59 jobs found

For our Business Unit Research and Development at Leica Microsystems in Heerbrugg, Switzerland we are looking for a Manager R&D Project Management Office (m/f/d) who will mainly ensure the position of Leica as a driver and new standard for connectivity, data management and usability. The Manager R&D PMO leads the Project Management Office (PMO) for our Medical and Applied products (digital microscopy, Image Processing, next generation, augmented reality) in the Global R&D organization and fosters an environment that delivers innovation, high product quality and on-time delivery of projects within our product portfolio. One must leads by example, act as a champion for lean product development, and collaborates in a multi-disciplinary approach to achieve common R&D targets. YOUR RESPONSIBILITES R&D PMO Functional Leadership Lead the R&D PMO organization and manage a team of Project Managers (4 team members) Establish and maintain standard work and daily management practices in project management (processes, methods and tools), leveraging DBS (Danaher Business System) tools Take ownership of the PMO function; drive consistency in project execution and the exchange of PM knowledge across R&D sites Collaborate with other R&D functions to ensure an efficient and effective R&D operating environment Develop and manage PMO technical competencies and capabilities Implement project road maps with Medical and Applied Divisions Innovation & Product Development Collaborate within Global R&D and with Business Units, Operations, RA/QA, etc. to achieve project targets Provide clear and timely information (i.e., estimates, analyses, scenarios, plans) to allow for detailed decision taking Forecast and manage capacity and resources to effectively execute the committed roadmaps for product development, sustenance and innovation Contribute to and support the development and execution of a technology roadmap Cultivate an environment that promotes innovation and ensures a strong IP pipeline People Management Develop a cohesive and unified team with common objectives and a shared mindset Foster a culture of transparency and accountability, and instill associates with a sense of ownership/urgency Celebrate success and use failures as an opportunity for “teaching moments” Actively develop and coach associates in both technical capabilities and professional growth OUR EXPECTATIONS 5 Years of experience leading/managing R&D teams (line or cross-functionally) Experience with Lean Project Management & Lean Tools; familiarity with the full product development lifecycle Track record in managing large, cross-functional R&D projects (delivered on-time, meeting product requirements and cost target) Excellent working knowledge of product design and development (mechanical / electronics / software) Direct experience working in the medical device industry or similar highly regulated environment Experienced with Lean Management /Kaizen), process orientated fundamentals and tools in the ever-day-business Education:   Bachelor or Master’s Degree in Engineering, Physics, Science or equivalent technical field Language skills:   fluent in English Travel approx. less than 20% YOUR PERSONALITY Displays a strong sense of urgency and sense of ownership Ability to influence cross-functionally, build key relationships and develop Teams Energetic and proactive, capable of managing complexity and motivating others Ability to accurately assess key business metrics and situations Strong problem-solving skills, structured, process orientated to manage conflict priorities in Projects Fosters teamwork:   work cooperatively and effectively with others to set goals, resolve problem, and make decisions that enhance organizational effectiveness. Demonstrated ability to improve business results through sustainable continuous improvement Shows a “Can- do- attitude” with agility, followership and a constructive a proactive style of communication Ability to present in front of board Are you interested to discover new opportunities in an innovative, team-oriented environment? Do you feel that this could be your future position? Then do apply online. We are looking forward to your application!

Job Description As part of the   Europe Strategy & Business Development   team, based in Geneva, you will support critical projects to drive the sector strategy and M&A agendas and facilitate C-suite decision making. You will: Participate in Europe Sector strategy projects Partner with Sector, Category, BU and Functional leadership and respective teams to support/drive delivery of PepsiCo Europe Strategic Priorities (e.g., Beverages/Snacks Strategic Framework, Nuts and Seeds Strategy, Bottlers optimization/negotiation, etc.) Work with 3 rd party consultants on Strategic projects where appropriate. Support delivery of other critical initiatives to drive improved value creation at BU and Sector level; partner with Corporate and Global Category Strategy teams to execute PEP wide Strategic initiatives within the Europe sector context. Partner with Corporate Strategy and Global Groups to develop Board materials. Monitor and analyse competitor results and performance to support business decision making. Participate in Europe Sector M&A agenda Support execution of Europe M&A pipeline and prospects defining priorities and roadmap with Europe Sector management. Partner with Corporate M&A, Sector leadership, Functions, and 3 rd parties to evaluate and execute acquisitions, divestitures, and strategic partnerships. Identify M&A targets or divestiture candidates. Help building comprehensive business case and rationale in partnership with BUs and Regions. Design and build valuation and financial impacts models. Support due diligence process across all functions. Present summary results, red flags, opportunities and attendant recommendations. Prepare summary presentation materials for Europe Executive Committee, Corporate Capex Committee, PEC, and Board of Directors to drive key M&A decisions. Qualifications/Requirements Experience Bachelor degree: Business / Economics / Finance / Engineering preferred Prior experience preferred in commercial, finance, strategy, investment banking and/or M&A roles P&L / financial analysis experience, understanding of business economics and drivers (e.g. pricing, fixed/variable costs, etc.) Solid understanding of PepsiCo Europe business and organization (preferred) Competences Ability to confront and resolve ambiguity through structured, hypothesis lead problem solving Structures work plans effectively and adapts to changing demands High level of numerical and analytical skills essential – strong Excel modelling. Goes beyond the obvious to identify analytical insight within data and outline clear implications Results oriented individual with clear definition of objectives and a focus on results Excellent verbal and written communication skills, especially PowerPoint Willingness and ability to travel occasionally (including Eastern Europe) Relocation Eligible:   Eligible for Standard Relocation Job Type:   Regular

