21 tööd pakkuda asukohas lausanne

The goal of this project is to develop an AI-based platform for the analysis of radiology images. This platform should be able to handle the different formats the images may have (chief among them is the DICOM format), as well as different resolutions and throughputs. Dimensionality of the images, whether 2D or 2D slices from a 3D stack, should also be integrated in the design. Then, analysis and machine learning tools should be made available through an interface. For example, feature selection algorithms, annotation tool, and classification models will be fully integrated. Finally, as it is destined to be used by radiologist, the platform should be easy to use, and the options offered should be self-explanatory. A use case that will be implemented is the classification of tumors at different stages and their segmentation in a given modality and for a given cancer type. Challenges: The development of such a platform is challenging due to its generic nature. Implementing a single platform able to handle multimodal images (CTscans, MRI, Xrays) is complex. In addition, the variety of cases, patients and imaging systems make the image analysis and machine learning parts extremely challenging. Finally, these datasets suffer from an inconsistent ground truth, which leads to error in the learning phases and performance evaluation of the models. Project applications: Computer-aided diagnosis, integration into hospital and pharma systems What you will learn: You will be a junior data scientist and software engineer, developing your skills in machine learning as well as software engineering, implementing the complete lifecycle of an applied AI platform Keywords: Machine learning, computer vision, software engineering, human-machine interface. OBJECTIVES: In this project, the goal is to: Develop a platform to enable and AI-based analysis of radiology images that is accurate, fast and easy to use. What we offer Join our team as intern and you will find a young, dynamic and culturally diverse working environment. About your profile Required: machine learning, computer vision, deep learning, software development in Python Knowledge of UX development, Docker is a plus

Description The barometer 2019 of the main concerns of young Swiss citizens is clear: You, the representatives of generation Y and Z, want to be better informed about what your future income will be thanks to the 3 pillars of the Swiss pension system. Digitalization combined with Artificial Intelligence, Customer Analytics, Process Analytics and Machine learning allows for greater transparency, better communication and a modern and disruptive approach to managing future events in your life as a Swiss citizen. Multiple Challenging Steps: The first step will be to see how to integrate our AI initiative in the Solution based on the final vision of the product. The second step will be to define the necessary learning process in order to provide an efficient profiling base required to support predictive analysis and recommendation. The third step will be the definition of our recommendation engine based on our profiling (based data). This recommendation engine will be use machine learning as well in order to support more complex use case over the time. This represent the next major step for our solution moving from classic Software to an Artificial Intelligence Driven Software. Our Final Customer will use our software to operate their work as they were used to do it, but they will be supported and advised by our software to optimize their efficiency. Philosophy: contribute to improve the visibility and understanding of Pension and Social Insurance for young Y, Z generation. Keywords: find the right balance between the usage of «democratized AI» (know your tools) and Data Scientists (know your data), deep learning, advanced case management, modern support in decision making. In this role Objectives The goal of the internship is to participate to the definition of futures AI principles and functionalities our Product will offer. This will be done by adding artificial intelligence dimension to one of our Software aimed to offer a significant support in the decision making of pension and social insurance experts. What we offer INTERNSHIP OR MASTER THESES   in Lausanne. Join our team as intern and you will find a young, dynamic and culturally diverse working environment. About your profile Willing to understand business needs and context IT – engineering Skills mainly to understand Architecture and Solution Development Skill; Machine learning; Artificial Intelligence; Case Management Software engineering: Java, Machine learning, Artificial Intelligence libraries, Case Management tools

