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Senior/Principal Statistical Programmer SAS + R (Remote) Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Principal Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. Position Overview: This position reports to the Director, Biostatistics and Programming in the FSP Services business unit in Cytel. The Principal Statistical Programmer works independently with only concept level instruction and very little supervision, tracks progress, and provides expert technical support to team members. We are looking for a highly experienced senior statistical programmer who will work on clinical development programs on different therapeutic areas and participate in overseeing CRO programmers to ensure that data summaries are delivered in a consistent, high-quality manner. This individual will be responsible for implementing all reporting and analysis activities for the Sponsor clinical trials. As a Principal Statistical Programmer, your responsibilities will include: Generate SDTM, ADaM specifications, datasets, reviewer's guide and define.xml files for multiple studies Develop SAS programs which generate datasets, complex listings, tables (including those with descriptive and standard inferential statistics in collaboration with a Statistician), and complex graphs Deliver high-quality statistical programming results including developing, validating, and maintaining SAS and/or R programs tailored to clinical development programs' needs Participate in overseeing CRO's statistical programming deliverables for multiple clinical studies to ensure high-quality and meet the pre-specified timelines Support the preparation of clinical study reports, regulatory submissions, publications, annual DSUR, and exploratory analyses Understand and follow FDA regulations which affect the reporting of clinical trial data. This includes good clinical practice and guidelines for electronic submissions. Contribute to the creation, maintenance, documentation, and validation of standards for programming tools, outputs, and macros Participate in the development of CRFs, edit check specifications, and data validation plans Provide review and/or author data transfer specifications for external vendor data Collaborate with internal and external functions (e.g. CROs, software vendors, clinical development partners, etc.) to ensure meeting project timelines and goals * Provide review and/or author SOPs and/or Work Instructions related to statistical programming practices Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have: At a minimum bachelor's degree in computer science, data science, mathematics, or statistics major preferred 7+ years of experience as a Statistical Programmer on a Biotech/Pharma Clinical Development Biometrics Team or with a similar team and experience supporting drug development, medical device development, or intervention studies Exceptional SAS programming skills and expertise in the development and implementation of statistical programming procedures and processes in a clinical development environment Extensive applied experience of CDISC standards (SDTM, ADaM, and Define.xml), medical terminology, clinical trial methodologies, and FDA/ICH regulation Experience supporting regulatory submissions, interacting with the FDA and/or global regulatory authorities Must be able to work independently * Outstanding communication skills (written and verbal) and strong leadership skills Preferred Qualifications (nice to have) Prior work experience with pharmacokinetic data and the neuroscience field, proficiency in languages or tools other than SAS (e.g., R, Python, and Java, Shiny, Markdown, Unix/Linux and git) Cytel Inc. is an Equal Employment / affirmatiive action employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law. #J-18808-Ljbffr

Akkodis is seeking a Dataiku Specialist to enhance its Data & Analytics teams. This role contributes to the evolution of data capabilities within a leading international private-banking organization. As part of a Business Intelligence and Data Science team, you'll drive data platform adoption and support the development of a Dataiku Competence Centre, all while working in a hybrid model combining onsite and remote work flexibility. #J-18808-Ljbffr

BASE life science in Spain is seeking a proactive Data Consultant to join our team. You will work at the intersection of technology, business, and the life sciences domains, focusing on data migration projects and compliant execution. You will use Python, SQL, Excel, and tools like Jira/Confluence, VS Code, and Azure DevOps to analyze data, document approaches, and support project delivery through collaboration with clients and colleagues. #J-18808-Ljbffr

McKinsey & Company is seeking a Data Science Specialist to join our OptimusAI initiative in Brussels. You will collaborate with a multi-disciplinary team to drive client performance across energy, quality, and capacity using advanced analytics. You will work with engineers to build innovative models and codify best practices, shaping the product roadmap. Expect significant ownership from day one and opportunities to travel globally. #J-18808-Ljbffr

Precision Medicine Group is seeking a Principal/Senior Clinical Scientist with extensive oncology experience to lead clinical science across assigned oncology, rare diseases, and autoimmune programs. You will oversee data review, interpretation, and data cleaning to ensure high-quality, protocol-compliant data and participant safety. You will guide e CRF design, risk-based quality management, and collaboration with Medical Monitoring and study teams while supporting study deliverables within #J-18808-Ljbffr

A gaming studio in Barcelona is seeking a Principal Applied Scientist to connect science with production impact. Responsibilities include modeling user behavior, optimizing ad monetization, and designing experiments. Candidates should have an advanced quantitative degree and significant experience in data science, particularly with production ML systems. Attractive perks include competitive compensation, relocation packages, and unlimited vacation. #J-18808-Ljbffr

European Space Agency is seeking an Archive Scientist for ESA planetary missions to define and manage the scientific archive, maximize mission data use, and supervise data products. You will collaborate across mission scientists, archive leads, and the ESDC team to ensure high-quality science data delivery and outreach. The role requires a Ph D in a relevant domain and at least one year of related experience, with opportunities to engage in international projects and expose you to ESA missions #J-18808-Ljbffr

eDreams ODIGEO is seeking a Data Scientist to join our Barcelona Data Science Team in a hybrid capacity. You will design and implement advanced analytics, build AI-powered solutions, and work on initiatives like fraud detection, recommendations, personalization, and optimization of flight combinations. You will contribute to decisions that drive value for millions of customers globally. The role offers exposure to cutting-edge big data technologies and a chance to impact multiple business areas #J-18808-Ljbffr

Smadex is seeking a Senior Data Scientist in Barcelona to work closely with ML and Product teams. You will analyze large datasets on mobile user behavior and translate insights into product and ML strategies, collaborating with business and technical colleagues. This full‑time, hybrid role (2 days from home) is based in Barcelona or relocation‑eligible. You should have 3+ years in data science or data analytics in programmatic ad tech, a quantitative degree, and strong Python/SQL skills, plus #J-18808-Ljbffr

Precision for Medicine is seeking a Principal/Senior Clinical Scientist to lead the clinical science function across Oncology, Rare Diseases, and Autoimmune programs, from study start-up through database lock, ensuring data quality and participant safety. You will provide scientific and indication-specific expertise to support data collection, review, and cleaning, collaborate with cross-functional teams, guide eCRF design, RBQM, and study deliverables, and help ensure timely, compliant trial #J-18808-Ljbffr

Syneos Health Commercial Solutions is seeking a Regional Medical Science Liaison (MSL) to serve as the primary field-based scientific contact for healthcare providers and investigators. The MSL will deliver medical education, facilitate data exchange, and support research activities across a large regional network, with flexibility to assist other countries as needed by the organization. The role requires advanced medical training (MD/PhD/PharmD) and experience in an MSL function, preferably in #J-18808-Ljbffr

PAION Pharma in Spain seeks an experienced Medical Science Liaison (MSL) to drive scientific exchange with hospitals, conferences and internal teams. You will expand expert networks, present data, and support the Spain KAM within the company strategy. Requirements include a medical/scientific degree, 3–5 years in Medical Affairs, fluency in Spanish and English, and willingness to travel up to 50%. Ideally based in Madrid or Barcelona metro areas with strong scientific writing skills. #J-18808-Ljbffr

Biogen is seeking a field-based Medical Science Liaison based in Barcelona to provide scientific leadership and education across the NorthEast region of Spain. The role requires strong engagement with HCPs and key stakeholders, with minimum 60% field dedication and no direct reports. You will deliver high-quality medical information, support research/data-generation initiatives, and map scientific stakeholders to inform cross-functional medical strategy. #J-18808-Ljbffr

IQVIA is seeking a Programmer (SAS & R) with German to support health technology assessment and market access activities in Germany. This Spain-based, hybrid role emphasizes statistical programming for AMNOG dossiers and clinical data analysis. Ideal candidates hold a Master’s or PhD in biostatistics or data science with >2 years of SAS programming and experience in CDISC SDTM/ADaM, English and German fluency, and a passion for automated analysis workflows. #J-18808-Ljbffr

IQVIA in Madrid, Spain seeks a Programmer (SAS & R) with German to support health technology assessment and market access activities for Germany. The role focuses on statistical programming for Module 4 analyses and data-driven decision support. You will collaborate with Market Access, HEOR and EU-HTA teams, apply CDISC SDTM/ADaM standards, and contribute to automation of analysis workflows. Fluent German and English are mandatory; a strong background in biostatistics or data science and 2+ #J-18808-Ljbffr

IQVIA in Madrid, Spain is seeking a Programmer (SAS & R) with German for a Spain-based hybrid role. You will contribute to German AMNOG dossiers, programming statistical analyses for Module 4, and analyze clinical trial data, focusing on efficacy and safety endpoints. The role requires a master’s or PhD in biostatistics or data science, experience with CDISC SDTM/ADaM, and German plus English proficiency. You will collaborate with Market Access, HEOR, and Medical Affairs teams to deliver #J-18808-Ljbffr

Mondelēz International seeks a Full Stack AI Engineer to join a growing engineering team building a new AI-powered insights platform. You will design and deliver intelligent systems turning market data into decision-ready recommendations for global, regional, and local teams. The role covers full stack development, AI/ML engineering, and data engineering with a focus on scalable cloud-based solutions. Collaboration across Product, Data Science, and Business stakeholders is essential, with strong #J-18808-Ljbffr

