planungs- und Simulationssoftware; Erstellung von Berichten und Präsentationen
Anforderungen: Hochschulabschluss in einer ingenieurwissenschaftlichen Disziplin; Erste Berufserfahrung; Kenntnisse der Eisenbahnbranche; Lösungsorientierte Persönlichkeit mit Freude an der Projektarbeit; Sehr gute Deutsch- und Englischkenntnisse, weitere Sprachen von Vorteil

Pensum: 80-100%
Aufgaben: Konzeptionelle Arbeiten zur Einbettung des Managements naturbezogener Finanzrisiken in die Bankenaufsicht und Beantwortung regulatorischer Fragestellungen; Entwicklung von Instrumenten zur Überwachung des Risikoprofils von Banken hinsichtlich natur-bezogener Finanzrisiken, beispielsweise Gestaltung und Durchführung von Datenerhebungen, Risikobeurteilungen, Benchmark-Analysen und Szenarioanalysen; Auswertung von Informationen von Banken zu naturbezogenen Finanzrisiken (beispielsweise Of-fenlegungen), sowie Durchführung von Aufsichtsgesprächen und Vor-Ort-Kontrollen bei Banken; Mitarbeit bei geschäftsbereichsübergreifenden Projektarbeiten im Bereich naturbezogener Finanz-risiken innerhalb der FINMA; Vertretung der FINMA im Austausch mit nationalen und internationalen Behörden zum Umgang mit naturbezogenen Finanzrisiken
Anforderungen: Hochschul- oder Fachhochschulabschluss, vorzugsweise in naturwissenschaftlicher Richtung; Berufserfahrung im Risikomanagement bei Banken, vorzugsweise im institutsweiten Risikomanagement oder Kreditrisikomanagement, mit praktischen Kenntnissen im Bereich Natur-/Umwelt- oder Klimarisiken; Erfahrungen im Projekt- und Stakeholdermanagement; Sehr gute Fähigkeiten, komplexe Zusammenhänge zu verstehen und adressatengerecht schriftlich und mündlich zu kommunizieren; Eigeninitiative, Selbstständiges Arbeiten, Organisationstalent und Teamfähigkeit; Deutsch- oder Französischkenntnisse (C2) sowie gute Kenntnisse der jeweils anderen Sprache (B2) und sehr gute Englischkenntnisse (C1)

Aufgaben: Drive agile best practices to foster a culture of technical excellence, focus on value, and prioritization; Play a leadership role (Technical Lead) in the design, development, testing and delivery of PolySystems modeling capabilities to support domestic Individual Life, Retirement, and Long Term Care businesses, as well as international businesses reinsured to Bermuda; Help define and implement PolySystems best practices across the suite of supported models and businesses; Design and lead testing of solutions and be able to communicate those solutions to a range of audiences; Serve as the lead for conversion of actuarial models to PolySystems by providing recommendations for modeling options, validation of the converted model to ensure accuracy, building end-to-end automation, and explaining the differences to stakeholders and assisting them by providing information they need to perform user acceptance testing
Anforderungen: 7+ years actuarial experience is required, with at least 3 of those years focused on actuarial modeling. Fellow of the Society of Actuaries designation (FSA) is preferred; Strong quantitative modeling and analytical skills; ability to understand and explain complex quantitative concepts and end-to-end models/systems; Strong verbal and written communication skills; able to explain technical concepts to non-technical audiences

Aufgaben: Collaborates with business partners in identifying analytical opportunities and developing BI-related goals and projects that will create strategically relevant insights; Work with internal and external partners to develop analytics vision and programs to advance BI solutions and practices; Understands data and sources of data.  Strategizes with IT development team and develops a process to collect, ingest, and deliver data along with proper data models for analytical needs; Interacts with business users to define pain points, problem statement, scope, and analytics business case.  Develops solutions with recommended data model and business intelligence technologies including data warehouse, data marts, OLAP modeling, dashboards/reporting, and data queries
Anforderungen: Bachelors’ Degree, from an accredited institution in Data Science, Statistics, Computer Science, or related field; 5+ years of experience with statistical modeling such as clustering, segmentation, multivariate, regression, etc. and analytics tools such as R, Python, Databricks, etc. required; Experience in developing and applying predictive and prescriptive modeling, deep-learning, or other machine learning techniques a plus; Hands-on development of AI solutions that comply with industry standards and government regulations

Aufgaben: Provide solutions to complex bioinformatics problems, requiring strong software engineering skills and background in highly scalable web based consumer applications development; Design and develop cutting edge web applications and user interfaces; Design and develop high performance components/sub-systems for highly scalable service-oriented software; Write well-documented, extensible software code that is easy to maintain, and that adheres to generally accept programming standards and OOP practices; Own the overall quality of your code including unit testing, functional testing and performance; Produce and maintain technical designs and documentation relevant to assigned software development tasks
Anforderungen: Bachelors in Computer Science required. Masters preferred; 3+ years of developing web applications; Experience building/using bioinformatics tools for NGS data required; Highly proficient in JAVA and strong understanding of multi-threaded programming; Excellent grasp of OOP concepts and design patterns