Requisition ID: 14522Region: Europe (HQ)Contract type: Open-ended contract What we do The International Committee of the Red Cross (ICRC) works worldwide to provide humanitarian assistance to people affected by conflict and armed violence. We take action in response to emergencies and at the same time promote respect for international humanitarian law. We are an independent and neutral organization, and our mandate stems essentially from the Geneva Conventions of 1949. We work closely with National Red Cross and Red Crescent Societies and with their International Federation in order to ensure a concerted, rational and rapid humanitarian response to the needs of the victims of armed conflict or any other situation of internal violence. We direct and coordinate the international activities conducted in these situations. Purpose of the position Following our digital transformation to become a data-driven institution, the   Data & AI Manager   belonging to   ICT Application Unit   drives the strategy and capabilities around: Data Management (Master Data Management & Data Cataloguing). Data Engineering (Data pipeline, Data curation, DWH, BI) and Data Visualization. Advanced Analytics / Data Scientist (AI / ML Model, Natural Language Processing and Image Recognition). He/she ensures coherent evolution of these platforms (Database, DWH/BI, AI), their functioning, their constraints and the exploitation as well as the related staffing (internally or 3rd party suppliers). Main duties and responsibilities Establishes an   enterprise-wide information model, Data Services and technology roadmap   that maximizes logical data access, accuracy, consistency, and adherence to standards while minimizing data duplication. Collaborates with stakeholders of various units to identify opportunities to operate more efficiently and effectively, and to leverage data to bring value to our beneficiaries. Responsible for developing   advanced technical data science strategies   and maximizing the   implementation of analytical solutions and predictive modeling. Co-Leads with the CDO office development of a data catalog to serve the organization’s data users to identify the key data assets released. Builds Data & Analytics platforms strategy and roadmap in collaboration with the Head of Unit and other head of sectors including evangelization to ICT/DTD Management. Main duties and responsibilities continued Manages the building, updating and evolution of the cartography of the applications he/she is in charge of. Ensures the integrity of these systems according to the ICT roadmap and proposes evolution and simplification scenarios whilst taking into account all related factors (obligations, necessities and issues). Coordinates, synthetizes and ensures the quality of agreed validations, and gives the relevant information to all necessary stakeholders. Organizes, manages, coordinates and arbitrates his/her technical staff and providers: Evaluates the relevance and coherence of the projects in light of the target architecture and existing systems. Follow the projects to ensure technical consistency and their smooth integration into the infrastructure. Is responsible for ensuring the quality of the platform documentation according to ICT quality guidelines. Work with all the teams to carry out the tasks defined, according to the proposed schedule, with the technical teams, but also the business teams concerning the writing and execution of the non-regression tests. Education and experience required Masters Degree in Engineering or equivalent recognized in Information Systems. 5 to 10 years of experience in Data Analytics including data warehouse Experience in conducting complex technical projects in one of or all the following fields Data Analytics / DWH Implementation, Data Platform and/or AI/ML use cases. Familiarity with traditional and emerging database technologies including data visualization tools, cloud technologies, machine learning and artificial intelligence. Experience building data science and AI platform capabilities. Experience in data analytics platform modernization. Experience in big data, No SQL, graph databases, Cloud data warehousing, AI/ML infrastructure capabilities. Concrete experience with MDM (Master Data Management) is an asset. Expertise in data warehouse (Inmon, Kimball or Data Vault) is a plus. Desired profile and skills A good understanding of data architectures, data dictionaries and data lineages, and upstream/downstream semantic management. Knowledge of the operating principles of EAI and ETL, such as Microsoft BizTalk or Microsoft SSIS, is required. Knowledge of Microsoft SQL Server, Splunk, Elasticsearch is a strong advantage. Experience with big data technologies (cloud or on premises) is a strong advantage. At ease and experienced with Microsoft Project Server. Experience with Microsoft TFS, particularly the management of PBI (creation, follow-up) is a plus. Ability to integrate multiple changes in decision making. Service and client oriented. A rigorous and commited member of the team. Fluent in English and knowledge of French is an asset.