Datavant in Barcelona, Spain, is seeking a Data Scientist (Privacy) to advance privacy in data sharing while analysing large health datasets. You will work in the Privacy Science team, contributing to research on re-identification risk and producing rigorous reports. The role emphasizes independent exploration, strong communication, and application of scientific methods to practical privacy problems, with a hybrid work setup including two days in the Gracia office. #J-18808-Ljbffr

IQVIA is seeking a Programmer (SAS & R) with German for Spain-based remote/hybrid work. The role focuses on statistical programming to support health technology assessment and market access activities in Germany, with emphasis on clinical data analysis and automation. The ideal candidate has a biostatistics/data science background, HTA/AMNOG exposure, and strong SAS/R skills. Spanish-based remote/hybrid arrangement with collaboration across cross‑functional teams. #J-18808-Ljbffr

IQVIA is seeking a Programmer (SAS & R) with German for a Spain-based role (remote/hybrid) to support health technology assessment and market access activities in Germany. The role focuses on statistical programming and analysis of clinical data. The ideal candidate holds a Master’s or PhD in biostatistics or data science, with HTA/AMNOG experience and fluency in German and English. Collaboration with cross-functional teams is essential. #J-18808-Ljbffr

Senior Systems Architect - Hybrid Madrid, ES Rol: E II Indra Space – Leading the Next Generation of Space Systems At Indra Space, we are on a mission to redefine the European space industry by delivering high-performance small satellite solutions for LEO missions. Our ambition? To become a leading company in end-to-end satellite systems, driving innovation in: Position, Navigation & Timing (PNT) Secure Communications Earth Observation & ISR Space Domain Awareness (SDA) and Space Traffic Management (STM) Science & space exploration As the Space Business Unit of Indra Group, we combine cutting-edge technology with a full value chain approach—from satellite design and integration to ground segment and operations. With the integration of Deimos and strategic participation in Hispasat and Hisdesat, we are scaling Europe’s space autonomy and contributing to flagship programs like IRIS², Galileo, EGNOS, and Copernicus. What We’re Looking For We are looking for an experienced Systems Architect with a strong background in complex system engineering and architecture, ideally within space or mission-critical environments. The ideal candidate brings deep expertise in end-to-end system design, integration, and multi-domain architectures, ensuring alignment across all subsystems and stakeholders. Define and maintain the end-to-end system architecture for Galileo-related solutions (space, ground, and user segments). Ensure consistency between system requirements, architecture, and implementation across all subsystems. Lead architectural design and support system engineering lifecycle activities (requirements, design, validation, verification). Coordinate with engineering teams, system integrators, and external stakeholders (e.g., ESA, contractors, partners). Support integration, validation, and test strategies at system level. Ensure compliance with space industry standards, security requirements, and mission-critical constraints. Identify architectural risks, propose mitigation strategies, and drive decision making. Contribute to technical governance boards and design reviews. Support alignment with SAFe or large-scale program delivery frameworks when applicable. Provide technical leadership and mentoring to engineering teams. Minimum 8 years of experience in systems engineering and architecture. Proven experience in space, GNSS, or highly critical infrastructures such as Galileo, GPS, EGNOS, or similar. Strong background in complex system design and integration. Experience working with system engineering standards such as ECSS, ISO, and INCOSE. Demonstrated experience in end-to-end architecture definition across multiple domains. Strong understanding of interfaces, data flows, and system dependencies. Experience in multi-stakeholder and international environments. Excellent communication and documentation skills. Preferred Qualifications Experience in Galileo program or ESA-related projects. Knowledge of ground segment systems, satellite operations, or navigation services. Familiarity with secure and resilient system architectures. Experience working in Agile SAFe environments applied to large programs. Certifications in Systems Engineering (INCOSE) or Architecture frameworks such as TOGAF. Knowledge of model-based systems engineering (MBSE) tools. What We Offer Work Your Way: Flexible hours so you can balance life and work effortlessly. Open Culture: Direct communication and a friendly environment where your voice matters. Innovation at Its Core: Be part of groundbreaking projects with global impact. People First: A collaborative team that supports and celebrates your success. Career Acceleration: Continuous feedback and annual reviews to help you grow. Stability You Can Trust: Long-term projects in a leading company with a future vision. Global Reach: Your work will influence major international initiatives. Mobility Opportunities: Explore projects across Spain and beyond. Lifelong Learning: Access Open University programs and 3,000+ Udemy for Business courses. Our commitment is to promote work environments where people are treated with respect and dignity, fostering the professional development of our workforce and guaranteeing equal opportunities in recruitment, training and promotion. We provide a workplace free from any form of discrimination based on gender, age, disability, sexual orientation, gender identity or expression, religion, ethnicity, marital status, or any other personal or social circumstance. INDRA is a Top Employer 2026! Join a company certified as one of the best employers in Spain, thanks to our comprehensive HR management and the working conditions we offer our professionals. #J-18808-Ljbffr

Genmab is seeking a Senior Medical Science Liaison (MSL) based in Barcelona, Spain, to cover European regions. The role requires a scientifically trained background and strong communication, with travel up to 60%. As an MSL, you will build relationships with healthcare and scientific communities, exchange data, support trials, and collaborate with cross-functional teams. Oncology focus with Gynecological Oncology preferred. #J-18808-Ljbffr

Accenture PLC in Spain is seeking experienced Knowledge Graph Engineers to join our Data & AI practice, with roles available in Madrid or Barcelona under a hybrid model. Candidates must reside in Spain with a valid work permit. The position emphasizes AI, data science, and consulting excellence within a global delivery network. You will contribute to designing future-state processes, developing AI agents, and delivering client-ready analyses, while collaborating with top clients on #J-18808-Ljbffr

At Parser, we are seeking a Senior Backend Engineer with strong MLOps expertise to join the Machine Learning Engineering team of a global leader in the travel industry. In this role, you will help design, build, and maintain the infrastructure that powers our ML solutions—managing data pipelines, streamlining model deployment, and optimizing compute resources. You’ll work on high-impact systems such as ranking, recommendation, and pricing optimization, while collaborating closely with data scientists to integrate models into production. Role Overview We're seeking a passionate and experienced SW Engineer to join the Revenue Optimization ML team. This high-impact role combines infrastructure expertise with applied MLOps knowledge, requiring proficiency in software engineering, distributed systems, and machine learning operations. Key Responsibilities Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments. Build and maintain efficient data pipelines for large-scale processing and feature engineering. Optimize compute resources and improve model serving performance across ML systems. Implement robust monitoring, logging, and alerting systems, and contribute to ML Ops practices including CI/CD pipelines. Collaborate closely with Data scientists to streamline the model development-to-production workflow. Research and integrate new technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field. 6-7 years of experience in Software, Data, or ML engineering roles (preferred). Strong problem-solving skills, proficiency in Java and desirable Python. Understanding of ML algorithms, model architectures, and experience building scalable, reliable ML systems. Exposure to cloud platforms (e.g., AWS), containerization (Docker), and scalable data systems (e.g., Spark, Kafka). Familiarity with CI/CD tools (e.g., Git Hub Actions), ML model serving technologies (e.g., MLflow), and ability to collaborate well across teams. Ideal Candidate This role is well-suited to someone with a solid foundation in at least one of the following areas: software engineering, data engineering, distributed systems, or applied machine learning and a readiness to grow into others as the work requires. We welcome candidates who are strong, language-agnostic problem solvers and passionate about building robust ML systems, even if you don't meet every single requirement listed. What We Offer A friendly and collaborative team keen on knowledge sharing and continuous learning Opportunity to work on cutting-edge MLOps & Machine Learning infrastructure, leveraging technologies like Java, Python, AWS, Docker, Kafka, Spark, and MLflow to power real-time ML systems. #J-18808-Ljbffr

Full Stack Engineer (Artificial Intelligence) Get AI-powered advice on this job and more exclusive features. We are seeking an experienced Full Stack Software Engineer to join our AI Team to develop cutting-edge artificial intelligence solutions. This role involves building new innovative software applications and improve them based on client feedback. Responsibilities Implement innovative AI-powered solutions to solve client needs. Design and develop user-friendly web application interfaces. Build robust backend APIs to ensure the scalability of the solutions. Integrate with external value-added services via APIs. Build validation and testing frameworks. Qualifications Backend: Node.js, Python, RESTful APIs, and microservices architecture. AI/ML: At least 1-year experience integrating Artificial Intelligence or Machine Learning services into business applications. Cloud: AWS cloud services, containerization (Docker), CI/CD pipelines. Integration: API development/integration, webhook implementations. Master’s degree in Computer Science, Software Engineering, or related field preferred. 3+ years of full stack development experience. Experience with regulated industry software preferred. Strong problem-solving skills and attention to detail. By applying, I confirm I have read and accept TransPerfect's Privacy Policy: https://www.transperfect.com/about/data-privacy-recruiting. Seniority level Mid-Senior level Employment type Full-time Industries Translation and Localization and Software Development #J-18808-Ljbffr

