Duties: 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
Requirements: 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)

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Workload: 80-100%
Duties: Planung und Weiterentwicklung unserer komplexen Plattformen; Einbringen neuer Ideen und Konzepte; Durchführen von Code Reviews; Planung und Konzeption von Erweiterungen; Rollout und Wartung der Plattformen
Requirements: Besondere Sensibilität für Themen der Sicherheit und Privatsphäre; Fundiertes Fachwissen in der Entwicklung mit Web-Technologien (z.B. JavaScript, TypeScript, PHP, Python, SCSS, HTML5, mySQL, PostgreSQL); Nice to have: Docker, Rust, Svelte, reaktives JavaScript; Freude an hoher Code Quality (Unit Tests, Integration Tests etc.); Linux-/Unix-Kenntnisse sind von Vorteil

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: Opportunities available in: Product Development & Pricing; Valuation & Financial Reporting; Capital Management & Reinsurance; Business Planning; Asset Liability Management
Requirements: 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

Duties: 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
Requirements: 0 to 2 years pricing exposure

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

Duties: 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
Requirements: 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​

Duties: 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...
Requirements: 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

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

Duties: 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
Requirements: 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

Workload: 100%
Duties: Im Team bist du für die Weiterentwicklung, Pflege und Dokumentation unserer ERP-Anwendung für Online- und Omnichannel-Händler verantwortlich; Du programmierst und optimierst Anwendungslösungen in unseren ERP-, CRM- und Kassenlösungen inklusive aller Schnittstellen zu Drittsystemen; Du stimmst individuelle Changes mit unseren Kunden ab und setzt diese im Team um. Du nimmst neue fachliche Anforderungen professionell auf und sorgst für eine detaillierte Analyse & Konzeption
Requirements: Du verfügst über ein abgeschlossenes Studium (Informatik, Wirtschaftsinformatik, Technische Informatik bzw. ähnliche Fachrichtungen) oder eine vergleichbare Ausbildung; Du bringst grundlegende Kenntnisse und idealerweise erste praktische Erfahrung in den Bereichen von Java, C# und .NET-Technologien oder anderen C-basierten Sprachen mit

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: Build product definition and leverage your technical skills to drive towards the right solution; Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives; Solve difficult problems, learn recent technologies, and push the boundaries of what is possible; Work independently and in a team environment; Scope, design, and build scalable, resilient distributed systems; Engage in cross-functional collaboration throughout the entire software lifecycle; Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization
Requirements: Bachelor's degree in computer science, Information Systems, or equivalent education or work experience; Experience with end-to-end Machine Learning Engineering lifecycle; Experience with Cloud Platforms such as Azure, AWS, or Google Cloud; Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML; Experience with Big Data platforms such as Databricks or Apache Spark

Duties: Use AWS to provide serverless and cutting-edge ML solutions; Contribute to leading both research and clinical initiatives to develop software solutions for complex data science projects; Use software design and development best practices to create and maintain efficient data analysis and workflow pipelines; Employ best practices in coding, including thorough testing and documentation of code
Requirements: Bachelor's or Master’s degree in computer science, electrical engineering, or related discipline; Three to five years of programming experience; three to five years of systems experience; minimum of two years of application development experience in a clinical and/or research setting; Software development experience in languages such as Python, Scala, Java; Familiarity with scripting and process automation

Duties: Set up processes to ensure continuous high-quality delivery by the team, including but not limited to implementing best project management practices (agile/scrum as needed); Support a team of highly talented professionals (data scientists, ML Ops); and implement upskilling plans as required for business need, working in close collaboration with the people leader; Strategize on key opportunities/whitespaces, drive discussions and expand outcomes from LCCI for data science driven business solutions; Integrate working model for analytics capabilities across BI&A teams, and where possible, across other LCCI teams to drive better cross-team resourcing, cross-pollination of best practices and expansion of LCCI capabilities
Requirements: Master’s/Ph.D. degree in technology, statistics/mathematics, econometrics, operations research or computer science; 12-18 years of relevant work experience with demonstrated experience of working as data scientist/managing complex projects and cross-functional teams; Strong foundational understanding in applied statistics

Duties: The Data Scientist, Omnichannel plays a critical role in providing valuable strategic and tactical business insight and recommendations to Marketing, Agencies and Omnichannel Strategy & Operations (OSO) teams to support achievement of brand promotional and campaign objectives. This role will be responsible for leveraging data to drive insights, optimize customer experiences, and contribute to the overall success of our omnichannel initiatives. This position will be leading our Next Best Action initiative, which will including analyzing and measuring the promotional effectiveness of omnichannel activities and building recommendation systems using predictive models
Requirements: Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field; Minimum 8 years of analytics/data science experience with a focus on omnichannel analytics and demonstrated success in managing projects of increasing size and complexity; Expertise in machine learning techniques, statistical analysis, and data visualization, including classification models, promotion response modeling, predictive modeling, etc