Description For business applications, fast access to data is crucial. At the same time, they typically contain complicated business rules and logic, built on top of frameworks such as Hibernate to access data. To satisfy performance requirements, developers will often spend time adjusting or rewriting data queries and various parameters, or adapting the logic itself, until it is fast enough. This causes many problems: The code becomes more complex, and harder to maintain It is short-lived: optimal code is a delicate balance, and small changes by future maintainers may cancel the performance gain It mixes technical details and business logic, so the meaning is obscured It wastes the developer’s time Furthermore, optimisation happens at the wrong time and place: developers tend to optimise performance where it’s easiest to make changes: in their development environment, which won’t match production setup. optimisation obviously happens before deployment to production. But data and usage patterns change over time, and so should data access strategies if we want to keep them performant. This optimisation task therefore must be automated; however, the tricky point is that we typically know after loading and processing is complete what data was required, and what would have been the best way to obtain it. In this role Objectives During your internship, you will develop a transparent layer on top of a database access framework such as Hibernate, that must learn how to correlate environment parameters (such as web request parameters, the current time and date, or the user’s role) with data access patterns, and then modify application requests to match expected requirements. It must be able to monitor performance in real-time and adjust query parameters accordingly, to minimise execution times. The purpose is then to “cleanse” manually-written optimisations out of a typical business application and let your optimisation layer re-discover those optimisations (or better ones!) independently. We suggest the code be written in Java or in another JVM language such as Kotlin. What we offer INTERNSHIP   in Lausanne. Join our team as intern and you will find a young, dynamic and culturally diverse working environment. About your profile Software development Interest in machine learning

In our journey to impact on patients lives, the Integration & Release (IR) Team is looking for a   Senior Software Test Engineer. Mission: In a continuous effort toward quality, you will be responsible for adding and maintaining automated GUI tests for our SOPHiA DDM platform. You will translate product requirements into maintainable test cases using a combination of Java 8, Test FX, Cucumber and JIRA. As you acquire more experience your focus will shift on the engineering and enhancement of the testing framework, which must be capable of scaling up with the Acceptance Test Driven Development methodology of SOPHiA GENETICS. Qualifications: You are passionate about software testing and you have an innate talent for breaking things You have experience modelling a complex system and suggest architectural improvements MSc or PhD degree in Computer Science or related field +2 years experience in test engineering or test automation +5 years working experience in an OOP language, Java a big advantage Knowledge of test frameworks like JUnit, NUnit, Cucumber, JBehave, GTest, cppunit is an advantage You write scripts in your daily work to boost your efficiency You love working in a stimulating international environment You are at ease communicating with multidisciplinary teams You have good communication skills in English, enough to be comfortable in an international environment Let’s talk about methods: Agility on a daily basis; Good code practices (clean code, Software Craftsmanship, design pattern, TDD, DDD, etc.); Collaborative work: code review, peer programming, merge request; We offer A competitive compensation package A flexible and friendly working environment with a collaborative atmosphere Fantastic office locations in Switzerland, France, and USA An exciting company mission that brings together science and technology to directly impact the lives of patients with life threatening illness. A fast-growing company with plenty of opportunity for personal growth and development A hard technical challenge to solve with exciting modern technology - cloud computing, Big Data, DevOps, machine learning Start : ASAP (or as agreed) Contract type:   permanent full-time Application process If you think you fit this position, please send a CV and a cover letter. Please note that incomplete applications will not be considered. After an initial screening process, candidates will be invited for remote interviews. Selected candidates will then be invited for personal interviews.

My client is a prominent and highly-regarded international IT consultancy, working with clients across all major industries. They have an urgent vacancy for a Big Data Lead Engineer for their end-user client in Lausanne, a globally-recognised investment bank. This role will run for at least six months and will pay up to 450CHF per day. The following skill set is required: Python ideally, although Java will be considered FinTech experience Big Data tools experience - Kafka, Spark, Pig, Hive, Hadoop etc AWS/Azure experience is essential You will be working on a number of exciting data projects, using cutting-edge technology to solve complex interesting problems. Our client is seeking the best people to join their data & analytics capability and you would get to work alongside amazing talent already working in the business. Valid current permission to work in the EU is required. If you do not have this permission, please do not apply for this role. If you like the sound of the role above, please send me a CV for immediate consideration

Chez Extia, c'est   "D'abord qui, ensuite quoi !" D’abord Qui ? Vous êtes autonome, rigoureux(se) Vous êtes force de proposition dans un contexte d’équipe Agile Les bases de données n’ont aucun secret pour vous Vous êtes avide de nouveaux challenges et impliqué(e) dans votre travail Ensuite quoi ? Accompagner les clients sur leur transformation digitale Développer sur des langages Big Data Réaliser la phase de tests Rédiger des documentations techniques Rechercher & conseiller sur de nouvelles technologies Maitriser les environnements techniques : PySpark, Scala, Hadoop, Impala, Oozie, Hive, Jenkins, Git Vous avez des connaissances en analyse fonctionnelle et technique dans un environnement Big Data Connaître les outils suivants : Kafka, Flume, Linux/Unix, SQL Profil recherché De formation Bac +5 en informatique, vous justifiez d’une première expérience réussie en tant que data engineer. En rejoignant Extia, vous faites le choix d'intégrer une entreprise jeune, dynamique, et très proche de ses salariés, dont l'objectif est d'allier évolution de carrière et épanouissement personnel. Vous recherchez en Suisse. Le mieux, c'est qu'on en discute ensemble… A vos marques, prêt… candidatez ! #LI-MTE09