As a founding member of our new Barcelona R&D Hub, you will help build the AI-powered precision medicine platform that transforms clinical and molecular patient data into insights that accelerate drug discovery and improve patient outcomes. To help drive this vision, we are looking for a curious, collaborative and solutions-focused Lead Full-Stack AI Product Engineer to join our Translational Analytics team. About The Role You will develop and manage the next phase of our in-house precision medicine platform, helping researchers use clinical and molecular patient data to make informed decisions in drug discovery. You will take end-to-end responsibility for the platform’s technical development, from implemented architecture through deployment, including daily product operations and continuous improvement. You will also contribute to the ongoing platform artificial intelligence capabilities to help teams translate complex data into actionable therapeutic opportunities. Who You'll Work With You will be working in a Translational Analytics team that partners with clinical researchers, bioinformatics specialists, information technology and wet lab colleagues as well as other cross-functional teams. Together, you will turn scientific and user requirements into secure, reliable and user-friendly digital solutions, while establishing consistent data standards and responsible access to clinical and molecular patient information. We provide a highly stimulating environment with the use of state-of-the art technologies and unique career development. What You'll Do Optimize design, build and maintain a secure, scalable web platform for precision medicine research and real-time data visualization. Expand current user interfaces, cloud-based services and automated analytical workflows that support reliable and reproducible research. Own testing, deployment, monitoring and maintenance, continuously improving the platform from current prototype to production-ready product. Manage structured clinical and molecular data, ensuring traceability, version control and appropriate access. Contribute to expanding the platform’s AI capabilities and analysis of molecular, clinical and imaging data. Collaborate with scientific and technical teams to translate needs into accessible solutions and standardized data practices. Interested? For this role we're looking for the following education, experience and skills Bachelor's degree in computer science, software engineering or a related discipline. At least three years of software development experience, including building and successfully deploying subscription-based web applications. Strong programming and software engineering experience using R, Python programming language and structured query language. Experience designing scalable cloud-based systems, containerized workflows and reproducible analytical data pipelines. Experience integrating artificial intelligence into software products and analyzing multiple data types, including imaging data. Strong technical judgment, with the ability to evaluate technical trade-offs, define realistic timelines, and clearly communicate technical decisions to scientific and non-technical colleagues. About Us UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science. Why work with us? At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on EMEA-Reasonable_Accommodation@ucb.com. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel. #J-18808-Ljbffr

Associate Principal - Mixed Methods Research: Patient Experience - Home-based/Hybrid Madrid, Spain | Full time | Hybrid | R1536610 Associate Principal, Implementation Science & Mixed Methods Research IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics, and human ingenuity to drive healthcare forward. The Patient Centered Solutions (PCS) team leads the industry in the science of measuring the patient and stakeholder experience. PCS combines strategic consulting expertise with rigorous scientific methods to design and execute mixed-methods, survey-based, and implementation science research that informs development, access, and real-world use of medical products and healthcare interventions. Role Overview Associate Principal will serve as a senior subject matter expert in mixed-methods research, survey science, and implementation science, supporting client delivery, business development, external thought leadership, and internal capacity building across the organization. This role emphasizes hands‑on scientific leadership, project delivery excellence, and growing external visibility. Key Responsibilities Client Delivery & Scientific Leadership Serve as a senior scientific contributor and subject matter expert on client projects involving mixed-methods research, survey studies, and implementation science methodologies. Lead or co‑lead study design, instrument development, qualitative and quantitative analysis, and interpretation of findings. Ensure methodological rigor, alignment with best practices, and fit‑for‑purpose study designs across therapeutic areas. Review and contribute to key scientific deliverables including protocols, analysis plans, reports, manuscripts, and client presentations. Survey Science & Mixed-Methods Expertise Provide expertise in survey design, item development, response scaling, cognitive testing, and item reduction. Apply mixed‑methods approaches to integrate qualitative and quantitative findings in a coherent and decision‑oriented manner. Support development and refinement of implementation‑focused measures, including barriers, facilitators, and outcome constructs. Implementation Science Application Apply implementation science frameworks (e.g. CFIR, TDF, RE‑AIM) to inform study design, analysis, and interpretation. Support pragmatic and real‑world research intended to inform adoption, scale‑up, and sustainability of healthcare interventions. Translate implementation science concepts into actionable insights for clients. Business Development Support Contribute to proposal development through methodological input, study design, and drafting of scientific sections. Participate in client meetings and presentations as a scientific subject matter expert. Support development of reusable methods, templates, and best practices that enhance proposal quality and efficiency. External Thought Leadership Contribute to external visibility through conference abstracts, posters, presentations, and peer‑reviewed publications. Represent IQVIA as a credible scientific expert in mixed methods and implementation science under guidance of senior leadership. Participate in industry working groups, advisory boards, or collaborative initiatives as appropriate. Internal Capability Building & Mentorship Mentor junior and mid‑level staff on study design, analysis, and scientific writing. Support internal training initiatives, methods development, and communities of practice. Contribute to quality review processes and continuous improvement of scientific standards. Qualifications & Experience Advanced degree (PhD, DrPH, MD, PharmD, MSc, or equivalent) in a relevant scientific discipline strongly preferred. Demonstrated expertise in mixed‑methods research, qualitative methods, and survey‑based research. Applied experience using implementation science frameworks in healthcare or life sciences research. Strong scientific writing and presentation skills, with experience contributing to client‑facing and external materials. Experience working in a consulting or client‑facing research environment preferred. Ability to independently lead multiple projects as a subject matter expert and collaborate effectively across multidisciplinary teams. #J-18808-Ljbffr

Fever, Madrid-based, seeks a pricing domain expert to elevate pricing across live entertainment. You will define strategies, build scalable solutions, and collaborate with data science, engineering, and business teams to drive impact. This builder role emphasizes practical execution over advisory work, demanding hands-on modelling, experimentation, and cross-sector pricing across concerts, museums, theme parks, and more. #J-18808-Ljbffr

CHAMP Cargosystems seeks a data science professional to help build AI and ML based services. You will translate requirements into ML deliverables, create datasets and models, and prototype solutions while collaborating with internal and external teams. With 3+ years in ML development, you will work on predictive modelling, manage data pipelines, and ensure ethical use and privacy. You will join a global team driving CHAMP’s AI strategy. #J-18808-Ljbffr

Join Vylor—Powering the Future of AgricultureAt Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer, Brevant, and Hoegemeyer, delivering performance farmers rely on.Join us to help scale innovation globally and shape what’s next in crop science.Role OverviewThe Pathology specialist supports Corteva’s Pathology & Trait Discovery objectives by delivering high‑quality molecular diagnostics and greenhouse‑based phenotyping in support of research programs. This role is execution‑focused, with primary ownership of molecular diagnostics workflows, and operates in close coordination with the Pathology Leader and cross‑functional partners.The position is critical to sustaining operational throughput, data quality, and turnaround time as the Sevilla Pathology lab expands its molecular and high‑throughput phenotyping capabilities.Key AccountabilitiesExecute and coordinate PCR and RT‑PCR‑based pathogen diagnostics with high accuracy and consistency.Provide scientific input into phenotyping strategies and disease screening approachesOwn daily molecular workflows include sample preparation, assay execution, and results delivery.Support greenhouse disease phenotyping activities, ensuring alignment between phenotypic and molecular data.Ensure data quality, traceability, and documentation across lab workflows.Contribute to SOP adherence and continuous improvement of lab processes.Contribute to medium and long‑term pathology strategy, including technology upgrades and capability expansion.Required QualificationsMaster’s degree in plant Pathology, Molecular Biology, Biotechnology, or related discipline.Hands‑on experience with PCR / RT‑PCR and pathogen detection.Experience working in an applied research or diagnostic laboratory environment.Strong execution mindset with attention to detail and data quality.Preferred QualificationsExperience with plant pathogens and disease diagnostics.Exposure to greenhouse or controlled‑environment phenotyping.English and Spanish language skills.Corteva announced to separate our current advanced seed and genetics business to establish a standalone company, operating as Vylor, Inc. The process of the planned separation is anticipated to be completed the fourth quarter of 2026, subject to legal requirements and board approval. Should you accept this position, it is anticipated that, following conclusion of the separation, you would be an employee of Vylor, Inc. and your employment would be governed by Vylor, Inc. employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by Vylor, Inc. at an appropriate time and subject to any necessary consultation processes.Vylor is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws. #J-18808-Ljbffr

AI Engineer/Forward Deployed Engineer (Contract) Madrid (4 days per week on-site) €500 - 700 per day 12 month contract A leading consultancy specialising in AI is seeking a Forward Deployed Engineer to support the delivery of a key strategic programme with a large Financial Institution in Madrid. The Forward Deployed Engineer will sit directly with the client and help take their AI capabilities into production. It's a fairly hands-on role, working across engineering, data science and business teams to integrate LLM evaluation and quality tooling into their existing systems, data and AI workflows. The successful AI Engineer/Forward Deployed Engineer will have; Strong software or ML Engineer background Recent experience building and evaluating LLM systems in production. Experience around RAG, agents, tool use, LLM evaluation, observability or tracing would be relevant. In particular experience performing detailed evaluations on existing AI systems is relevant. Excellent communication in English (and Spanish ideally), comfortable working directly with stakeholders and getting into the detail of systems. Financial Services experience is a strong desirable This role is based in Madrid, Spain, and would require around 4 days per week on site. The contract is for a period of 12 months initially, paying €500 - 700 per day (depending on experience). #J-18808-Ljbffr