Aufgaben: The Wistar Institute has an opening for a motived candidate to join the Bin Tian lab as a Post-Doctoral Fellow to study regulation of mRNA processing and metabolism in cancer using computational and bioinformatic approaches. One area of our research is to examine how dysregulation of mRNA processing steps, especially the 3' end processing, impacts mRNA metabolism, such as subcellular localization and translation, and helps cancer cell survival and metastasis. A second area of our research is to examine therapeutic approaches that target vulnerabilities of cancer cells in mRNA processing and metabolism
Anforderungen: Candidates should have a Ph.D. degree in Computational Biology, Bioinformatics or a related field. Candidates who have experience in experimental biology and wish to advance a career in Bioinformatics and Computational Biology are also encouraged to apply

Aufgaben: Apply principles and methods of bioinformatics to assist scientists, principal investigator and other laboratory team members. Discuss study design with research team, and apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information
Anforderungen: Bachelor of Science and 3-4 years of experience or equivalent combination of education and experience is required

Aufgaben: Design, implementation and maintenance of biological knowledge graphs, databases and related applications; Integration of knowledge graph machine learning and biostatistics algorithms into applications; Design, implementation, and optimization of systems that incorporate Large Language Models to enhance local knowledge accessibility, including contributing to implementation hands-on; Research emerging trends and scientific methods in systems biology and related fields
Anforderungen: PhD in bioinformatics/PhD in computer and data science and related fields but with required biological or biomedical exposure/MS in afore mentioned fields with additional industry experience; Comprehensive understanding of design principles for biological knowledge graph ie. how to design database for bioinformaticians; Proficiency in languages such as Python, R, Java for data manipulation, analysis, and application development; Experience designing and implementing systems that leverage LLMs, building LLM applications with vector databases and agent architecture in frameworks like LangChain is a plus

Aufgaben: Join a team that works to implement a wide range of machine learning algorithms to deliver value for Pinners and Creators; Prototype through fast iteration to explore and demonstrate opportunities for all of Pinterest’s global Pinners and Creators; Integrate with many other internal engineering teams across Pinterest to support the end-to-end user journeys. Work in dynamic and diverse environments alongside engineering, products and designers. Evangelization across engineering to implement and adopt best practices to simplify our codebase and promote growth
Anforderungen: 4+ years of software engineering experience; 2+ years of industry experience in machine learning, in particular Deep Learning for Computer Vision using Pytorch framework; Deep understanding of modern architectures of Neural Networks for CV problems; Expertise in Python programming language for building effective pipelines for solving Machine Learning tasks

Aufgaben: Build and improve the ads marketplace to optimize value for Pinners, Partners and Pinterest; Apply state-of-art machine learning techniques to improve ads format triggering, ads ranking and selection. Drive value via the ads marketplace systems for bidding, budgeting, ad ranking, tuning, pricing, ad allocation and placement; Work with designers, product managers, data scientists to design and deliver end-to-end pinner facing ads products that directly move the bottom line for Pinterest; Design, implement and launch A/B experiments to improve the overall ads marketplace
Anforderungen: MS or PhD degree in Computer Science, Machine Learning or related field; 4+ years of industry experience; Strong software engineering, mathematical and analytical skills; Hands-on experience with model offline development and online serving; Hands-on experience with large-scale online e-commerce systems is preferred

Aufgaben: Opportunities available in: Product Development & Pricing; Valuation & Financial Reporting; Capital Management & Reinsurance; Business Planning; Asset Liability Management
Anforderungen: Year 2; 4 student in Actuarial Studies, or other quantitative subjects such as Statistics, Data Science, Risk Management, etc; Some progress in SOA Actuarial examination or equivalent but not required; Proficient in Microsoft Word, Excel, PowerPoint, Access, FoxPro; Programming skills and knowledge to GGY AXIS will be an advantage

Aufgaben: Reporting to Manager, Pricing Actuarial this position is responsible to assist the team for product development process for all stage process including maintain the illustration
Anforderungen: 0 to 2 years pricing exposure

Aufgaben: Machine Learning/AI Developer
Anforderungen: 12+ years of development experience; Machine-Learning experience (preferably Sagemaker or Python); Cloud infrastructure experience; Leadership experience