At Precision for Medicine, we believe that the era of one-size-fits-all medication is giving way to a next generation of treatments, medicines that will be more effective because they are prescribed according to the unique biology of an individual patient. Our mission is to help innovative biotech and pharmaceutical companies accelerate the development of these life-changing treatments. Precision does this by developing assays that utilize biomarkers to help identify the right patient for the right drug. We also handle every aspect of clinical trials from initial strategy and design to selecting sites and managing trial data. QuartzBio’s (www.quartz.bio) mission is to help innovative biotech and pharmaceutical companies identify the right patients for their drugs through the use of mathematics and technology to identify meaning from large-scale molecular, clinical and phenotypic biomarker data sets. We have pioneered a technology enabled service platform capable of integrating and harmonizing data from samples, clinical information, and complex, multi-omic biomarkers, and continue to evolve this platform to meet the continual demands of translational data science, from both a data management and analytical computational biology perspective. Does This Describe You? You understand that biological systems operate in non-linear ways, that there are mechanisms of regulation yet to be discovered, and are humbled by their complexity You are committed to the application of that knowledge to continually improve the woefully inadequate tools we currently use You are passionate about recent advances and applications in machine learning, and immediately skeptical when you hear the phrase “AI” You legitimately enjoy programming. In R. You are low ego, a truth seeker, and able to influence without authority The quality of your work product is important to you Our Senior Data Scientists invent and apply novel technologies to model biological systems using mathematics. In this role you will collaborate with leading computational biologists, biostatisticians, data engineers and computer scientists using novel machine learning approaches, network biology, causal modeling and systems biology applications to build disease and drug mechanism of action models, match patients to potential therapies, repurpose existing compounds. Our focus is to work with our clients to reduce the rate of failure in the clinic and bring needed therapies to patients as quickly as possible! What Your Day-to-Day Will Look Like: Work with colleagues at the top of their field in data and knowledge engineering, machine learning and modeling, and computational biology Use novel machine learning approaches, network biology, causal modeling and systems biology applications to build disease and drug mechanism of action models, match patients to potential therapies, repurpose existing compounds De-silo public data and knowledge sources to help clients solve their translational medicine challenges Integrate and compute on established findings (results, insights) into a knowledgebase Perform source code validation and application testing Mentor junior staff working towards leading projects to completion Help scope out new project objectives and timelines, and write analysis plans when required What You'll Need: Minimum Required: PhD and 1-2 years of relevant experience; or Master’s Degree and 4-5 years of relevant experience; or Bachelor’s Degree and 5+ years of relevant experience Degree concentration in Computational Biology, Bioinformatics, Data Science, Biostatistics, Biology or related field Other Required: Expert knowledge of R programming Experience with source code management systems such as git Experience in network or other computational modeling techniques Understand the fundamentals of signaling biology, and can apply towards the interpretation of analyses Ability to present work internally and externally Ability to work independently with little to no instruction on routine work Exercises judgment within generally defined practices selecting an approach for obtaining results Excellent communication and interpersonal skills Team player contributing to a positive, collaborative working environment Extended work hours may be required to meet business demands Must be able to read, write, speak fluently and comprehend the English language Preferred Previous experience with client delivery Experience with processing biomarker data such as high-content flow cytometry, high-throughput or targeted gene expression assays (e.g. Nanostring, RNA-Seq), or other specialty lab data (e.g., immunoassays, IHC, SNP genotyping, qPCR) Experience working with prior-knowledge driven, mechanistic modeling is a plus Precision Medicine Group is an integrated team of experts in fields from advanced lab sciences to translational informatics, clinical trial delivery, and regulatory affairs, payer insights to marketing communications. Together, we help our pharmaceutical and life-sciences clients conquer product development and commercialization challenges in a rapidly evolving environment.

Dans le cadre de notre division IT, nous recrutons pour un projet de longue durée, un(e)   BI Consultant(e) / Data Analyst. Le/La BI Consultant(e) / Data Analyst, est un(e) spécialiste des Systèmes d’Information Décisionnel en intervenant sur des problématiques Data et Business Intelligence. Son rôle consiste à assurer, analyser, accompagner et optimiser le bon fonctionnement opérationnel et technique, des montées de versions, du monitoring, et des diverses infrastructures Business et Data par la maitrise d’outils innovants et performants. Il / Elle analyse une masse importante de données, les visualise dans le but de déployer de nouveaux services. Au sein d’une équipe technique, vous interviendrez sur des projets IT et Digital à forte valeurs ajoutée, accompagnés de forts enjeux business. Vos responsabilités Définir un plan stratégique des spécifications techniques visant l’optimisation d’outils d’aide à la décision. Analyser les besoins fonctionnels et techniques à des fins de localisation des données de production. Organiser et mettre en place des workshops à destination des équipes métiers. Concevoir un entrepôt de données (datawarehouse) et un magasin de données (datamart) dédiés aux diffèrent acteurs Construire une architecture Data Centric   contrôlée et évolutive   sur des projets de Data Management, Data Analyse et Data Visualisation. Déployer une roadmap d’analyse data Veiller à l’uniformisation des outils, à la cohérence des données par la réalisation de tests et recettes techniques Effectuer des reportings réguliers Coordonner les différentes équipes métiers et évangéliser en interne sur les différents outils mis à disposition. Le profil recherché Formation en Ecole de commerce et/ou Universitaire en Statistiques, Informatique Décisionnelle ou Big Data. Expériences reconnues dans des fonctions similaires sur des projets Data et BI. Excellente maîtrise des outils Power BI (Desktop, Report Server, DAX) et Microsoft BI (SSIS, SSAS, SSRS) Bonnes connaissances de la méthodologie Agile / Scrum Bonne compréhension des technologies liées à l’IA : Machine Learning, Deep Learning… Nous offrons Un poste stable, en CDI, dans notre structure qui est en pleine croissance Un salaire compétitif Une aide pour venir s'installer dans la région L'accès à des formations/certifications Une mission chez un de nos clients clés Une balance respectée entre la vie professionnelle et la vie privée Qui sommes-nous ? Sigma est spécialisé dans le recrutement et le conseil en management. Nous recrutons sans a priori, sans code, avec le cœur et engagement. À nos yeux, c’est la diversité qui fait notre force. Que vous soyez ouvrier ou haut cadre dirigeant, c’est avec dévotion que nous vous proposons une proximité et une implication sur-mesure. Valorisons ensemble le capital humain !

Amaris is an independent, international Technologies and Management Consulting Group. Created in 2007, Amaris is already established in over 50 countries and supports more than 850 clients worldwide throughout their project's lifecycle. Our expertise covers five areas of innovation: Business and Management, Information Technologies, Engineering and High Technologies, Telecommunications and Biotech and Pharma. With more than 65 offices across the world, the Group offers proximity support to its clients in all their locations and many opportunities of international careers for employees. In 2019, Amaris aims to reach a turnover of 350 million euros, 6500 employees and to develop its workforces with the anticipation of a further 2000 new job openings. We expect to triple our workforce within the next few years and reach a leading international position in independent consulting. Your Role The aim of the Administrative & Finance department is to ensure Mantu’s growth in compliance with all regulations, as well as sustainable and optimized business conditions. The department is to support Mantu’s decisions with key information and accurate data, business drivers and analyses that are instrumental to optimal business management and efficient planning for the future. Thanks to the exponential growth of the Mantu Group, the Administrative & Finance department must adapt on productivity and efficiency. We are looking for a Data analyst who will participate in the financial aspects of the group. Your role includes: Implement data set / data model Participate in the quality control of the data Build consistent reports with your Stakeholders Implement these reports to various audience including business / Board of the group & finance governance Identify opportunities to improve processes and strategies Communicate regularly with users to improve and control reports Follow up usage of reports to better monitor the priorities This description considers the major responsibilities and is not restrictive. Our recruitment process is based on building with the candidates their own job description in order to bring real added value to the Group and to the professional career of our employees. Ideal Profile You are enrolled in a Master's Degree in business school, or with high mathematical and computing content (e.g. Computer Science, Statistics, Mathematics, Engineering or Physics). You have ideally made a prepa school before Looking for end of studies internship. Ideally, having 6 months' previous experience in Data visualization, PowerBI and in SQL or in similar position. Fluent in French and good in English. Curious, autonomous and eager to take leadership in your project. You are ready to work in a dynamic and challenging environment. You are at ease working on Excel and keen on process-automation. You are creative with a critical mindset, willing to bring innovative ideas in our finance department. An entrepreneur mindset will help you to onboard and grow within the Group. If you want to know more about life at Amaris or you need any extra information on the job application you want to apply to, visit our Amaris Discussion page. Our ambassadors are here to guide you or answer any question you have

Amaris is an independent, international Technologies and Management Consulting Group. Created in 2007, Amaris is already established in over 50 countries and supports more than 850 clients worldwide throughout their project's lifecycle. Our expertise covers five areas of innovation: Business and Management, Information Technologies, Engineering and High Technologies, Telecommunications and Biotech and Pharma. With more than 65 offices across the world, the Group offers proximity support to its clients in all their locations and many opportunities of international careers for employees. In 2019, Amaris aims to reach a turnover of 350 million euros, 6500 employees and to develop its workforces with the anticipation of a further 2000 new job openings. We expect to triple our workforce within the next few years and reach a leading international position in independent consulting. Your Role In order to sustain the growth of our activities in Switzerland, Amaris Consulting is hiring a Data Scientist for its Data Science Center of Excellence. 5+ years of relevant experience in Data Science Masters or PhD in Statistics, Mathematics, Computer Science or similar quantitative field. Experience in applying major data science, statistics and machine learning algorithms (e.g. Advanced regression methods, Support Vector Machines, Trees, Machine Learning, Deep Learning) and methods for exploratory, and confirmatory data analysis in mid to large volume data sets. Substantial experience with R and/or Python. In-depth knowledge of relational database principles and corresponding query language skills (e.g. SQL). Knowledge of big data platforms (e.g. Hadoop, SPARK). Strong communication skills. Practiced Agile methodology. Your role: Select valuable data sources Manage data security constraints Undertake preprocessing of unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models Combine models through ensemble modeling Collaborate with engineering and product development teams Your profile: You hold a Bachelor or Master degree in Statistics Or Data Scientist Understanding of advanced analytics and machine learning Data Analysis, Time Series, Survival Analysis, Bayesian Inference Deep learning, good understanding of CNN, RNN, GAN and Transfer Learning Knowledge of Python, R Proficiency in using query languages such as SQL and NoSQL Databases Experience using PowerBI or Tableau would be an asset Knowledge of one cloud platform GCP, AWS or Azure would be an asset Analytical mind and business acumen Delivery oriented Knowledge with AGILE project management Excellent communication and presentation skills Fluent in English and French

Job description Your role is to design, develop and implement database systems based on customer requirements. In additional to this role, you will be responsible to manage the lifecycle of the assigned applications inclusive of release upgrades, technological survey on new and modern tools and users support. Main tasks will include: BI Prepare design specifications and functional documentations for assigned database projects Participate in database design and architecture to support application development projects. Create complex functions, scripts, stored procedures and triggers to support application development Develop best practices for database design and development activities. Developing visual reports, dashboards and KPI scorecards using Power BI desktop. Application Responsible for the applications management within the given business contexts Responsible for the ongoing service and change requests for given applications, 2nd and 3rd level support (internal or external) Define technical documents and functional specifications to implement, monitor, administrate, customize and programs the operated applications Support business requirements formalization process for change requests and new developments Evaluate business demands and strategic initiatives in the concerned domains Profile More than 3 years of experience with Microsoft Business Intelligence Stack having Power BI, SSAS, SSRS, SSIS, T-SQL as well as in data preparation, data gateway and data warehousing projects 3 to 4 years of experience working with a self-service tool, preferably Power BI In-depth understanding of database management System, online analytical processing (OLAP) and ETL (Extract, transform, load) framework Familiarity in SQL and proven experience as a BI Developer IT functional and technical experience in one or more of the following applications like Cegid, TXT, Software AG, .NET etc. is a plus Professional requirements In this position, your hands-on mentality, attention to details and strong problem solving skills will be called upon. You have good interpersonal skills, are persuasive and resilient. You bring strong communication skills as well as pronounced analytical, technical and planning skills. Customer, service and solution oriented, you are used to work in fast moving, international environments and deal well with priorities and tight deadlines. You bring a Degree in Computer Science or equivalent and possess 3-4 years’ work experience in similar fields, as well as a background in data warehouse design (e.g. dimensional modeling) and data mining. Languages In addition, you are fluent in English and French, every additional language such as German or Italian is an asset. Furthermore, you are in possession of a valid Swiss work permit.

Alpiq Digital is the central hub for activities in the field of innovative energy solutions, artificial intelligence, machine learning, IoT, and distributed ledger technologies for both Digital Energy Solutions and E-Mobility. Alpiq Digital operates multiple services on a real-time energy AI platform and is continuously prototyping, implementing and releasing new energy services across the entire energy value chain. The focus is to provide services that help customers manage their transition to the new sustainable energy world with distributed and renewable energy assets. Because of the rapid growth in these areas we are currently expanding our team. We offer a position in an open, fast-paced, collaborative and entrepreneurial technology focused environment Your main responsabilities We are looking for an Energy Data Scientist to work on data analytics, algorithm development with a focus on time series analytics and forecasting for a wide range of automated real-time applications, specifically your main responsibilities are: Contribute to the development of our energy AI tools and libraries, by writing, refactoring and reviewing code for the technical implementation. Apply the energy AI tools to real-world problems by developing, configuring, training, evaluating and operationalize statistical- and machine-learning-based models. Develop a deep understanding of the underlying data models. Prepare design specifications and technical implementation proposals, carry out rapid prototyping and evaluation of potential new Energy AI services. Identifying and diagnose technical production issues, perform root cause analysis and work with all members of the cross-functional technology team to propose solutions. Your qualifications Bachelor’s degree or Master’s degree in quantitative data science discipline (e.g. Mathematics, Physics or Computer Science, or a similar related field) with courses in Machine Learning. 1-3 years demonstrated experience as a data scientist, machine learning practitioner, or similar related roles. A solid understanding of time series analysis, statistics and probability theory, and machine learning model structures like NN, RNN, LSTM with hands-on experience using data science tools, libraries and languages, i.e., Python, SQL/noSQL databases, scikit-learn, Keras, TensorFlow, and CUDA. Ability to apply theoretical concepts to real world problems with knowledge and modeling, understanding of physical systems, strong problem structuring and problem-solving skills. Knowledge of cloud and container infrastructure (Docker, AWS Fargate, AWS ECS, and AWS ECR, AWS S3, AWS Redshift) is an advantage, as well as Linux architecture and system administration. Fluent in English, both written and verbal. Your opportunity We offer you modern terms of employment and an interesting and multifaceted area of responsibility in an exciting, dynamic environment. Have we sparked your interest? Then please apply using our job application portal. Alpiq stands for equal employment opportunities. Designations of persons and functions apply to all sexes. Applicants from recruitment agencies can only be considered upon prior arrangement by telephone. About Alpiq Alpiq Holding Ltd is a Swiss energy company operating throughout Europe. Its activities include the generation and supply of electricity, energy trading and energy management. Alpiq Digital AG is a subsidiary of Alpiq Holding Ltd. and develops digital solutions and new service models in the energy industry.

Role Summary: We are looking for a Logistics Specialist for our production site in Eysins near Nyon. The Logistics Specialist is responsible for managing shipments, reporting transportation metrics, identifying trends across global transportation methods and practices, providing visibility through projects and tools, ensuring that internal customers needs are met and that company policy and international trade compliance regulations are adhered to. Essential Responsibilities: Continuous internal communication with global pole managers/transportation teams Implementation of tools and dashboards for metric visibility and communication Drive data analysis and business case development for key projects Coordinating and communicating shipment delivery requirements with freight forwarders Responsible for answering logistic cases/complaints on a timely manner Responsible for timely, accurate and complete record keeping Support standardization of transportation processes across the region Working cross-functionally with sourcing, operations, supply chain and finance to identify improvement opportunities and implement successful changes Release daily shipments, track picking, packing and shipping activities are completed in time with our 3PL Be the main point of contact for our 3PL for any logistics matters in order to serve our customers worldwide in due time. Support warehousing optimization/Lean projects Qualifications/Requirements: 1. Bachelor's Degree and 2 years of experience working in logistics, engineering, or supply chain management; OR a High School diploma/GED and 5 years of work experience in logistics, engineering, or supply chain management 2. Experience in logistics or supply chain. 3. Proven ability to meet deadlines in a fast paced changing environment. 4. Ability to work effectively in a cross-functional, global team environment Desired Characteristics: 1. Bachelors in Logistics, Engineering or Supply Chain 2. Demonstrated logistics leadership of multiple facilities in a similar industry 3. Proven ability to work on cross-functional, multi-cultural teams 4. Excellent project management, communication and analytical skills 5. Ability to energize, develop and influence at all levels within an organization About Us: GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers. www.ge.com Locations:   Switzerland; Eysins