We are looking for an experienced Senior Infrastructure Operations Engineer to join our regional IT operations team in Barcelona. In this role, you will be responsible for technical design, build, and run duties across enterprise IT infrastructure, virtualization, storage, and operating systems. You will play a key role in maintaining high system availability, executing patching and vulnerability remediations, deploying changes, and driving service delivery improvements at a global and regional scale. Key Responsibilities & Deliverables Infrastructure Management: Maintain SLAs for all supported infrastructure, handling incident, service request, and change tickets within ITSM queues. Design, Build & Operations: Perform technical design, build, and run activities for enterprise infrastructure, virtualization (VMware ESXi), storage, and OS environments (Windows Server & RHEL). Patching & Security Remediation: Support routine system patching, vulnerability assessments, and security remediations across all infrastructure assets. Hardware & Systems Support: Support data center hardware (Dell, HPE, Fujitsu), enterprise business applications, global contact centers, and agile office solutions. Automation & Improvement: Apply scripting and automation techniques to standardize environments, reduce manual effort, and continuously improve service delivery. Troubleshooting & Incident Resolution: Analyze, evaluate, and rapidly resolve technical incidents and complex problems at local, regional, and international levels. Qualifications Bachelor's Degree in Engineering, Computer Science, Information Technology, or equivalent practical experience. Certifications (Preferred): Professional certifications in Microsoft, VMware (VCP), Red Hat (RHCE), Cisco (CCNA/CCNP), or IT Security/ITIL. Experience: +5 years of experience as an Infrastructure / Systems Operations Engineer in enterprise environments. Operating Systems & Virtualization: Strong hands-on expertise with VMware ESXi, Windows Server, and Red Hat Enterprise Linux (RHEL). Hardware & Storage: Familiarity with enterprise data center hardware (Dell, HPE, Fujitsu) and storage solutions. Directory Services & Networking: Proficient in Active Directory administration and basic network/switching principles (Cisco). Automation & Scripting: Practical experience with scripting techniques (e.g., Power Shell, Bash, Python) to standardize and control IT environments. Languages & Communication: Business fluency in English (written and verbal) with strong interpersonal skills to collaborate across international teams. Mobility: Willingness to undertake business travel as required. Monitoring & Reliability: Hands-on experience with infrastructure monitoring, alerting tools, and ensuring high system reliability/availability. Security Tooling: Experience with vulnerability management and cloud security platforms (e.g., Qualys, Skyhigh, or similar tools). Frameworks & Methodologies: Working knowledge of ITIL service management, Dev Ops practices, and Agile frameworks. Continuous Improvement: Proven capability to propose, design, and implement new operational processes and efficiency enhancements. English is a must Barcelona #J-18808-Ljbffr

Remote – Europe / UK based We are supporting a search for a Senior MLOps / ML Platform Engineer within a specialist life sciences software company that is building a Saa S platform for biopharma and scientific teams. This is a platform role rather than a model-building one. The company's product relies on AI and scientific models, and you would own the platform that sits behind them, from how workflows are run and experiments are tracked to how every result can be reproduced and trusted long after it was first produced. The scientists and modellers are effectively your users, so you would work closely with them as well as with backend, data and infrastructure engineers to make complex ML workflows reliable, traceable and easy to run at scale. It would suit an engineer who naturally thinks long-term, someone who will fix today's problem but then design it out properly so it doesn't come back six months later. Role focus Owning the ML platform architecture and setting the standards and tooling that other teams build on Building and orchestrating ML workflows using Flyte, Airflow or similar tools Running experiment tracking, model registries and artifact management, for example with MLflow Making sure reproducibility and lineage hold up, so older models and runs remain usable as the platform evolves Validating and monitoring model behaviour once models are in production Managing the Kubernetes, Docker and cloud infrastructure behind training and inference workloads Building CI/CD for both ML and data pipelines Improving observability, governance and reliability across the whole platform Working with scientists and engineers to turn their recurring needs into proper platform capabilities What we are looking for 5+ years' experience in MLOps, ML platform, data platform or platform engineering A software engineering mindset first and foremost, combined with genuine curiosity about the science behind the product Hands-on experience building platforms that other teams rely on, rather than only working on top of them Strong Python skills and solid production engineering practices Practical experience with Kubernetes, Docker and CI/CD Experience with workflow orchestration and experiment tracking A good understanding of how data behaves, including pipelines, quality, versioning and lineage Enough ML knowledge to work closely and confidently with model developers Comfortable making decisions, stating your assumptions and explaining trade-offs clearly Motivated by platform work itself, and keen to keep growing in this direction long term Experience with Flyte, MLflow, DVC, Kubeflow or similar tools Terraform or other infrastructure-as-code tools Data engineering experience with Spark, Airflow, dbt or streaming Working with large, complex or scientific datasets Exposure to biotech, pharma or other regulated environments, with Gx P a plus This isn't a generic Dev Ops role with ML added to the title, and it isn't a data science role either. The company needs someone who can own the platform foundation behind models used in a regulated scientific environment, and who wants to shape it as the product grows. #J-18808-Ljbffr

Merz Aesthetics, Inc. is seeking a Lead AI and Data Scientist for their EMEA Digital Innovation Hub in Madrid. This role emphasizes translating AI capabilities into impactful business solutions, leading AI initiatives from research to deployment, and collaborating with global teams. The individual will bring creativity and business understanding into AI projects. The ideal candidate will have over 8 years of experience in data science, a degree in a relevant field, and strong backgrounds in machine learning and cloud platforms. Join us to shape the future of AI! #J-18808-Ljbffr

About us Shalion is a data and insights-driven company that serves world-class manufacturers and brands globally. Through our Digital Shelf Optimization, Retail Media, and Food Service Aggregators solutions, we provide innovative tools for e-commerce monitoring. At Shalion, we empower brands to make smarter business decisions in e Commerce by delivering actionable data and insights on online product prices, availability, share of search, and more. We operate across 1000+ e-retailers in 60+ countries, serving industry giants such as Heineken, Lego, Danone, Nestlé, and JDE. As a leader in data intelligence, we specialize in gathering, analyzing, and applying proprietary artificial intelligence to deliver relevant data and monitoring tools, helping our clients maximize their e-commerce performance. The role As a Machine Learning Engineer , you will join our Data Science team and play a key role in transforming research-driven work into robust, production-ready systems. You will help elevate the team’s engineering maturity, promote best practices, and ensure that models are scalable, maintainable, and deliver real business impact. Your Responsibilities: Own the end-to-end lifecycle of ML systems, with focus on deployment and monitoring. Refactor and productionize existing models and notebooks into clean, modular, and testable code. Introduce and enforce best practices in coding, testing, model versioning Set up and improve CI/CD workflows for ML systems. Work closely with Data Scientists and Data Engineers to ensure clean interfaces and reliable data flows Act as a technical reference within the team, reviewing code and guiding less experienced members. Your profile: Experience building and deploying ML systems in production environments Strong software engineering skills in Python, with a focus on writing clean, maintainable, and testable code Proven experience taking models from notebook to production Solid understanding of model development lifecycle (Bonus) Familiarity with containerization (Docker) (Bonus) Experience with cloud environments (AWS preferred) and data platforms such as Snowflake Soft Skills: Pragmatic and solution-oriented: you focus on what works in production, not just in theory Comfortable working in ambiguous environments and bringing structure where needed Quality-driven mindset with attention to maintainability and long-term scalability Interview process: First interview: Intro & mutual fit Second interview: Technical discussion Third interview: Deep dive with Tech Lead What we offer you An international team – Work with colleagues from 10+ nationalities. A dynamic and innovative environment – Be part of a high-performing team. Hybrid work model – 3 days in-office, 2 days remote. Impactful work – Contribute to a challenging and innovative project. Flexible benefits – allocate part of your gross salary (pre-tax) to meal vouchers, transport allowance, and private healthcare at a preferential rate. Office perks – Fresh fruit and specialty coffee daily. Contract: Permanent Great location – Office in Barcelona’s Sarrià-Sant Gervasi district. Shalion Data Services Limited is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.Expedia Group B2B is the business-to-business arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more. As a global leader in travel technology, Expedia Group B2B powers thousands of partners across diverse markets and travel segments.We are looking for a Machine Learning Scientist II to join the Expedia Group B2B Machine Learning Science team. In this role, you will build end-to-end ML solutions for personalized recommendations, learning to rank, and relevance optimization. These systems are foundational capabilities that drive substantial value for our partners and Expedia Group. We champion a test-and-learn culture by continuously experimenting, analyzing, and improving the algorithms that have helped make B2B one of the fastest-growing divisions at EG.This role offers a unique opportunity to gain expertise in commercial acumen, engineering, analysis, and applied machine learning at scale. We are looking for an individual who has a solid foundation in machine learning and engineering, is passionate about driving meaningful impact while being mindful of the broader business context in which their work sits, is comfortable with ambiguity, and enjoys the challenge of tackling open-ended problems.In this role, you will:Develop and implement ML models for recommendations & relevance at scale that can handle high-throughput, low-latency personalized recommendations across diverse partner segments within Expedia Group’s B2B division.Contribute to building and enhancing end-to-end ML solutions, from data preprocessing to production deployment.Design and run A/B tests and experiments to continuously improve algorithm performance.Stay current with the latest ML techniques and contribute to the team’s technical capabilities.Collaborate with cross-functional teams to translate business needs into technical solutions.Communicate methodologies and results clearly to both technical and non-technical audiences and work across the tech stack to deploy models.Experience and qualifications:Ph.D. (preferred) or master’s degree in computer science, Machine Learning, Mathematics/Statistics or another related field of science.2 years of industry experience in applying ML to real-world problems desirable but not required.Proficiency in Python, with experience using PySpark and common machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, Keras etc.).Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (AWS, GCP)Solid understanding of common machine learning algorithmsKnowledge of statistics and probability theoryExcellent problem-solving skills and ability to learn new concepts quicklyStrong communication skills and ability to explain complex technical concepts to non-technical stakeholdersEnthusiasm for tackling challenging problems and contributing to innovative solutionsThe total cash range for this position in Madrid is €43,000.00 to €60,500.00. Employees in this role have the potential to increase their pay up to €69,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.Benefits and perksExpedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life .You can find the benefits for this location and any collective agreement that may apply here .Accommodation requestsExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation .About Expedia GroupExpedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.Important noticeEmployment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ .Equal OpportunityExpedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. #J-18808-Ljbffr

Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Founded on rigorous scientific inquiry and a willingness to challenge long-held assumptions, Revolution Medicines is committed to changing the trajectory of disease for patients with RAS-addicted cancers worldwide. Our people are united by a shared way of working: follow the science, challenge assumptions, act with urgency and hold ourselves to a high standard of rigor- all in service of patients. The Opportunity: We are seeking a highly motivated and experienced professional to join our team as a Medical Science Liaison, Spain. Key aspects of this role will include engage in peer-to-peer scientific dialogue with healthcare professionals that translate into meaningful insights, serve as a therapeutic expert and thought partner to internal teams, liaison between Revolution Medicines and clinical study sites / investigators, and provide support for medical education, advisory boards, and medical congresses. Medical Science Liaisons (MSLs) are an essential member of the Medical Affairs team who will work as an extension of the Medical Affairs organization. The MSL team will serve as a key liaison between Revolution Medicines and healthcare professionals. Within an assigned geographic territory, the MSL will be responsible for cultivating and strengthening professional relationships with key opinion leaders (KOLs), healthcare providers, and academic centers of excellence involved in various phases of product development. The individual will collaborate with stakeholders within medical affairs and across the organization, including but not limited to Clinical Development, Commercial, Program Management, Clinical Operations, and Compliance teams. The ideal candidate is an effective communicator, driven, detail-oriented, proactive, and a skilled collaborator. Develop and maintain strong relationships with KOLs, healthcare professionals, and academic institutions to advance scientific and medical knowledge. Communicate clinical and scientific data to KOLs and healthcare professionals through presentations, educational programs, and scientific discussions. Support the synthesis and communicate scientific insights from KOLs to relevant internal teams. Support the preparation of product presentation to KOLs and HCPs. Support Strategic account managers and access team in the field on complex and scientific questions. Provide scientific support for medical congresses, advisory boards and other relevant scientific engagements to enhance the visibility of RevMed within the scientific and medical communities. Establish credibility as a scientific expert and resource for internal stakeholders, providing medical and scientific support for products and therapeutic areas. Collaborate cross-functionally with medical affairs, clinical development, marketing and other teams to support the development and execution of medical strategies and tactics. Stay current with scientific literature, emerging research, and competitive landscape. Adhere to Revolution Medicines Core Values and policies. Understand the regulatory requirements for customer engagement by field-based employees. Ability to ensure and fulfill territory planning and coverage, including the implementation of the National Medical Strategy in alignment with the Global Strategy. Doctoral degree in scientific or medical discipline. 8+ years experience as an MSL or in a similar role within the pharmaceutical or biotech industry in Spain. Strong understanding of clinical research methodologies and drug development processes. Knowledge and experience within the oncology therapeutic area, preferred experience in lung and gastrointestinal cancers. Excellent verbal and written communication skills. Proven ability to analyze and synthesize scientific information effectively. Excellent presentation skills, with the ability to effectively communicate complex scientific data to diverse audiences. Strong networking skills with proven ability to successfully build and maintain relationships with KOLs and healthcare professionals. Self-directed and able to thrive in a fast-paced and dynamic environment. Willingness to travel up to 60% of time. #J-18808-Ljbffr

Salary Range: €44,700.00 - €83,100.00 Job Description Summary Integrated Insights owns the generation of strategic insights and business recommendations by connecting market understanding, customer intelligence, performance analytics, and external evidence to enable better decisions and accelerate growth. Job Description Key Responsibilities Own the end-to-end insight lifecycle, translating business priorities into evidence plans, key performance indicators, analytical frameworks, and strategic recommendations. Partner with Therapeutic Area, Value & Access, Medical, and Finance leaders to identify critical business questions and support strategic decision-making. Synthesize internal and external data sources, market intelligence, customer insights, and performance analytics into clear, decision-ready narratives. Lead the development, prioritization, and execution of market research strategies and annual research plans. Manage market research budgets, external research vendors, and ensure compliance with applicable procurement and market research processes. Generate strategic insights for business review meetings, leadership forums, and performance discussions. Integrate commercial, customer, medical, access, field force, and omnichannel performance signals into a unified view of business performance. Conduct brand deep dives, growth opportunity assessments, competitive analyses, and scenario-planning exercises to identify risks and opportunities. Serve as the strategic interface between business stakeholders and Data & Analytics partners, translating business questions into actionable analytical requirements. Support forecasting, market modeling, long-range planning, and launch readiness through evidence-based assumptions and strategic recommendations. Provide customer and market insights that support segmentation, targeting, customer engagement, and go-to-market decisions. Curate and share knowledge, best practices, benchmarks, and cross-market learnings to maximize organizational learning and avoid duplication of effort. Ensure timely reporting of technical complaints, adverse events, and special case scenarios related to Novartis products within 24 hours of receipt. Support the distribution of marketing samples where applicable and in accordance with local regulations and Novartis policies. Essential Requirements Bachelor’s degree in Business, Economics, Marketing, Life Sciences, Data Analytics, Statistics, or a related discipline. Significant experience in strategic insights, business analytics, market research, commercial excellence, consulting, or pharmaceutical strategy roles. Demonstrated ability to transform complex data and evidence into actionable business recommendations. Strong understanding of pharmaceutical markets, customer dynamics, market access, and product lifecycle management. Experience leading primary and secondary market research initiatives. Advanced analytical and problem-solving capabilities with strong business acumen. Proven ability to influence senior stakeholders and drive strategic discussions through evidence-based recommendations. Experience working with cross-functional teams including Commercial, Medical, Value & Access, Finance, and Analytics. Excellent communication, storytelling, and presentation skills. Ability to manage multiple priorities in a dynamic and fast-paced environment. Fluency in English. Desirable Requirements Advanced degree in Business Administration, Economics, Life Sciences, Data Science, or a related field. Experience within the pharmaceutical, biotechnology, healthcare, or consulting industry. Knowledge of forecasting methodologies, scenario planning, segmentation, targeting, and launch planning. Experience working with advanced analytics, customer intelligence, and omnichannel performance measurement. Why Novartis? At Novartis, we are reimagining medicine to improve and extend people’s lives. Our success depends on our ability to make smarter decisions faster and transform data into meaningful actions that benefit patients. As part of the Integrated Insights team, you will play a pivotal role in shaping strategic decisions, influencing business direction, and helping deliver innovative medicines to patients around the world. Join us and become part of a collaborative, curious, and impact-driven organization where your insights can help drive the future of healthcare. Benefits & Rewards At Novartis,we’recommitted to reimagining medicine together - and rewarding the people who make it happen. Expected Annual Base Salary Range for role: 44,700.00 - 63,900.00 - 83,100.00 EUR Annual The base salary offered isdeterminedbased on gender-neutralobjectives, such as relevant skills,competenciesand experiencein accordance withthe Novartis pay setting policy and upon joining Novartis will be reviewed periodically. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits inkindto help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeingresourcesand global recognition programs. In addition, we provide flexible and hybrid working options, where possible, andminimum14 weekspaid parental leave. You may be eligible for a company vehicle or a car allowancein accordance withthe applicable local Novartis policies and guidelines. Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse,equitableand inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics. Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf Skills Desired Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Waterfall Model #J-18808-Ljbffr

Johnson & Johnson Innovative Medicine in Madrid, Spain, is seeking a Postdoctoral Scientist to join the Data, Data Science & Artificial Intelligence (DDSAI) organization for a two-year fixed-term position, focusing on multimodal representation learning for predictive biology and AI/ML analytics to advance drug discovery. You will collaborate across cross-functional teams, develop novel models for imaging microscopy and multi-omics, and publish findings in top-tier venues. #J-18808-Ljbffr

Preply is scaling an AI-powered learning platform used by millions of learners and tutors worldwide. As ML and GenAI become increasingly central to our product, marketplace, and operational systems, we’re looking for a Staff ML Ops Engineer to define and evolve the platform that enables machine learning at company scale. This is a senior technical leadership role for an engineer who can combine deep hands‑on expertise with platform vision. You will help define the current and future direction of Preply’s ML platform, set technical standards, and design the systems that allow ML teams to move from research to production quickly, safely, and cost‑efficiently. You’ll partner closely with Applied Science, Data, Product, and Engineering leadership to build a scalable, secure, and observable ML platform that powers multiple business lines. Your impact will come not only from the systems you design, but from the standards you set, the engineers you mentor, and the technical decisions you help de‑risk across the organization. Why is this role important: Preply’s next stage of growth depends on making AI a scalable company‑wide capability, not a collection of isolated models and experiments. This role will define how ML systems are built, deployed, monitored, and improved across the company. You’ll shape the platform that powers personalized learning, smarter experiences for tutors and learners, marketplace intelligence, content generation, automation, and future GenAI products. The goal is to make it dramatically easier for teams to turn ML ideas into reliable, secure, cost‑efficient product experiences at a global scale. What you’ll be doing: Define the technical vision and roadmap for Preply’s ML platform, ensuring it can support growing ML and GenAI adoption across multiple teams, products, and business lines. Lead the architecture of platform capabilities across the full ML lifecycle: experimentation, feature engineering, artifact management, training, deployment, monitoring, retraining, and governance. Design cloud-native infrastructure for distributed training and inference, including GPU-based environments, autoscaling, workload isolation, rollout strategies, and cost optimization. Set the technical direction for CI/CD for ML, embedding testing, validation, security, performance checks, and release confidence into deployment pipelines. Establish observability standards for ML systems, including model metrics, service health, alerts, drift detection, data quality, lineage, and business-impact monitoring. Lead the evolution of Preply’s GenAI and LLM platform capabilities, including building LLM Gateway services, vector retrieval infrastructure, prompt experimentation, evaluation frameworks, latency-optimized inference, and reliable model-serving patterns. Partner with Applied Science and Data leads, Product leaders, and Engineering teams to align platform investments with experimentation velocity, cost efficiency, operational reliability, and user impact. Design platform abstractions, internal libraries, templates, and self-service tooling that help ML Scientists and engineers move faster without compromising reliability or security. Act as a technical multiplier across engineering by mentoring senior engineers, influencing architecture, raising standards, and guiding teams through complex platform decisions. Identify and eliminate bottlenecks in the path from ML research to production, making the platform easier, safer, and more efficient for all ML-powered product development. What you need to succeed: 9+ years of engineering experience, with significant depth in large-scale ML, data, infrastructure, or platform systems. Proven ability to architect and scale production-grade ML platforms that support many teams, workflows, and ML use cases. Deep understanding of cloud-native architecture and end-to-end ML workflows, including experimentation, feature management, model versioning, training, deployment, monitoring, performance benchmarking, and lifecycle management. Strong hands‑on experience with cloud platforms such as GCP or AWS, Kubernetes, distributed compute, CI/CD, observability, and infrastructure-as-code practices. Experience building enabling tools and platform capabilities for Applied Scientists, Data Scientists, and engineering teams. Strong technical judgment and the ability to make pragmatic architecture decisions across reliability, scalability, security, cost, and developer experience. Excellent communication and influence skills, with experience aligning cross-functional stakeholders and translating platform strategy into execution. Demonstrated ability to mentor engineers, raise engineering standards, and multiply the impact of teams around you. Product-impact mindset: you care about building platform capabilities that accelerate experimentation, improve user experiences, and unlock measurable business value. Familiarity with LLM frameworks and GenAI infrastructure, such as LangChain, LlamaIndex, vector stores, retrieval systems, prompt evaluation, model serving, or LLM observability. Why you’ll love it at Preply An open, collaborative, dynamic and diverse culture. A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development. A competitive financial package with equity, leave allowance and health insurance. Access to free mental health support platforms. The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries. Diversity, Equity, and Inclusion Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. #J-18808-Ljbffr

CTM - Future Roles Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Every day we perform better because of how we work together, as one team, each the best at what we do. We bring a wide range of talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®. Discover what our 29,000 employees, across 110 countries already know. WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we’re able to create a place where everyone feels like they belong. Job Responsibilities Performs site qualification, site initiation, interim monitoring, site management activities and close-out visits (performed on-site or remotely) ensuring regulatory, ICH-GCP and/or Good Pharmacoepidemiological Practices (GPP) and protocol compliance. Uses judgment and experience to evaluate overall performance of site and site staff and to provide recommendations regarding site-specific actions; immediately communicates/escalates serious issues to the project team and with guidance develops action plans. Maintains a working knowledge of ICH/GCP Guidelines or other applicable guidance, relevant regulations, and company SOPs/processes. Verifies the process of obtaining informed consent has been adequately performed and documented for each subject/patient, as required/appropriate. Demonstrates diligence in protecting the confidentiality of each subject/patient. Assesses factors that might affect subject/patient’s safety and clinical data integrity at an investigator/physician site such as protocol deviation/violations and pharmacovigilance issues. For the Clinical Monitoring/Site Management Plan (CMP/SMP): Assesses site processes Conducts Source Document Review of appropriate site source documents and medical records Verifies required clinical data entered in the case report form (CRF) is accurate and complete Applies query resolution techniques remotely and on site, and provides guidance to site staff as necessary, driving query resolution to closure within agreed timelines Utilizes available hardware and software to support the effective conduct of the clinical project data review and capture Verifies site compliance with electronic data capture requirements May perform investigational product (IP) inventory, reconciliation and reviews storage and security. Verifies the IP has been dispensed and administered to subjects/patients according to the protocol. Verifies issues or risks associated with blinded or randomized information related to IP. Applies knowledge of GCP/local regulations and organizational procedures to ensure IP is appropriately (re)labelled, imported and released/returned. Routinely reviews the Investigator Site File (ISF) for accuracy, timeliness and completeness. Reconciles contents of the ISF with the Trial Master File (TMF). Ensures the investigator/physician site is aware of the requirement of archiving essential documents in accordance with local guidelines and regulations Documents activities via confirmation letters, follow-up letters, trip reports, communication logs, and other required project documents as per SOPs and Clinical Monitoring Plan/Site Management Plan. Supports subject/patient recruitment, retention and awareness strategies. Enters data into tracking systems as required to track all observations, ongoing status and assigned action items to resolution. For assigned activities, understands project scope, budgets, and timelines; manages site-level activities / communication to ensure project objectives, deliverables and timelines are met. Must be able to quickly adapt, with the oversight of the Lead CRA, to changing priorities to achieve goals / targets. May act as primary liaison with project site personnel, or in collaboration with another CRA or Central Monitoring Associate (CMA). Ensures all assigned sites and project-specific site team members are trained and compliant with applicable requirements. Prepares for and attends Investigator Meetings and/or sponsor face to face meetings. Participates in global clinical monitoring/project staff meetings (inclusive of Sponsor representation, as applicable) and attends clinical training sessions according to the project specific requirements. Provides guidance at the site and project level towards audit readiness standards and supports preparation for audit and required follow-up actions. For Real World Late Phase, the CRA I will use the business card title of Site Management Associate I. Additional responsibilities include: Site support throughout the study lifecycle from site identification through close‑out Knowledge of local requirements for real world late phase study designs Chart Abstraction activities and data collection Collaboration with Sponsor affiliates, medical science liaisons and local country staff Qualifications Bachelor’s degree or RN in a related field or equivalent combination of education, training and experience Knowledge of Good Clinical Practice/ICH Guidelines and other applicable regulatory requirements Must demonstrate good computer skills and be able to embrace new technologies Excellent communication, presentation and interpersonal skills Ability to manage required travel of up to 75% on a regular basis US ONLY: As part of your employment with Syneos Health, you may be deployed to Sites that require certain medical and other personal information to gain facility access. Pursuant to our Employee Privacy Notice, Syneos Health can provide the Sites with the information necessary for you to gain such access. Further, a Site may ask you for additional information beyond that which Syneos Health has in its possession. You are required to comply with any such Site requests as a condition of your employment with Syneos Health. Please note that failure to provide requested information may result in a Site barring you from entry, which could put your ongoing employment at risk. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. http://www.syneoshealth.com Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Discover what our Syneos Health colleagues already know: work here matters everywhere. Work alongside the brightest minds in the biopharmaceutical industry taking down walls and removing barriers to speed our customers’ delivery of important therapies to patients. We are strategic thinkers who actively seek different perspectives, whether across offices or across oceans. Because we solve some of the toughest challenges facing the most prestigious healthcare companies today, you'll gain exposure and be supported with comprehensive resources including emerging technologies, data, science and knowledge sharing. The diversification and breadth of Syneos Health creates a multitude of career paths and employment opportunities. We’re a growing, global company dedicated to advancing our talent past their initial role. Discover what our 29,000 employees already know: work here matters everywhere. We work hard, and smart, all in the name of getting much-needed therapies to those who need them most. A career with Syneos Health means your everyday work improves patients’ lives around the world. Selecting us as an employer secures a career in which you’re guaranteed to: Partner with the most diverse team of experts in the industry. From the top down, our people are inspiring. Everyone has a voice and is encouraged to use it. Work in specialized Syneos Health teams that are therapeutically or functionally aligned for expert collaboration. We assemble clinical teams where everyone, from CRAs to senior management, is skilled in the same therapeutic area or customer teams. With this structure, everyone on your team speaks the same language and can deliver unique insights into the therapeutic environment and patient population. We are partners with purpose. We integrate seamlessly with our customers and do what’s best for their success. Our people provide the brilliant ideas, valuable insights and endless energy that accelerates the impact of life changing therapies worldwide. #J-18808-Ljbffr

Whether you’re an experienced professional or just getting started, your contributions matter at Fortra. If you’re passionate about tackling meaningful challenges alongside talented team members committed to helping each other succeed, all while having lots of fun, we want to hear from you. We offer competitive benefits and salaries, personal and professional development opportunities, flexibility, and much more! This position is responsible for developing, enhancing, and maintaining data science solutions with particular emphasis on data processing, algorithms, and machine learning methods. The scope of the role includes both existing software products and new products in development. The ideal candidate has a strong commitment to excellence, confidence in their data science expertise, started to take initiative and works with less supervision, is a creative problem solver, and a team player. WHAT YOU'LL DO Participate in the full software development life-cycle. Help to develop, document, test, and debug machine learning models in production environments. Follow and help enforce our development best practices and standards. Actively participate or sometimes take the lead in Agile ceremonies. Provide assistance to less experienced team members. Engage with engineering and MLOPs teams to understand requirements and constraints for multiple products. Collaborate with other data scientists and engineers within a small team structure. Continually pursue independent exploration of related data science topics and technologies. Become a domain expert in one cybersecurity application area. Acquire technical expertise on the development of ML models including feature-engineered, LLMs, and generative models. Write technical documentation of small-scale components based on conceptual design and stated business requirements. QUALIFICATIONS At least 4 years of experience in data science roles is required. Strong academic background (Ph D program in a technical field) is an adequate substitute for a few years of industry experience. Solid experience developing data science solutions in at least one major programming language such as Python, Java, or C++. Solid knowledge of Data Science techniques and methodologies and demonstrated ability to apply these methodologies in active projects. Some Machine Learning (ML) background and experience in at least one application area such as NLP, Computer Vision, or Generative AI. Successfully developed and deployed multiple ML models in industry. Comfortable with Python-based frameworks such as Py Torch, Tensor Flow, and scikit-learn. Demonstrated ability to collaborate with other data scientists and engineers within a small team. Some experience assisting or providing mentorship to junior data scientists. Good communication and presentation skills. Ability to convey complicated technical topics to non-technical people both verbally and in writing. Demonstrated problem solving ability and critical thinking skill with various types of real-world data. Experience with the Agile/Scrum project development methodology. Interest in cybersecurity applications. . At Fortra, we’re breaking the attack chain. Ready to join us? Visit our website to learn more about why employees choose to work for Fortra. Remember to connect with us on Linked In. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, veteran or disability status. #J-18808-Ljbffr

Senior AI Solutions Engineer About AI & Data Science Office AI & Data Science Office brings together data science, advanced analytics, and AI expertise across IQVIA's international markets. We work with Commercial Solutions teams to transform business needs into scalable solutions that improve client offerings, operational efficiency, and decision-making. Our work spans advanced analytics, machine learning, AI, Generative AI (GenAI), and agentic AI, supported by healthcare data, engineering, and domain expertise. We connect global innovation with local market needs, accelerate the reuse of proven solutions, and establish shared methodologies, models, and architectural standards across teams and geographies. About the Role We are seeking an experienced Senior AI Solutions Engineer to design, develop, evaluate, and deploy AI, machine learning, GenAI, and agentic AI solutions that address complex business and client challenges. Working closely with business stakeholders, data scientists, and technology teams, you will identify opportunities where AI can create measurable value and translate them into practical, production-ready solutions. From proof of concept to deployment and adoption, you will play a key role in shaping AI capabilities across IQVIA's international markets. Key Responsibilities Design, develop, evaluate, and deploy AI, machine learning, GenAI, and agentic AI solutions. Translate business requirements into scalable technical solutions and implementation plans. Build intelligent workflows leveraging machine learning models, LLMs, enterprise data, APIs, and agentic frameworks. Develop solutions involving RAG, semantic search, knowledge discovery, intelligent automation, and decision support. Define evaluation approaches to assess solution quality, performance, business impact, and risk. Partner with business, analytics, and technology teams throughout the solution lifecycle. Transform successful proofs of concept into reusable, production-ready capabilities. Integrate AI solutions with enterprise platforms, data sources, and analytical products. Apply best practices in software engineering, MLOps, LLMOps, security, governance, and documentation. Contribute to reusable frameworks, methodologies, standards, and best practices. Support adoption of AI capabilities across markets and business units. Evaluate emerging AI technologies and identify opportunities to create business value. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Experience designing and deploying AI, machine learning, advanced analytics, or GenAI solutions in production environments. Strong understanding of AI, machine learning, Generative AI, LLMs, prompt engineering, and agentic AI concepts. Experience building solutions using modern AI frameworks and tools. Knowledge of RAG, vector databases, semantic search, and knowledge retrieval techniques. Experience integrating AI solutions with enterprise systems, APIs, and cloud platforms. Strong software engineering and solution development skills. Understanding of AI governance, evaluation, monitoring, security, and compliance practices. Ability to communicate technical concepts to both technical and non-technical stakeholders. Preferred Qualifications Experience building AI-powered products or client-facing AI solutions. Familiarity with orchestration frameworks, AI agents, and multi-agent systems. Experience working with structured and unstructured enterprise data. Knowledge of predictive analytics, machine learning, advanced analytics methodologies. Knowledge of Responsible AI, model governance, compliance, and risk management. Experience in healthcare, life sciences, commercial analytics, or consulting environments. Familiarity with MLOps and LLMOps practices. What You'll Bring Passion for applying AI technologies to real-world business challenges. A builder's mindset and ability to move from concept to deployment. Curiosity about emerging technologies and continuous learning. Strong collaboration and stakeholder management skills. Focus on delivering practical, scalable, and measurable business outcomes. IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com. IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone, everywhere. When our talented employees bring their authentic selves and their diverse experiences to work, they enable us to accomplish extraordinary things. Multifaceted thought processes spark innovation. Multi-talented collaboration harnesses innovation to deliver superior outcomes. Likewise, as part of this culture, IQVIA is committed to ensuring effective equality between women and men, integrating it as a strategic principle in its corporate and human resources policies. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide. To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us. #J-18808-Ljbffr