Evooq is a Swiss investment and technology partner of banks, independent asset managers and pension funds. Active in the market since 2011, Evooq’s portfolio of solutions has been developed to empower advisors - from derivative financial instruments to risk intelligence, investment advisory and monitoring tools and more. To date, clients of leading financial institutions have utilized Evooq’s products in the Swiss, EU and Asian markets. We are a human sized company focused on delivering innovative software products that change how wealth management services are delivered to clients. We are looking for smart, pragmatic, clear communicators who like to solve problems with original thinking, drive features, and are able to work as part of an agile and cross-functional team in order to make us collectively stronger. Front-end Software Engineer (Lausanne) A Front-end Software Engineer at Evooq leads the delivery of high-impact front-end applications, ensuring that the highest engineering standards are met. They are experts in web programming and web application software architecture, with the ability to make technical decisions on the best frameworks and tools to use to achieve business outcomes. We are looking for smart, pragmatic, clear communicators who like to solve problems with original thinking, drive features, and are able to work as part of an agile and cross-functional team, in order to make us collectively stronger. Candidates must have or be eligible for a work permit in Switzerland. What we expect from you Experience developing applications with JavaScript ES2015, TypeScript, HTML5, SCSS. Strong programming skills Knowledge in frontend frameworks (especially VueJS ) Knowledge of JavaScript ecosystem (Webpack, Node, Karma, Jasmine, etc.) Putting focus on code quality, cleanliness and robustness Intensive practice of testing Fluency with Git Swiss or European citizenship, or an available work permit for Switzerland We also value Knowledge of the financial sector, wealth management Interest in functional programming Experience with modern Java, RESTful APIs, gRPC and microservices architecture, Docker, Kubernetes, Postgres, MySQL, Jenkins What we offer Friendly, international and highly experienced team Flat hierarchy and open communication Flexible working hours Location close to the train station and the city center Your choice of hardware Note to agencies:  we do not accept unsolicited CVs

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.

We at SOPHiA GENETICS want to contribute to make the global healthcare system more sustainable. It is our strong belief that digital technologies are the key to unlocking the era of Data-Driven Medicine, where secure data pooling and knowledge sharing will be extremely valuable for patients. By helping healthcare professionals leverage their expertise and work together as a community, patients all over the world can receive equal access to better diagnoses and treatments. The role encompasses: As our user base is growing and business topics are becoming increasingly complex, we are looking for an experienced and driven BI Analyst to support our team making data-driven decisions. Align with stakeholders on analytical requirements and data needs Define and implement reports for internal and external consumers Collaborate with all teams to define and track relevant business goals Maintain a catalogue of metrics and KPIs Create understandable and insightful data visualizations Continually strive to turn data into insights We are looking for somebody who has: Quantitative skills and and analytical mindset with academic training in Computer Science, Engineering, Data Science, Statistics, or equivalent practical experience An understanding of SaaS metrics and good public benchmarks 2+ years in delivering and influencing business processes using data analysis Previous experience with statistical analysis using SQL software Proficiency with data visualization tools, e.g. Looker or similar for developing interactive reports, pivot tables, analyses, etc. for users with non-technical background Excellent communication skills in English Ideally you also have: Previous experience in the Healthcare or SaaS sector Previous experience using Power BI or looker Knowledge of Dynamics 365 and Salesforce Basic knowledge in Machine Learning, Predictive Modeling and/or Data Processing You'll fit in with our company culture if you: Have a bias for action; the world is complex and unpredictable place so starting, releasing, and getting feedback iteratively is the only possible path to success Strive to be articulate and humble, make the complex, simple, present ideas openly, accepting that being wrong is part of the process Are not afraid of tackling problems that others deem impossible Adapt easily to change, and enjoy a fast-paced environment Location:   Lausanne - Switzerland Starting : ASAP