Depuis le 1er janvier 2019, le Centre universitaire de médecine générale et santé publique, Unisanté regroupe les activités de la Policlinique médicale universitaire, de l'Institut universitaire de médecine sociale et préventive, de l'Institut universitaire romand de santé au travail, de la Fondation vaudoise pour le dépistage du cancer et de l'association Promotion santé Vaud. Unisanté est un établissement médical ambulatoire. Il constitue un pôle reconnu de formation médicale, de médecine préventive et de recherche Unisanté compte plus de 800 collaboratrices et collaborateurs (médecins, infirmières, pharmaciens, économistes, spécialistes des sciences sociales, etc.) et propose un environnement attrayant et novateur pour mener des recherches sur les services de santé et la santé publique. Le centre est particulièrement actif dans la recherche sur la prévention primaire et secondaire des maladies non transmissibles, la prise de décision partagée, la coordination et l'intégration des soins et l'équité en santé. Pour le secteur Systèmes et services de santé de notre Département Épidémiologie et Systèmes de Santé (DESS), nous recherchons un·e : Data scientist (100%) Vos missions principales seront les suivantes : En tant que spécialiste en science des données, vous intégrez et analysez des données complexes et multi-sources pour répondre à des questions de recherche et de développement dans le domaine de l’épidémiologie et de la recherche sur les systèmes et services de santé. Grâce à vos connaissances avancées en programmation et en méthodes statistiques, vous développez et optimisez des processus de traitement et d’analyse de données, à des fins d’exploration ou de prédiction. Vous soutenez et conseillez les chercheurs et chercheuses dans l’élaboration et la rédaction des protocoles de recherche/des mandats, notamment en matière de méthodes d’apprentissage automatique ou d’analyse textuelle. Vous participez à la rédaction d’articles scientifiques, voire de protocoles de recherche ou de mandats. Vos atouts : Master ou Doctorat en mathématiques, computer science, bio-informatique, data science/analytics, biological and systems engineering, computanional biology ; 3-5 ans d’expérience avérée et réussie dans le domaine data science et data analytics ; une expérience dans le domaine de la santé représente un atout ; Maîtrise des langages de programmation/de gestion & analyses de données R, Python, SQL database, C++, D3 ; Connaissances avancées des méthodes statistiques et de la visualisation des données ; Excellentes connaissances écrites et orales de l’anglais et du français (niveau C1), des connaissances en allemand sont un atout ; Goût pour le travail multidisciplinaire et collaboratif ; Flexibilité et sens de l'organisation. Nous offrons : Un environnement dynamique, moderne et humain ; Une activité variée et enrichissante ; Des moyens qui vous permettent de mener à bien vos missions et de développer vos compétences. Entrée en fonction :   01-03-2020 Délai de postulation :   16-02-2020 Personne de contact :   PITTET Valérie / Tél : 021 314 72 82 Référence :   265 Si vous êtes intéressé·e à relever ce défi et que vous vous êtes reconnu·e dans cette description, c'est avec plaisir que nous attendons votre   dossier complet   (lettre de motivation, CV, copie de certificats de travail et diplômes/attestations de formation). Seules les candidatures reçues par le biais de notre site internet seront prises en compte.

Stimulating. Motivating. Challenging. NAGRA, a digital TV division of the Kudelski Group provides security and multiscreen user experience solutions for the monetization of digital media. The company offers content providers and DTV operators worldwide secure, open, integrated platforms and applications over broadcast, broadband and mobile platforms, enabling compelling and personalized viewing experiences. As part of the Kudelski Group Data Analytics initiative, we are developing business performance solutions for major pay-TV operations around the world, powered by state-of-the-art machine learning and probabilistic algorithms. Would you like to join a nimble, focused and fast moving group within a well-established company? Wer are a team of techies, data crunchers, and business experts, willing to make a difference in a quickly changing industry - get in touch! Location:   Cheseaux, Switzerland Responsibilities We are looking for a dedicated Big Data Engineer to be responsible for: Design and implement data pipelines and ETL flows that will ingest huge amounts of data from diverse sources Closely work with data scientists and other software engineers to productize analytics and data models, clarifying requirements and ensuring high quality deliveries Stay on top of evolving technologies providing efficient design and improvements of the data architecture Requirements / Profile You have A Master’s or PhD degree in Computer Science, Computer Engineering, or related field of study, or similar work experience Strong knowledge of software development with experience in multiple languages. Strong in at least one of the following languages: Python, Scala or Java Experience in Data Modelling and working with ETL pipelines Experience with one or more of the following technologies: Spark, Kafka, Elasticsearch, Data Warehouses (i.e., Redshift) as well as SQL and NoSQL databases. Experience with Amazon AWS, Docker, CI tools, and/or DevOps An entrepreneurship spirit, being open to discuss ideas and solutions with the other members of the team Strong written and verbal communication skills Bonus points Experience in the domain of the Pay-TV industry Familiarity with Agile engineering practices Experience with recent technology trends, including Machine Learning or Analytics Experience in creating proof-of-concepts and/or rapidly prototyping ideas Strong written and spoken English. French or any other European language is considered a plus

