Clinical Data Manager, Sponsor Dedicated ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development As a Clinical Data Science Lead at ICON, you will drive data science initiatives within clinical trials, ensuring that our analyses provide meaningful insights that inform strategic decisions. What You Will Do: You will manage day-to-day clinical data science activities, supporting your team to deliver quality outcomes. Key responsibilities include: - Leading the design and implementation of data science strategies to enhance clinical trial data analysis. - Collaborating with cross-functional teams to identify key data requirements and analytical needs. - Overseeing the development of statistical models and analytical tools to optimize data interpretation. - Mentoring and guiding team members in best practices for data analysis and visualization. - Communicating findings and insights to stakeholders through presentations and reports, influencing project direction. Your Profile: You will have solid clinical data science experience, with the ability to manage competing priorities and develop your team. Required qualifications and experience: - Bachelor's degree in life sciences, computer science, or a related discipline - Extensive experience in data analysis and project leadership within a clinical research setting. - Strong expertise in statistical software and data visualization techniques. - Exceptional analytical and problem-solving skills, with a focus on translating data into actionable insights. - Excellent communication and leadership skills, with the ability to foster collaboration across diverse teams. - Willingness to travel as required (approximately 15%) What ICON can offer you: Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: - Various annual leave entitlements - A range of health insurance offerings to suit you and your family’s needs. - Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. - Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being. - Life assurance - Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here. Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide. DATA SCIENCE ENGINEER Airline industry is going through a drastic transformation in the area of retailing and distribution that requires very advance data analytics support to optimize revenue performance and customer experience. Recently introduced concepts of Offer/Order Management and Continuous Dynamic Pricing significantly expand opportunities for en-gaging with travelers through multiple touch points and creating personalized offers accounting for individual preferences and market context. These practices can substantially benefit from a combination of statistical and machine learning techniques leveraging huge volumes and variety of consumer and competitive data available in airline industry. The Data Science Engineer applies expert level statistical analysis, data modeling, and predictive analysis on stra-tegic and operational problems in airline industry. As a key member of the Sabre Operations Research team, you will leverage your statistical and business expertise to translate business questions into data analysis and models, define suitable KPIs, and graphically present results to a wide range of audiences including internal and external clients, sales, and development team. In addition, you will source data from multiple different data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, develop and apply data mining and machine learning algorithms for advanced analysis and prediction. You will also utilize your strong communication skills to work with developers to support product development cycles and decision makers who need empirical data to promote sales and growth. Responsibilities - Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver in-sights and actionable prediction of customer behavior and operations performance. - Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques. - Develop custom data models and algorithms to apply to data sets and run proof of concept studies. - Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms. - Collaborate with software engineers to implement and test production quality code for forecasting and data analytics models. - Develop processes and tools to monitor and analyze data accuracy and models’ performance. - Demonstrate software to customers and perform value proving benchmarks. Calibrate software for cus-tomer needs and train customer for using and maintaining software. - Resolve customer complaints with software and respond to suggestions for improvements and enhance-ments. Required Qualifications - Knowledge of airline revenue management algorithms and experience of developing demand forecasting and price optimization models - Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines. - Proven ability to apply modeling and analytical skills to real-world problems. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statisti-cal tests and proper usage, etc.) and experience with applications. - Solid programming skills with knowledge of R, SQL, Python, PySpark or other data-extraction and analysis tools and programming languages such as Java, JavaScript or C++. - Experience with deployment of machine learning and statistical models on a cloud and leveraging services like Amazon SageMaker and Amazon Forecast. - Knowledge of airline revenue management algorithms and experience of developing demand forecasting and price optimization models - Desirable Qualifications - Familiarity with airline, hospitality or retailing industries and decision support systems employed there. - Experience developing customer choice models, price elasticity estimation and market potential estimation. - Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts. We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses. Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data. May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: •Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. •Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches. •Executes analytical procedures in the framework of a specific project work request. •Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required. •Contributes to the interpretation of data analysis and to writing reports. •Helps customers understand the data set and provide training and suggestions for improvement on the data request. •Leverages communication and interpersonal skills and works with subject matter experts •Presents findings in easy to understand terms for the business or clinical practice. This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program. Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Firma Fresenius Medical Care jest światowym liderem w dziedzinie opieki nefrologicznej i poświęca się poprawie jakości życia pacjentów cierpiących na przewlekłą chorobę nerek. Naszą misją jest dostarczanie wysokiej jakości innowacyjnych produktów, usług i opieki, które pomagają pacjentom przez cały okres leczenia. Kierując się naszą wizją – „Tworzymy przyszłość, w której warto żyć. Dla pacjentów. Na całym świecie. Każdego dnia” – pracujemy z determinacją i empatią, wspierani przez zróżnicowany zespół ponad 110 000 pracowników na całym świecie. W ramach naszego segmentu Care Enablement opracowujemy i dostarczamy ratujące życie produkty medyczne, cyfrowe rozwiązania zdrowotne oraz terapie, które wzmacniają zespoły kliniczne i poprawiają wyniki leczenia pacjentów. Transformację wspieramy również poprzez naszą strategię FME Reignite, która koncentruje się na innowacjach, efektywności i zrównoważonym wzroście. Nasze wartości stanowią fundament naszej kultury: - Dbamy o naszych pacjentów, o siebie nawzajem i o nasze społeczności. - Łączymy zespoły i przekraczamy granice, aby wspólnie osiągać doskonałość. - Zobowiązujemy się działać we właściwy sposób – rozwijać się z jasnym celem i być liderem w opiece nad nerkami, kierując się uczciwością i innowacyjnością. Global Commercial, kluczowa podfunkcja w ramach Care Enablement, odgrywa zasadniczą rolę w realizacji misji firmy Fresenius Medical Care, jaką jest poprawa jakości życia pacjentów z przewlekłą chorobą nerek. Zespół ten skupia działy sprzedaży, marketingu, globalnego wsparcia sprzedaży oraz globalnej obsługi technicznej, które ściśle ze sobą współpracują, aby dostarczać na rynki światowe wysokiej jakości produkty medyczne, usługi techniczne oraz skuteczne strategie handlowe. Obecnie do naszego Działu Sprzedaży i Marketingu w Polsce poszukujemy kandydata na stanowisko Pielęgniarki/Pielęgniarza - Specjalisty/Specjalistki ds. Wdrożeniowych. Zakres obowiązków - Przygotowanie i realizacja szkoleń personelu Stacji Dializ z zakresu obsługi aparatów do hemodializ, prowadzenia terapii nerkozastępczej przy użyciu urządzeń i systemów Fresenius Medical Care Polska S.A. - Organizacja spotkań promocyjnych i szkoleniowych dla pielęgniarek. - Prezentacja urządzeń i rozwiązań oferowanych przez FMC Polska S.A. - Dbanie o budowanie relacji i utrzymywanie więzi z istniejącymi klientami firmy, utrzymywanie z nimi dobrych relacji. - Wsparcie klientów w trakcie całego procesu wdrożenia. - Utrzymywanie ważnych certyfikatów uprawniających do prowadzenia szkoleń z zakresu obsługi aparatów HD. - Sporządzanie raportów z przebiegu wykonywanej pracy. - Ścisła współpraca z Działami Sprzedaży, Działem Przetargów i Działem Obsługi Klienta w celu poprawnej realizacji zadań. - Przestrzeganie zasad i regulacji obowiązujących w FMC Polska S.A. ze szczególnym uwzględnieniem compliance. - Ustawiczna aktualizacja i doskonalenie wiedzy na temat produktów i postępowania terapeutycznego związanego z produktami oferowanymi przez FMC Polska S.A. - Zdobywanie i utrzymywanie uprawnień koniecznych do wykonywania wdrożeń Wymagania - Wykształcenie medyczne – pielęgniarstwo - Minimum 2 lata doświadczenia zawodowego w zakresie opieki pielęgniarskiej nad pacjentem dializowanym - Znajomość języka angielskiego na poziomie co najmniej B2 - Komunikatywność i wysoka kultura osobista - Dobra znajomość MS Office - Systematyczność, dokładność i chęć do działania - Czynne prawo jazdy kategorii B Oferujemy - Pracę w stabilnej firmie o ugruntowanej pozycji rynkowej (umowa o pracę) - Bonus roczny zgodnie z regulaminem wynagradzania - Pakiet medyczny i sportowy na preferencyjnych warunkach od początku zatrudnienia - Portfolio nowoczesnych produktów i sprawdzonych rozwiązań technologicznych - Samochód służbowy - Komputer przenośny, telefon - Profesjonalny system szkoleń i doskonalenia - Atmosferę sprzyjającą rozwojowi