Aufgaben: As an integral part of the team, you will focus on fibrotic diseases and work closely with computational biologists in Genentech Computational Sciences and experimental scientists in Immunology Discovery. The goal is to design and analyze multi-omic experiments from pre-clinical models and patient samples in ways that maximize insights into fibrotic disease biology/development. These insights will directly inform novel therapeutic target/biomarker discovery and address key questions related to forward and reverse translation
Anforderungen: You have a Ph.D. in Computational Biology, Biostatistics, Bioinformatics, or similar, with a strong publication record. Alternatively, you have a Ph.D. in Immunology, Molecular Biology, etc. combined with a record of high-throughput data analysis, supported by publication in this area; You have a solid understanding of the relevant concepts in immunology and enthusiasm for learning more; You have broad experience with data generated by one or more high-throughput molecular assays: Next-generation sequencing, flow cytometry, etc; You have strong experience in the use of a high-level programming language such as Python or R for complex data analysis​

Aufgaben: Configures, debugs and ensures stable operation of HPC cluster tools such as Bright Cluster Manager, OpenHPC, Warewulf; Configures, optimizes and ensures stable operation of software such as MATLAB and open source equivalents such as Octave and SciLab. In addition, ensures that any added module or toolbox needed for this software is working properly, including necessary licenses; Configures, optimizes and ensures stable operation and availability of Message Passing Interface (MPI) such as OpenMP libraries and utilities; Configures, optimizes and ensures stable operation and availability of the R statistical package and necessary extra modules needed by the HPC cluster users; Configures, optimizes and ensures stable operation of GPU related software and libraries such as CUDA and others; Configures, optimizes and ensures stable operation of specific software needed for mathematical oncology, bioinformatics, biostatistics and any other groups of research involved in the use of the HPC cl...
Anforderungen: Bachelor’s Degree in Computer Science, Information Technology, Management Information Systems, Biology/Chemistry/Physics or related field; Minimum of seven (7) years' experience designing, developing and successfully administering or supporting Unix- based systems

Aufgaben: 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
Anforderungen: 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

Aufgaben: Conduct independent research under the joint mentorship of Drs. Geiger-Schuller and Corrada-Bravo; Develop and apply novel ML methods for interpretable representation learning of multi-modal data (including spatial transcriptomics and imaging) to assist the design and interpretation of in-vivo perturbation screens with spatial readouts; Collaborate with colleagues in neuroscience on the design and analysis of perturbation studies based on the application of methods developed in this project; Publish high-quality papers reporting on methodological and biological advances resulting from this work
Anforderungen: Ph.D. in Computational Biology, Computer Science, Statistics, Biostatistics or related field required; Demonstrated ability to design, implement, and apply modern ML methods for the analysis of high-throughput genomics data in general (e.g., spatial transcriptomics, scRNA-seq, RNA-seq, scATAC-seq, ATAC-seq, CITE-seq, etc.) required; Expertise implementing ML methods using appropriate technologies (e.g, PyTorch, JAX) required

Aufgaben: The focus of the project is to develop quantum computing algorithms for quantum scattering in atomic and molecular systems that are expected in a fusion energy system, and demonstrate the schemes in current quantum computers. Candidates with background in (1) quantum scattering theory and computation, particularly in atomic and molecular physics, and quantum chemistry; and/or (2) quantum computing, are preferred. Fusion energy science background is desirable but not required. The selected candidates are expected to work with a team of fusion energy scientists, atomic physicists, and quantum computing scientists. The initial appointment is for two years, with a possible third year extension depending on performance and funding availability
Anforderungen: Completion of a Ph.D. in STEM field within the last five years or expected completion within the current academic year. Demonstrated expertise in one or more areas of quantum computing, atomic/molecular physics, quantum chemistry, and quantum scattering broadly defined

Aufgaben: Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation; Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure; Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production; Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Anforderungen: PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science. Or an MS with full time industry or research experience in the field; Hands-on experience and solid understanding of machine learning and deep learning methods; Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas); Scientific thinking and the ability to invent

Aufgaben: Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data; Develop bioinformatics pipelines for analyzing high dimensional immunological data; Develop novel visualization tools for interpreting big cancer Omics data; Discover new predictive biomarkers for cancer prognosis; Collaborate on a variety of cancer and bioinformatics research projects
Anforderungen: Research background/experiences in Bioinformatics, Statistics, Computational Biology, Machine Learning, or Computer Science; A highly motivated and independent researcher with a strong quantitative scientific background; Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems; Experience in cancer genomics is not required but the ability to learn new knowledge is highly desirable; Excellent communication and writing skills; Experience of integration of multi-omics data such as WES, RNA-seq, metabolomics, proteomics, etc, is preferred

Aufgaben: Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models with a high degree of autonomy; Suggest, collect and synthesize requirements and create effective feature roadmap; Build strong crossfunctinal partnerships and code deliverables in tandem with the engineering team; Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) Actively seek and give feedback in alignment with Meta’s Performance Philosophy
Anforderungen: Currently has, or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta; Research and/or work experience in machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision