Duties: Leads data analysis and modeling projects from project and sample design. Participates in business review meetings with internal and external clients to develop requirements and deliverables. Performs analyses and modeling to final reports and presentations, communicates results, and provides implementation support. Demonstrates to stakeholders how analytics can be implemented to maximize business benefits. Provides strategic consulting, assessments, and project scoping and prepares and presents analytical perspective. Drives the use of data-based decision-making and analytics by active internal partnership management, discovering business opportunities, and creating business value by executing high-priority projects. Leverages advanced statistical and machine-learning techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Leverages scientific approaches (experimental design) to verify the performance of algorithms ...
Requirements: Master's degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Scientist or performing predictive analytics within the financial services or insurance industry

Duties: Understand business objectives and develop models that help to achieve them, along with metrics to track their progress; Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences; Analyze the ML algorithms that could be used to solve a given problem and rank them by their probability of success; Explore and visualize data to understand it, then identify differences in data distribution that could affect performance when deploying the model in the real world
Requirements: Bachelor’s or Master's degree in Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field; Proficiency with a deep learning framework such as PyTorch, TensorFlow, or Keras and and/or natural language processing using NLTK, spaCy, Gensim, etc; Proficiency in Python and basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks for all sorts of data science tasks

Duties: Serve as the biostatistics leader in multiple clinical development teams responsible for determining clinical study strategies and manage teams to deliver results with high quality and on time; Champion in bringing innovative statistical thinking and methods to help drive applications of suit-for-purpose statistical methods that enhance the probability of successes for clinical development programs; Collaborate with internal and external stakeholders to ensure effective quantitative approaches are applied to the collection and analysis of a wide variety of data types
Requirements: PhD (or equivalent degree) with 9+ (for Director) of relevant work experience in Biotech, Pharma, Regulatory agencies, or Clinical Research Organizations. MS (or equivalent degree) with 12+ years of relevant experience; Excellent statistical knowledge with the ability of applying the knowledge to solve scientific and clinical problems. Experience in Rare Diseases therapeutics clinical development is preferred; Working knowledge of relevant FDA, EU, ICH guidelines and regulations

Duties: Contribute to and lead Flagship model explorations to rapidly assess interesting areas of science, with an AI/ML focus, and develop novel, actionable and high value venture hypotheses; Outline key scientific questions to enable venture hypotheses and develop experimental plans to rapidly create value and pressure test ideas; Identify, build, and maintain relationships with appropriate academic KOLs and thought experts, i.e., introducing them to the Flagship model, getting early buy-in, vetting/validation and de-risking key concepts of venture hypotheses
Requirements: A PhD or equivalent in Computer Science, Data Science, Machine Learning, or a related field; Experience in biotech, computational biology, or a related industry. Experience in a start up environment and demonstrated passion for entrepreneurship preferred; Strong analytical and problem-solving skills

Duties: Als Senior Consultant Forensic Data Analytics (m/w/d) unterstützt du aktiv bei der Sachverhaltsaufarbeitung und -aufklärung nationaler und internationaler Wirtschaftskriminalität; und trägst so zu mehr Sicherheit bei digitalen Abläufen bei
Requirements: Abschluss in Informatik, Wirtschaftsinformatik, Wirtschaftswissenschaften, Mathematik oder ein Studiengang mit Schwerpunkten in Data Mining, Machine Learning, Business Intelligence o.ä; 2-4 Jahre Berufserfahrung in der Datenanalyse sowie umfassende Kenntnisse mindestens einer Technologie: Python, R, SQL sowie sicherer Umgang mit MS Office

Duties: Leader in bringing innovative statistical thinking and methods to help drive applications of suit-for-purpose statistical methods that enhance the probability of successes for clinical development programs; Collaborate with internal and external stakeholders to ensure effective quantitative approaches are applied to the collection and analysis of a wide variety of data types; Develop statistical sections of clinical development plans, protocols, statistical analysis plans, and key specifications for statistical programming implementation of analyses
Requirements: PhD in statistics (or equivalent degree) with 6+ years or master with 9+ years of relevant working experience in Biotech, Pharma, Regulatory agencies, or Clinical Research Organizations; Excellent statistical knowledge with the ability of applying the knowledge to solve scientific and clinical problems; Working knowledge of relevant ICH guidelines, US, EU and other regions’ regulations; Experience working on oncology, vaccine/infectious disease and rare disease clinical studies and regulatory interactions are preferred

Duties: In conjunction with the global Risk Analytics team, support in the development of IMM, IRB and IMA risk models and model enhancements specific to the European requirements; Ongoing monitoring and evaluation of the performance and compliance of the internal risk models in line with internal and regulatory standards and conditions; Regulatory related analysis and communication on market and credit risk models to support accurate and timely submissions to the local regulators; Input into the model validation process led by Model Risk Management
Requirements: MSc, PhD or equivalent in a quantitative subject (such as mathematics, physics, finance, economics or engineering); Solid knowledge of regulatory requirements for internal capital models and developments, in particular those emanating from Basel and European regulatory authorities; Strong understanding of traded derivative and fixed income products, and the behavior of these portfolios under stress

Duties: Oversee the analysis of large, multi-omic datasets with the goal of finding disease signatures for diagnosis and targets for drug development; Collaborate with your ICR team members to streamline and optimize novel methodologies to identify disease-causing genomic/transcriptomic variants and find actionable targets for therapeutic development; Create and test in silico human disease models to improve predictive diagnostics; Manage a team of data scientists, computational biologists and machine learning engineers in difficult but rewarding work
Requirements: A Masters or PhD and 10 years of data science/machine learning experience, with a focus on the integration of multi-omics level datasets, diagnosing disease and target discovery; A deep background in computer programming, machine learning, mathematics, probability and statistics with an emphasis on integrating and interrogating large, multi-omic datasets

Duties: As a Machine Learning Operations (MLOps) Engineer at Ligadata, you will play a key role in developing, training, monitoring & refining ML models as well as developing and maintaining the infrastructure and processes necessary for seamless deployment and scaling of machine learning models. You will collaborate with cross-functional teams to ensure the reliability, efficiency, and performance of our machine learning models & systems
Requirements: Bachelor's/Master's in Computer Science, Data Science, or related field; Proven ML model building, training, and MLOps experience; Proficiency in diverse ML models, LLMs, GenAI, and Python automation; Familiarity with Java, Scala, and containerization tools (Docker, Kubernetes)

Duties: Develop and explore computational theories of intelligence, including reasoning, learning, and decision-making; In close collaboration with domain experts inside and especially outside Basis, work as a team member to help solve scientific and societal problems; Distill insights from solving problems into more general mathematical and computational theories; Develop and maintain open-source software
Requirements: PhD (or equivalent experience) in technical areas, including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics

Duties: The role will focus on building and leading a team responsible for unlocking machine learning opportunities in media supply chain, captioning services, ad conditioning, metadata extraction and building foundational machine learning training and inference pipelines at scale. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments
Requirements: PhD or master’s in computer science or related discipline; 18+ years of experience managing Machine Learning teams; years of experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed machine learning algorithms and systems

Duties: Identify and pursue new research directions for current and emerging technologies in machine learning, machine vision and robotics; Join project teams to research new AI/ML related objectives for SwRI clients; Find new applications, industries, and clients for novel automation capabilities; Capture new research projects with new and existing clients
Requirements: Requires a Masters in Mechanical Engineering, Electrical Engineering, Computer Science, or directly related with related experience; 2-5 years Related experience and must have completed graduate work related to machine learning, computer vision, and/or robotics; Must have training in perception (computer vision/image processing, LIDAR, radar), software solutions for various intelligent systems applications, and convolutional neural networks (CNN); Must have C++, Python, and robot operating system (ROS)

Duties: In joining the Provider Actuarial services you’ll be part of a team that is a leader in health care cost analytics, with a proven track record of supporting hospitals across the country though a diverse staff of Actuaries, Data/Research Analysts, and Business/Technology Consultants. Our consulting team has continued to expand capabilities and our consulting presence by identifying, developing, and executing on new and exciting business opportunities within the provider space
Requirements: 5+ years of Actuarial experience in healthcare field; Experience with people management and/or project management; Experience collaborating with cross functional partners and presenting analytical findings to non-analytical audiences; Advanced proficiency in MS Excel; Proven intellectual curiosity and drive to serve clients

Duties: Develop credit risk models (scorecards) applying statistical analysis, credit life cycle principles, predictive modeling, machine learning and Big Data and using programming languages such as SAS, Python and SQL for international and U.S. business risk management. Develop, enhance, and validate methods of measuring and analyzing risk and risk types including market, credit and operational. Develop, validate and strategize uses of scoring models and scoring model related policies
Requirements: Requires a Master’s degree (or foreign equivalent), in Mathematics, Statistics, Business Analytics or related field and 3 years of experience as a Senior Specialist, Credit Risk Analyst, Business Analyst, Data Analyst or related position involving credit risk analysis for the financial services industry

Duties: The Computational Science Co-op program is a 6-month experiential training program for students currently working towards a US-based undergraduate or advanced degree in STEM. Our spring co-op program will run from July 15; December 13, 2024. Co-ops must be available for the entire duration of the program. This position is mainly on-site at Cambridge MA, but we may make an exception under special circumstances to make it entirely remote
Requirements: The ideal candidate will have a strong background in bioinformatics, computational biology, or a related field. Experience working with ribosome profiling data analysis and an understanding of mRNA translation processes is a plus but not required

Duties: Perform high-impact, high-reward rare and hard-to-diagnose disease work; Discover novel diagnostic disease signatures and uncover actionable targets for drug development; Integrate and analyze multi-omic datasets (e.g. genomic, epigenomic, transcriptomic, proteomic, metabolomic, clinomic)
Requirements: At least post-doctoral level experience analyzing -omic datasets or similar or MS degree with 5+ years experience in -omic dataset analysis; Extensive programming experience; A strong statistics background, particularly in descriptive and predictive statistics

Duties: We are seeking a Head of Machine Learning to drive the vision, strategy, and execution across machine learning and data generation efforts
Requirements: Ph.D. in machine learning, statistics, computer science, mathematical modeling, operations research, or related fields from a recognized higher-education establishment; >10 years of experience of machine learning leadership in the life sciences industry or in academia

Duties: Bando di selezione n. 1/2024 per il conferimento di n. 1 assegno, tipo A, per lo svolgimento di attività di ricerca
Requirements: Progetto dal titolo "EDP nonlineari evolutive e Fluidodinamica/Nonlinear Evolution PDEs and Fluid-dynamics"

Duties: Analyse der Produkte und Anforderungen unserer Kunden; Erstellen von Vorgaben für die Abbildung der Versicherungsprodukte und; tarife; Unterstützung bei der Tarifmodellierung und -konfiguration; Beraten der mathematischen Abteilungen unserer Kunden; Unterstützen bei aktuariellen Bestandsanalysen; Qualitätssicherung & Test
Requirements: Abgeschlossenes Studium der (Wirtschafts-)Mathematik; In Ausbildung zum/zur Aktuar/-in (DAV) oder Bereitschaft dazu; Erfahrung mit versicherungsmathematischer Softwareentwicklung; Interesse und Affinität zu Themen und Trends der Informationstechnik sowie der Versicherungswirtschaft; Beherrschen einer objektorientierten Programmiersprache; Hohes Abstraktionsvermögen; Eingeschränkte Reisebereitschaft für Kundentermine

Workload: 100%
Duties: Get to know "Thought Leadership" firsthand responding to today's changing market environment and new challenges in cyber security; Help our clients assess, build, and improve the effectiveness and quality of their information security as part of interdisciplinary teams of specialists working on advisory projects; Analyze complex enterprise environments from a cyber security perspective in different industries; Provide visibility and remediation of vulnerabilities and compromises, by among other executing penetrations tests and supporting crisis simulations; Help clients effectively and efficiently respond to cyber incidents; Assess information security management systems and provide independent assurance in accordance with national and international regulations and standards
Requirements: Bachelor's or Master's degree in (business)informatics, computer science, cyber security or similar; First experience in information security or in a comparable environment is preferred; A must: an interest in advisory topics and a deep technical understanding gained through training or other experience; Team spirit, determination, willingness to take action, and quick and analytical thinking; Proficiency in English and German

Duties: Develop Solutions for AI systems and embedded aerospace/avionics systems and subsystems; Develop Solutions for neuromorphic AI/ML; Develop AI/ML Solutions for Aircraft systems, EW, SIGINT, and/or sensor fusion; Perform Data Science and analytics; Drive the team to meet budgets and schedules
Requirements: Requires a Masters degree (preferred PhD) in Artificial Intelligence or equivalent; Shift work required; 8+ years: Shown industry AI experience; Preferred experience developing AI and other software while using Python, Tensor Flow, Keras, PyTorch, or other AI development environments

Duties: Architect, develop, test, maintain Bioinformatics Pipeline Systems; Research and develop new algorithms, programs to support and improve Bioinformatics system efficiency; Data management, data maintenance and database administration; Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilities; Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Requirements: A Bachelors Degree with a major in Bioinformatics, Computer Science, or a related discipline; Knowledge of Java, JavaScript, Python, Bash Scripts; Knowledge of Database, SQL; Knowledge of GIT Source Control, Windows, and Linux; Ability to handle periodic on-call duty as well as out-of-band requests

Duties: Übersetzung von ökonomischen, vom Geschäft ausgehenden Fragestellungen im Bereich Pricing in datenbasierte/statistische Probleme und Lösung dieser Aufgaben mittels Data Analytics Methoden; Einsatz von aktuellen Machine Learning und Deep Learning Verfahren in einer professionellen DevOps Umgebung mit Python; Interpretation, Visualisierung und Kommunikation von Ergebnissen an Product Owner (w/m/d) und Fachexpert: innen mit Geschäftsexpertise
Requirements: Sehr guter Studienabschluss mit praktischem Bezug zu Data Science oder Machine Learning; Erfahrung in Programmierung (z.B. Python, R, SAS) und Data Science Methoden (z.B. Machine Learning); Erfahrung im Bereich Tarifierung/Versicherungsmathematik ist von Vorteil

Duties: Sie erhalten Einblicke in die Lebensversicherung mit Schwerpunkt aktuarielle Produktentwicklung, Versicherungstechnik und Qualitätsmanagement; Sie modellieren versicherungstechnische Werte von Produkten des Neugeschäfts und des Bestandes im Hinblick auf Qualität, Aktualität und Profitabilität; Sie lernen die Abläufe in der aktuariellen Entwicklung kennen und betreuen Projekte zur Optimierung dieser Prozesse mit; Sie wenden Ihre Programmierkenntnisse an und vertiefen diese
Requirements: Sie studieren (Wirtschafts-)Informatik, (Wirtschafts-)Mathematik, Wirtschaftswissenschaften oder einen vergleichbaren Studiengang. Sie verfügen ideralerweise über Programmierkenntnisse sowie Vorkenntnisse in den Bereichen Versicherungs-/Finanzmathematik. Sie erkennen Probleme schnell und lösen diese gerne, verantwortungsbewusst und verlässlich. Sie kommunizieren offen und haben Freude bei der Zusammenarbeit im Team. Sie sind während Ihres Praktikums an einer Hochschule immatrikuliert

Duties: Sie lernen Methoden der strategischen Bilanzsteuerung und Statistik kennen; Sie begleiten spannenden Projekte des aktuariellen Bestandscontrollings im Bereich der Lebensversicherung; Sie wirken bei der Optimierung von Prozessen mit und übernehmen eigenverantwortlich Aufgaben; Sie haben die Möglichkeit, Ihre Fähigkeiten umfassend einzubringen und zu erweitern; Sie knüpfen interessante Kontakte und bauen sich ein hilfreiches Netzwerk im Unternehmen auf
Requirements: Sie studieren (Wirtschafts-)Informatik oder (Wirtschafts-)Mathematik; Sie verfügen ideralerweise über praktische Programmierkenntnisse und Grundkenntnisse im Bereich der Lebensversicherungsmathematik; Sie erkennen Probleme schnell und lösen diese gerne, verantwortungsbewusst und verlässlich; Sie kommunizieren offen und haben Freude bei der Zusammenarbeit im Team; Sie sind während Ihres Praktikums an einer Hochschule immatrikuliert