In our journey to impact on patients lives, the Integration & Release (IR) Team is looking for a   Senior Software Test Engineer. Mission: In a continuous effort toward quality, you will be responsible for adding and maintaining automated GUI tests for our SOPHiA DDM platform. You will translate product requirements into maintainable test cases using a combination of Java 8, Test FX, Cucumber and JIRA. As you acquire more experience your focus will shift on the engineering and enhancement of the testing framework, which must be capable of scaling up with the Acceptance Test Driven Development methodology of SOPHiA GENETICS. Qualifications: You are passionate about software testing and you have an innate talent for breaking things You have experience modelling a complex system and suggest architectural improvements MSc or PhD degree in Computer Science or related field +2 years experience in test engineering or test automation +5 years working experience in an OOP language, Java a big advantage Knowledge of test frameworks like JUnit, NUnit, Cucumber, JBehave, GTest, cppunit is an advantage You write scripts in your daily work to boost your efficiency You love working in a stimulating international environment You are at ease communicating with multidisciplinary teams You have good communication skills in English, enough to be comfortable in an international environment Let’s talk about methods: Agility on a daily basis; Good code practices (clean code, Software Craftsmanship, design pattern, TDD, DDD, etc.); Collaborative work: code review, peer programming, merge request; We offer A competitive compensation package A flexible and friendly working environment with a collaborative atmosphere Fantastic office locations in Switzerland, France, and USA An exciting company mission that brings together science and technology to directly impact the lives of patients with life threatening illness. A fast-growing company with plenty of opportunity for personal growth and development A hard technical challenge to solve with exciting modern technology - cloud computing, Big Data, DevOps, machine learning Start : ASAP (or as agreed) Contract type:   permanent full-time Application process If you think you fit this position, please send a CV and a cover letter. Please note that incomplete applications will not be considered. After an initial screening process, candidates will be invited for remote interviews. Selected candidates will then be invited for personal interviews.

Company Description MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident. Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze. Job Description The MindMaze Neuroscience team is searching for a full-time R&D software engineer specializing in virtual reality and/or game development. As part of a multidisciplinary team, you will work on several research projects to develop digital therapies for rehabilitating cognitive function in neurological conditions. Your mission To design and implement interactive, multimodal exercises/games in VR/AR & MindMotion platform using Unity3D. To run studies with healthy participants and neurological patients. To analyze multimodal (behavioral, physiological, game performance) data. Writing documentation and reports. To support you, MindMaze will: Provide an international collaborative work environment Provide mentoring Allow flexible employment terms and conditions Qualifications Skills that we look out for are among Master's degree in Computer Sciences or Computer Engineering Strong skills in software programming Excellent knowledge of Unity3D and C# 3-year experience in game design and development Experience with Github Experience with agile software development methods (Scrum, etc.) Fluent in English - level B2 minimum Icing on the cake Experience in Data Science Experience in Healthcare Industry

Intervention sur Suisse Romande – Bureau de Lausanne - CDI Consultant(e) en Master Data Management 80 – 100% Le ou la consultante en Master Data Management que nous recherchons doit disposer d’une expérience significative sur un projet MDM. Tu connais les solutions Talend MDM, Semarchy ou Orchestra Network et tu maîtrises les concepts de modélisation de bases de données. Si en plus tu as travaillé avec l’ETL Talend alors tu as ta place chez Synotis ! Tes fonctions : Data Integration, Business Intelligence, ESB, MDM… sont autant de projets à forte valeur ajoutée sur lesquels nous intervenons. Rejoindre Synotis, c’est collaborer sur des projets ayant des problématiques variées, sur lesquels tu seras, entre autres, amené (e) à : Identifier et intégrer les besoins métiers de nos clients Participer à l’élaboration de l’architecture à mettre en oeuvre Développer et / ou maintenir des flux de données opérationnelles et / ou décisionnelles Participer à la validation des flux développés Délivrer les développements en environnement de production Ton profil : 3 à 5 ans d’expérience Passionné(e) par la Data Rigoureux(se) Autonome Tu communiques facilement en français et en anglais (écrit et oral) et l’allemand serait un plus ;) Tu maîtrises les méthodes agiles dont SCRUM Profil recherché : Bachelor minimum Tes compétences ainsi que ta rigueur, ton autonomie et ton esprit d’initiative seront appréciés et encouragés. Ta force de proposition et ta capacité à communiquer constitueront aussi de réels atouts pour intégrer notre équipe.