Debiopharm Group™ is a Swiss-headquartered global biopharmaceutical group including five companies active in the life science areas of drug development, GMP manufacturing of proprietary drugs, diagnostic tools and investment management. Debiopharm International SA is focused on the development of prescription drugs that target unmet medical needs. The company in-licenses and develops promising drug candidates. The products are commercialized by pharmaceutical out-licensing partners to give access to the largest number of patients worldwide. For our Translational Medicine Department and within our Pharmacology and Screening team, we are looking for a Senior/Associate Principal Translational Scientist, Oncology The Pharmacology and Screening team determines how drugs work to inform and accelerate clinical development. Your main responsibilities: Works in matrix organization in close collaboration with other Translational Medicine functions (DMPK, Preclinical Safety and Diagnostics/Personalized Medicine) and the Clinical Research Development teams to characterize the pharmacological properties of drug candidates: Represents the Pharmacology and Screening function in the Translational Medicine Project Teams. May represent the Translational Medicine function in the global Project Teams and lead a Translational Medicine Project Team. Is accountable for designing and outsourcing (CROs or academic labs) the pharmacology studies, as well as analysing and reporting the results for a variety of oncology projects: In vitro/in vivo compounds selection and profiling, including off target characterization. Mechanism of action. In vivo proof of concept– PK/PD. Identification, method development/validation of clinical PD biomarkers. Contributes to preparation of the pharmacology sections of regulatory documentation (IDB, summaries for IND and IMPD, briefing documentation). May participate in interactions with Health Authorities. Opportunity to work in clinical study teams: Defines and manages the clinical PD studies (e.g. blood and tissue biomarkers), incl. data analysis and reporting according to GCP and GCLP. Collaborates with the Clinical Research and Development team. Participates in external scientific communications (publications, poster and oral presentations). Contributes to in/out licensing activities for the assets of the company. Evaluates the pharmacology package of new opportunities and may interact with potential licensees. Supports the IP department by contributing to the scientific sections of patent applications. Your profile: PhD in relevant expertise area or equivalent in biomedical engineering. In-depth expertise in preclinical pharmacology and oncology. At least 5 years of experience in drug development (experience in clinical dev. is a plus) Experience in the industry is a plus. Good understanding of related disciplines including histopathology, bioanalytics, PK and PK/PD. Excellent IT analytical skills incl. advanced graphical explorations (R statistical software and image analysis are a plus). Project management experience. Excellent team working skills. People management / leadership experience is desirable Strong interpersonal skill to communicate with external vendors and stakeholders. Fluent in English. Excellent communication and presentation skills (oral and written). Ability to influence through the matrix organization, demonstrated assertiveness and impact in communication. Debiopharm can offer you: An international and highly dynamic environment of a mid-size company. The opportunity to join a successful, family-owned, company, at the forefront of the most advanced scientific developments in the industry covering various therapeutic areas and modalities (small molecules, biologics, and radiopharmaceuticals). The possibility to work in a company in which people, innovation, and entrepreneurship are the fundamentals of its success.

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. Aquatic Risk Modelling Postdoc We invite you to help us shape the future of agriculture. To support this challenge, the Product Safety team is currently seeking an Aquatic Risk Modelling Postdoc in our Basel, Switzerland HQ office. The Aquatic Risk Modelling Postdoc will be a three years engagement where you will develop an indicator system for the environmental risk of crop protection measures on aquatic systems. This indicator will be a globally applicable digital tool and reflect local environmental conditions and agronomic practices In this role you will: Review Scientific literature on environmental risk indicators Develop environmental risk indicator for aquatic systems system Coordinate with environmental fate, ecotoxicology and environmental risk assessment experts Acquire & maintain scientific and technical modelling expertise Deliver and present relevant novel research (incl. scientific publications & conference presentations) Qualifications We are looking for: Critical knowledge and experience A good understanding of environmental fate, ecological & effect modelling along with current knowledge of risk modelling techniques A PhD degree in a relevant area of science Track record relating to one or more of the following areas:  environmental fate and ecotoxicology of chemicals, ecological modelling, ecotoxicological effects, environmental risk indicators, Bayesian Network Models, environmental models, agronomy models Experience in developing and applying models Ability to design, build and analyse environmental systems models Ability to analyse and interpret complex data Readiness for occasional international business travels Critical technical, professional and personal capabilities Commitment to achieve objectives individually and within a team Effective communication skills Strong interpersonal skills Ability to skillfully plan, organize and monitor performance to meet deadlines Motivation towards publishing in peer-reviewed literature Creative problem solving skills We Offer The opportunity to contribute to valuable and impactful work for the agriculture of the future A stimulating international environment -> #bringingplantpotentialtolife An open, multicultural and pleasant working environment with state of the art facilities Flat hierarchy and an open culture Please submit an online application in English via the link enclosed. With your up to date CV please include a motivation letter and university degrees. Lieu principal:  CHE-Basel-Bâle Emploi:  Management des Ressources Humaines

In this role You will work with business and software engineering teams to build data platforms from the ground up, driven by concrete business use cases You will guide teams on the end-to-end project lifecycle, covering the initial conception, business requirements, software architecture, technical lead, coaching, and flawless delivery You will provide technological and architectural consulting to our clients, create strategic roadmaps and advise on their execution You will support pre-sales on tender responses, proof-of-concept work and the design of modern data platforms, both on premise and in the cloud You will run group-wide thought leadership initiatives to advance our architectural practice and sustain our technical excellence What we offer A stimulating and professional working environment in a dynamic team with extensive expertise Exciting projects and challenging problems to solve using the latest technologies. Flat organizational hierarchies and cross-functional teamwork Close contact with customers in diverse industries A supportive culture with excellent opportunities for professional and personal development About your profile 6+ years of experience in designing and implementing large-scale software solutions Hands-on experience in architecting big data systems and analytical pipelines covering data collection, data preparation and storage, data analysis and serving to data scientists or business users Solid knowledge of integration patterns and best practices such as synchronous vs. asynchronous communications, RESTful APIs, messaging, publish-subscribe Deep understanding of distributed systems, real-time vs. (micro-)batch processing and related design principles and patterns Solid knowledge of data-centric patterns, data modelling, query optimization on several storage solutions among SQL databases, document stores, graph databases, time-series databases, data warehouses Experience with one or several distributed streaming / processing platforms such as Kafka, Spark or cloud-based alternatives Strong knowledge of best practices and tooling for CI/CD pipelines, DevOps, automation, agile methods, automated testing, code quality Knowledge of data management best practices; experience with data governance and catalog solutions is a plus Experience in productionizing Machine Learning models is a plus Strong computer science fundamentals such as algorithms and data structures A passion for pragmatic, elegant design Enthusiasm, creativity, flexibility, team spirit, and general awesomeness in software engineering Strong leadership and communication skills Fluent in French and in English. German would be a plus.