Over the past three years, Philip Morris International (PMI) has made a dramatic pivot away from the marketing and sales of combustible cigarettes, and moved towards its Reduced-Risk Product (RRP) portfolio, focusing on its flagship product, IQOS. This launch of this product is PMI’s step forward to creating a smoke-free future for legal age consumers who continue to enjoy tobacco, but are seeking smoke-free alternatives. All of this has been accompanied by an organization-wide transformation in ways of working, culture, and strategy, with emphasis on digital, consumer and collaborator strategies. Do you look for ways to learn and grow in an international environment? Do you want to build a remarkable career? Are you up for a 6-month challenge starting as of July/August 2019? Then apply now, we need you: Intern in Machine Learning – Image Processing You have the following skills and qualifications: Currently studying for your Master degree in Computer science or related area Familiarity with ML frameworks for object detection (YOLO, PyTorch, Keras, Tensorflow, etc.) Solid programming skills in Python, Knowledge of Scrum, TDD Unix shell scripting Gitflow workflow A desire to learn and strong motivation to succeed Responsibilities: Use ML techniques to analyze stream of images to detect specific objects in them Identify the most effective object detection techniques Develop an approach to address labelled data bottleneck Assess the quality of the devised analytical solution Project Description: We are looking for a Machine Learning Intern to join PMI Data Science Team. In this project we aim to investigate various deep learning architectures, pre-trained models and API's to extract insights from visual data. For example, given a stream of pictures, a suite of purpose-built models can extract various types of contextual information using object detection and segmentation models, e.g.: ‘person’, ‘male’, ‘female’, ‘group’, ‘garden’, ‘bar’, ‘beach’, ‘drink’, ‘color spectrum’, ‘brands’, etc. Objective is to leverage on the existing models & data pipelines and explore the visual aspect of the image data. Extracted data related to visual entities will be made available for other data scientists & business users for further exploration. References: Mask R-CNN for object detection and segmentation https://github.com/matterport/Mask_RCNN A great starting point for all sorts of pre-trained models and papers https://modelzoo.co/ Philip Morris International: Building a Smoke-Free Future Philip Morris International (PMI) is leading a transformation in the tobacco industry to create a smoke-free future and ultimately replace cigarettes with smoke-free products to the benefit of adults who would otherwise continue to smoke, society, the company and its shareholders. PMI is a leading international tobacco company engaged in the manufacture and sale of cigarettes, smoke-free products and associated electronic devices and accessories, and other nicotine-containing products in markets outside the U.S. PMI is building a future on a new category of smoke-free products that, while not risk-free, are a much better choice than continuing to smoke. Through multidisciplinary capabilities in product development, state-of-the-art facilities and scientific substantiation, PMI aims to ensure that its smoke-free products meet adult consumer preferences and rigorous regulatory requirements. PMI's smoke-free IQOS product portfolio includes heated tobacco and nicotine-containing vapor products. As of Dec. 31, 2018, PMI estimates that approximately 6.6 million adult smokers around the world have already stopped smoking and switched to PMI’s heated tobacco product, which is currently available for sale in 44 markets in key cities or nationwide under the IQOS brand. For more information, see our PMI and PMIScience websites.

Company Description Nexthink is a global leader in Digital Employee Experience. Our product allows enterprises to create highly productive digital workplaces for their employees by delivering optimal end-user experience. Through a unique combination of real-time analytics, automation and employee feedback across all endpoints, Nexthink helps IT teams meet the needs of the modern digital workplace. Headquartered in Switzerland, Nexthink also has offices in France, UK, Germany, Spain, UAE, Saudi Arabia, Australia and the US. Our growing team of Nexthinkers is proud to be making the digital work lives of seven million employees across 1,000 customers more productive. At Nexthink, we believe actions are stronger than words when it comes to diversity, inclusivity, and equity in the workplace. Nexthinkers are multinational and multilingual, and come from all walks of life. We are committed to hiring a genuine representative workforce that can help us create solutions and foster innovation for the modern digital employee experience. Join us today! Job Description Inside the Nexthink Engineering department, the team you will be joining builds what we call the Collectors: the endpoint agents that run on the system of the millions of employees mentioned above. In a nutshell, Collectors extract meaningful information about what's going on the OS, interpret it and feed it to our amazing data analytics systems. Challenge #1: make the list of information impressive, growing and increasingly difficult to get and crunch Challenge #2: keep the smallest footprint possible on each machine Challenge #3: all of the above, but as cross-platform as possible Our engineers are excited to take on broad and non-conventional problems and are able to narrow them down to a relevant shape and function. They constantly come up with ideas to improve our product, they prototype them, then see them through in production and measure their impact. All of this with the very high standards of quality, performance and security that are part of our DNA. Qualifications You are an ideal candidate for the job if you: have at least 5 years of experience in software development are very fluent in C and C++, preferably up to date with the latest iterations of the standard are passionate about researching how things work under the hood have a very good demonstrable understanding of Unix-like OS internals ( if you have experience with the macOS-specific system programming and development environment, that would be a very big plus) have a very good ability to adapt to different OS and development environments - we are one team, and we develop cross-platform consistently write concise and very well tested code are able to decisively pitch in on the testing automation strategy are passionate about continuous integration and delivery are able to navigate and debug a complex architecture code - using the tools available and, of course, your very strong attention to details communicate clearly and concisely in English Sounds challenging? Join the team! Additional Information This is an exceptional opportunity to join a fast-growing, successful and innovative company. Nexthink allows you to thrive in a unique work environment where the emphasis is on excellence, innovation, openness and collaboration.

Evooq is a Swiss investment and technology partner of banks, independent asset managers and pension funds. Active in the market since 2011, Evooq’s portfolio of solutions has been developed to empower advisors - from derivative financial instruments to risk intelligence, investment advisory and monitoring tools and more. To date, clients of leading financial institutions have utilized Evooq’s products in the Swiss, EU and Asian markets. We are a human sized company focused on delivering innovative software products that change how wealth management services are delivered to clients. We are looking for smart, pragmatic, clear communicators who like to solve problems with original thinking, drive features, and are able to work as part of an agile and cross-functional team in order to make us collectively stronger. (Back-End) Software Engineer A Software Engineer at Evooq works to deliver high-impact product features in our modules, applications, and services, whilst ensuring that the highest engineering standards are met. They are experts in programming, software, data and systems design. We are looking to hire people who can collaborate on large projects with discussion, review and knowledge sharing to drive features and make us collectively stronger. We are looking for the following specific skills and experience but are happy to talk to people who are bright and have the ability to learn fast. Cloud: AWS, GCP or Azure Orchestration: Docker, Kubernetes Languages: Java, JavaScript Tools: TDD, junit, git, maven Datastores: Postgres Optional but valuable skills and experience include: Frontend development: JavaScript, TypeScript, Angular 7 Domain knowledge: financial products, wealth management Agile delivery experience We are looking for smart, clear communicators who like to solve problems with original thinking, and are able to work as part of a cross-functional team. Start the conversation by clicking “Apply now”. Candidates must have or be eligible for a work permit in Switzerland. Full-time in Lausanne

The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries. Data Scientist (W/M) Your mission : The SCITAS platform provides EPFL researchers and partners with access to infrastructure and expertise in High Performance Computing (HPC). SCITAS also contributes to research and development activities so as to maintain the EPFL's reputation as a leading research facility. SCITAS is looking for a   Data Scientist (W/M)   to lead the SKA Data Science activities and related astrophysical research developed at EPFL. Main duties and responsibilities include : Lead the EPFL data science activities related to the SKA project; Interact with the EPFL laboratories interested in the SKA project (in particular: astrophysics, signal processing, data science, machine learning, …); Develop and implement image reconstruction and source identification in the SKA pipeline as well as SKA-precursor experiment in particular HIRAX, ASKAP and MeerKat in a scalable way; Build partnerships with other Swiss universities, Swiss industries, CSCS and SDSC to develop a major Swiss contribution to the Science Data Processor consortium of SKA; Participate in student’s education and coaching; Report to the SCITAS Director and LASTRO Director. Your profile : You are a team leader, you know how to inspire people and build trust You are enthusiastic about radio astronomy and data science You have an astrophysics research background You have a strong HPC expertise You have experience with scalable software development You have a good knowledge of English, and French or German. We offer : A dynamic, interdisciplinary and international working environment An internationally visible and rising academic institution in HPC and Astrophysics A privileged contact with state-of-the-art technological developments Access to many continuing education courses. Start date : February 2020 Term of employment : Unlimited (CDI) Remark : Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.

Are you about to graduate and would like to become a data science professional? Come join ELCA’s competitive Data Science Program! In this role You will actively participate in innovative data science projects with our main clients in Switzerland. Examples of areas you might work on: Natural Language Processing and Predictive Maintenance. You will learn through concrete projects, work closely with our clients and become a data science professional You will develop your skillset in a highly sought-after field and get exposure to what the market needs You will actively participate in knowledge and experience sharing meetings with the team What we offer A permanent contract with a three-year artificial intelligence program in which participants will integrate several industrial projects in the data science and data engineering fields Relevant trainings will be offered as part of the curriculum A very pleasant working environment in a dynamic and highly motivated data science team Coaching by our data science lead experts About your profile You are a strong fresh master’s graduate in the data science, computer science, communication systems or equivalent fields, or you have a master’s degree in one of these fields and have one or two years of professional / research experience. You have successfully taken at least one machine learning and data analysis courses Certifications from renowned online courses such as Stanford’s are valid Minimum required GPA in the relevant courses >= 5/6 Minimum required GPA in projects (semester and Master thesis) >= 5/6 Your team spirit is amongst your strongest qualities Your location base: Lausanne but you must be willing to travel to Geneva or Bern on a regular basis You must submit your diplomas and grades with your application Fluency in English and in either French or German

The future of sustainable healthcare starts now. At SOPHiA GENETICS, our mission is to bring data analytics solutions to market and support healthcare professionals by maximizing the power of Data-Driven Medicine. Ranked as one of the 50 Smartest Companies in the World by the MIT Technology Review, we are a fast-paced and rapidly growing health tech company with a team of world-renowned experts in the fields of AI, life sciences and information technology. We have developed SOPHiA™ Artificial Intelligence, the widely-used technology for Data-Driven Medicine, already deployed in over 850 world-leading hospitals to analyze 1 genomic profile every 4 minutes and it is just the beginning… Big missions require big talents. We’re looking for bright, passionate individuals to join our multi-cultural dynamic team. About you A true go-getter, you relish the opportunity to grow without limits. As part of the sales team, you will be responsible for acquiring new accounts as well as managing existing ones within your territory (Grand Est France and Switzerland). You will travel frequently across your territory and to our Headquarters in Lausanne, Switzerland. As an adaptive and persistent sales challenger, you have no problem navigating diverse teams within leading healthcare organizations in order to win opportunities and build long-term relationships with clients. You’re the type of person who can talk to anyone, anywhere and in any situation. Of course, you will have plenty of support as well. Our team of technical specialists from all over the world will leverage our network within the clinical research field to help make sure you can achieve even the most ambitious goals. Our focus is on building lasting partnerships. If you’re the type of person who anticipates the customer’s needs and takes pride in helping them provide better solutions to patients, this could be the role for you. Mission Spearhead the growth of the Data-Driven Medicine revolution and be a part of the future of sustainable healthcare. Align the sales process to the customer’s buying process from prospection to close. Organize and prioritize prospects based on customer needs to go beyond transactional sales to become a true strategic partner. Communicate with clarity, purpose and emotion to build a genuine connection with prospects and customers. Advocate for your customers to ensure that they have everything they need. The next step Does this sound like you? Great! Send us your resume and cover letter today. Please note that incomplete applications will not be considered. Legal authorization to work in the Australia is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Qualifications and experience 2-3 year’s experience in a similar sales position A Bachelor degree in Sciences is a must, a Master or PhD will be an advantage. Excellent communication skills, including experience communicating complex scientific principles in simple terms. Previous experience working as part of a team to develop the company’s customer base and provide a first-class experience to clients, preferably within the clinical, clinical research, biotechnology, or medical technology markets. SOPHiA GENETICS is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable law.