CROSS est une société de Conseil et d'Ingénierie, filiale du groupe Micropole, spécialisée dans les domaines de la   Transformation Digitale , du   Pilotage de la performance   et de la   Gouvernance des données . Présente en Suisse Romande depuis 1987, les 190 collaborateurs et collaboratrices qui la compose accompagnent ses clients depuis la réflexion stratégique jusqu'à la mise en œuvre de la solution et son support. Afin de renforcer nos équipes, nous recherchons pour un de nos clients à Genève un(e) : DATA GOVERNANCE MANAGEMENT CONSULTANT GROUP ANALYTICS PLATFORM MAIN RESPONSIBILITIES As a Data Governance Management consultant, you will assist the team in defining and implementing guidelines, processes and best practices in the group data governance tool. Based on existing governance framework, you will be responsible to create and animate a user community around ASG. This will include ASG committees, trainings for different categories of users and dedicated reporting RESPONSIBILITIES Manage projects and stakeholders. Create and animate a community of key users of the group data governance tool. Work with key stakeholders from security, architecture and business teams to define a user charter with a related internal certification. Define and organize trainings activities for users of the tool. Organize trainings for level 1 and level 2 support teams Build and promote a catalog of services for end-users EXPERIENCE REQUIRED Strong track record of implementation of a data governance tool within a bank Strong consultancy expertise to manage multiple levels of stakeholders and animate a communities of users. Experience with ASG or a data governance tool. Experience with change management. OTHERS The successful candidate will be required to reside in Switzerland (B Work permit > 3 years) Vos qualités personnelles feront la différence : éthique professionnelle rigoureuse, autonomie tout en ayant un esprit d’équipe, capacités d’analyse et de synthèse, écoute, créativité, sens du service, sens de la relation client, diplomatie, engagement... Chez CROSS, tout autant que votre CV et l’expérience que vous saurez mettre en avant, nous serons séduits par votre personnalité, la place que vous accordez aux relations humaines dans le travail et votre désir d’implication au sein de l’entreprise. Pour résumer, vous l’aurez compris, si vos compétences, votre désir de grandir à nos côtés et votre personnalité correspondent à notre projet d’entreprise, alors il y a de grandes chances que nous fassions route ensemble ! Donc, n’hésitez pas, venez nous rejoindre

One of Argyll Scott's retail clients is looking for a Lead Data Scientist to join them on a permanent basis, in Switzerland. They are offering a generous base salary +10% bonus, as well as upto 50% product discount and even more exclusive perks! What you will be doing- Apply data modeling and analytical pipeline to large data set Manage e2e lifecycle for advanced data Science products Prove Business impact by leading scalable data initiatives across different domains, Create and own the right set of metrics and audit mechanisms to track the performance of such initiatives Conduct thorough analyses on business problems, and formulate conclusions Provide leadership for Data Science domain, guide and inspire data Science team, identify new analytics opportunities and engage with business and technology partners Analytics Tracks: Marketing, Demand forecast, Consumer Lifecycle management, Pricing & Stock optimization, Channel Performances What you will need to apply - MSc or PhD in quantitative or scientific discipline ( Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics   or strongly related subjects) 5-7 years of proven experience in Data science initiatives in Retail space, with proven knowledge of bringing to live analytical solutions Good knowledge of data structures and technologies ( relational DB, file formats, NoSQL DB, etc. )related to Big Data and Cloud computing ( Hadoop, Map Reduce, Spark ) Ability to master few of the following languages:   Python, Java, Scala, R, Matlab, Octave , as well as advanced   SQL   knowledge Experience in managing Data Science team Full proficiency in technical and business English For more info please use the below details to reach out. Please do contact me on 0207 936 1007 or cwinnard@argyllscott.com for further info and a confidential chat for immediate consideration.

Junior Application Engineer / Business Analyst 100% | Baden Tasks Be part of a dedicated team which manages energy business applications Show your sense of responsibility and team player attitude in the DevOps team Get end to end expertise in automation and optimization of a growing international energy business Specify the strategy of the applications and coordinate between business stakeholders, developers, software vendor and hardware provider Gather business requirements, propose solutions, coordinate the decision process and control implementation and release Be part of the 24/7 support team Profile Bachelor or Master in IT, Engineering or similar Kean to learn and get work experience as an application owner Programming skills (any language) Ability to quickly learn new technologies and business processes Work experience in the energy sector (especially with energy data) is preferred Excellent analytical skills Strong interpersonal skills Fluency in English and German is a must No agencies please. Candidates to apply through our online system. Thank you. This position offers the chance to combine technical know-how with business understanding and experience the impact of the work directly. The role is ideal for a talented and ambitious graduate who wants to start his professional career in the energy sector and enjoys working on various tasks in an international environment and likes to take on a wide range of responsibilities such as programming and business analysis tasks. Benefits Contact Moritz Nauer Senior HR Manager Recruiting recruiting.trading@axpo.comInformation about the recruitment process