Machine Learning Engineer Barcelona, Spain Machine Learning In office Full-time sennder is redefining road logistics. As Europe's leading digital freight forwarder, we are building a smarter, faster, and more sustainable future for freight, powered by a single, unified platform that already runs our entire business. We are moving from a decade of growth through acquisition to a company that is outcome-driven, outward-focused, and AI-native by design. Logistics is one of the best possible use cases for AI, and unlike most of our peers, we own the full loop: the platform, the operations, and the data connecting them. That closed feedback loop is a compounding advantage most competitors can’t replicate. This role exists to turn that advantage into sennder’s sharpest edge in margin, cost, and service, because AI will give us that edge if we lead, or become a risk if we lag. As a Machine Learning Engineer, you will join our highly talented ML team. This is an applied machine learning role focused on highly innovative, research-oriented topics. You will work on a diverse portfolio of high-impact projects, ranging from optimizing our established Recommendation engine & Pricing engine to building greenfield solutions. This role can be based out of our Berlin, Barcelona or Amsterdam office. To succeed, this role demands a strong focus on deep Data Science and statistical exploration (roughly 70% of your scope), paired with the foundational Machine Learning Engineering skills (~30%) required to transition prototypes into production-ready models. You will not just be implementing technical specifications; you will sit directly with end-users, operators, and Product Managers to deeply understand their workflows, granting you real decision-making power over the product's direction. You are expected to have a holistic approach to project deployment, acting as an end-to-end ML Engineer and taking full ownership from "Light MVP" R&D to production deployment. WHAT YOU WILL DO... Pricing Engine Optimization: Develop and iterate on bid estimation algorithms and margin-optimization models to power our dynamic pricing engine, directly driving company profitability. Carrier Forecasting: Build robust predictive models to forecast carrier behavior and market capacity, enabling our operational teams to secure the right trucks at the right price before the market shifts. Recommender Systems: Maintain and improve our existing recommender systems to seamlessly support our operational teams' day-to-day efficiency. Industry Innovation & Applied ML: Explore and validate new areas where machine learning can solve fundamental logistics challenges (such as freight routing and network optimization), turning open-ended industry problems into scalable, data-driven solutions. Product Discovery & Ideation: Partner closely with Product Managers to drive continuous product discovery, translating ambiguous operational pain points into clear, outcome-driven ML hypotheses and rapid prototypes. AI & LLM Integration: Leverage foundational models and AI agents both as daily accelerators for your own engineering workflows and as core components to build new internal products. We expect you to pragmatically evaluate trade-offs and always choose the right solution for the right problem—whether that is an LLM, a traditional ML model, or a simple heuristic. Platform Collaboration: Partner with our Data & AI Platform (MLOps) team to utilize and deploy models via our internal ML infrastructure. You will act as a key customer of this platform, providing continuous feedback and contributions to shape our global engineering standards. End-to-End Execution: Adopt a holistic approach to project deployment, maintaining an end-to-end attitude that covers the entire lifecycle from initial R&D and prototyping all the way through to production release and monitoring. WHAT WE ARE LOOKING FOR... Experience: 5+ years of hands-on experience in Data Science or Machine Learning Engineering. Data Science Fundamentals: Strong foundation in statistical analysis, hypothesis testing, and deep data exploration to validate assumptions and commercial viability before building complex models. You must possess a working knowledge of ML approaches to address basic regression and classification problems. ML Engineering: Experience deploying models to production environments, writing modular code, and understanding software engineering best practices. Technical Skills: Strong proficiency in Python, SQL, and Git. Experience working with cloud data warehouses (e.g., Snowflake), utilizing Jupyter Notebooks for data exploration, and building interactive data apps/dashboards (e.g., Streamlit, Power BI) to visualize outcomes for stakeholders. AI Proficiency: A solid understanding of how to set up, evaluate, and leverage Large Language Models (LLMs) and related AI tools in a production setting. Business Acumen: Ability to translate complex & multifaceted logistical problems into data-driven solutions, prioritizing 'Outcome over Output'. Collaboration: Strong communication skills to work closely with Product Managers, end-users, and a diverse team of ML Engineers, Data Scientists and Platform Engineers. WHY CHOOSE SENNDER... Impact: Build the data and AI foundation for Europe's leading digital freight platform, at the moment sennder is shifting from buy-and-build to outcome-driven and AI-native. Vibrant Workspaces: Our offices are equipped with healthy snacks, focus zones, and social areas to keep you energized and connected. Highlights include a slide in our Wroclaw office and a sunny rooftop terrace in Berlin, Amsterdam, and Milan. Culture: Work in a fast-paced, hybrid environment with 1,100 talented, diverse colleagues from 74 nationalities. We prioritize well-being through initiatives like our senn Care program and a partnership with nilo. Growth & Rewards: We believe in rewarding our team for their commitment and contributions to our long-term success. Our compensation package may include performance bonuses, referral rewards, or equity that align with our goal of building a thriving company together. We celebrate diversity and value your character just as much as your skills. If you don’t meet every requirement, don’t worry, we still encourage you to take a chance and apply. Bring your authentic self and help us shape the future of logistics in Europe. Please read our Privacy Policy before submitting your application. Learn more about us on our career website. #J-18808-Ljbffr

Boeing Madrid, Community of Madrid, Spain At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Technology Innovation - Europe is seeking an Experienced R&T Portfolio Specialist This role supports the seamless execution and integration of BTIE’s research portfolio within Boeing’s global research organization. It is critical in ensuring operational efficiency, maintaining rigorous program management controls, and fostering effective communication across teams. The candidate will coordinate with technical managers to avoid budget overruns and secure timely project delivery. Hiring Details This is a locally hired position in Madrid. Benefits and pay are determined at the local level and are not part of Boeing U. S. based payroll. The position is expected to be 100% onsite at one of the listed location options. Program Management – Cost & Time Control Ensure proper and timely budget allocation for projects, monitoring and controlling program budgets, schedules, and resource allocation. Support technical managers in managing financial forecasts, actuals, and variance analysis. Provide timely and accurate reporting on program cost and timeline performance. Program Management – Scope & Quality Control Support the definition and tracking of project scope and deliverables, ensuring adherence to program objectives, milestones, and quality standards. Assist with continuous improvement initiatives and ensure compliance with internal procedures. Coordinate quality reviews and post-project evaluations. Technology Integrator Activities Contribute to the integration of technology portfolios and collaboration tools. Support alignment of technical content across functions. Facilitate interactions between engineering teams and business operations for cross‑functional consistency. Basic Qualifications (Required Skills/Experience) Strong proficiency in data analytics tools (e.g., Power BI, Tableau, Excel, Python). Solid understanding of project lifecycle, budget management, and timeline tracking. Effective communicator with a proactive approach to solving problems. Rights to work in Spain. Fluency in English. Preferred Qualifications Bachelor of Science degree or higher in engineering, engineering technology (including manufacturing engineering technology), mathematics, data science, computer science or related field. Familiarity with project management methodologies and tools (e.g., MS Project, Jira). Experience developing or supporting cloud‑based and on‑premises tools (e.g., Azure Dev Ops) or websites. Background in aerospace, R&D, or technology integration environments. Knowledge of quality and continuous improvement systems. Key Competencies Analytical Thinking: Ability to interpret data and translate it into meaningful insights. Communication: Strong written and verbal communication skills across diverse teams. Collaboration: Experience working in matrixed, international environments. Adaptability: Comfortable with ambiguity and shifting priorities in a fast‑paced setting. Strong Communicator: Contribute to information sharing across geographies. Applications for this position will be accepted until Oct. 30, 2025 . Export Control Requirements: This is not an Export Control position. Relocation assistance is not a negotiable benefit for this position. Employer will not sponsor applicants for employment visa status. Not a Shift Worker (Spain). We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews. #J-18808-Ljbffr

XTEL is a leading global revenue management solutions provider for consumer goods companies. By combining technology, industry expertise, data management, and change management, XTEL helps CPG companies achieve profitable revenue growth. Position Overview XTEL is looking for a Technical Solution Enablement Lead to lead technical enablement for internal and partner field teams, including solution architects, technical consultants, and partner engineers. The role will ensure that these teams can design, implement, and support XTEL solutions consistently and at scale. It will also connect technical enablement with XTEL’s solution strategy, go-to-market priorities, and delivery methodology, helping teams and partners execute successfully in real-world enterprise environments. Key Responsibilities Partner with Engineering, Professional Services, Solution Engineering, and the instructional design team to define the technical capabilities required by field and partner roles. Own technical enablement programs for pre-sales and post-sales teams, including implementation blueprints, demo environments, integration patterns, and technical readiness materials for new solution launches. Translate XTEL’s product capabilities, solution offerings, delivery methodology, and go-to-market priorities into practical learning paths, playbooks, and certifications. Coordinate hands‑on labs, bootcamps, workshops, and certifications for technical field roles and partners. Curate and maintain a repository of reference architectures, configuration examples, technical FAQs, and other reusable technical resources. Support technical onboarding and readiness programs for systems integrators and delivery partners, ensuring they can execute projects to XTEL standards. Act as the feedback loop from field teams and partners into Engineering, Product, and Curriculum on recurring technical blockers, deployment friction, support trends, and knowledge gaps. Collaborate with the Field Enablement Lead – Functional to ensure that technical and functional learning journeys are aligned. Partner with the Learning Management System Platform Lead to deliver and track technical learning paths for relevant personas. Stay close to live projects through selected implementation and solution design engagements, using field experience to improve enablement content and delivery practices. Track the effectiveness of technical enablement through certification and completion rates, time to productivity, deployment quality, time to go‑live, support case trends, and partner performance. Qualifications 5+ years in solutions architecture, PS, technical pre‑sales, or technical enablement in enterprise Saa S. Strong understanding of integration patterns, data flows, security, and enterprise IT environments. Experience working with/through partners and system integrators is highly desirable. Excellent communication skills; able to bridge business and technical audiences. Bachelor’s or master’s degree in a technical or quantitative discipline, such as Computer Science, Information Technology, Engineering, Cybersecurity, or a related field. Equivalent professional experience may also be considered. Nice to Have Experience with revenue management, trade promotion management, pricing, claims and deductions, retail execution, or other CPG commercial processes. Experience with XTEL or a competing revenue management or enterprise Saa S platform. Experience with certification programs, learning management systems, or instructional design. Experience enabling systems integrators and global delivery partners. Experience using generative AI to accelerate content creation and enablement delivery. Working Model This is a fully remote role based in either the United States or European Union. The role requires collaboration with colleagues, partners, and customers across North America and Europe, with occasional travel for key enablement events, partner onboarding sessions, and team meetings. What We Offer Full remote working set-up Competitive Salary Package and Bonus scheme; A challenging role in a fast‑growing AI‑driven company; A diverse and international team with strong ownership and a can‑do mentality; Opportunities to contribute meaningfully to the organization’s growth and development. If you have strengths to share, we’d love to hear from you. We value diverse backgrounds and experiences, so don’t hesitate to apply even if you don’t meet all criteria. XTEL is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. #J-18808-Ljbffr

Non-Life Reserving Actuary Our client is a leading international insurance company with a strong presence across Europe and a long-term strategy focused on innovation, transformation, and operational excellence. As part of its continued investment in expanding international capabilities, the organisation has established a growing hub in Madrid that supports key business functions across multiple European markets. The hub plays an increasingly important role in delivering specialist actuarial, analytical, and technical expertise to international stakeholders. This is an excellent opportunity to join a business that combines the stability of an established insurance group with the dynamic environment of a growing international centre of excellence. Employees benefit from exposure to strategic initiatives, collaboration with senior stakeholders, and opportunities to contribute to projects that influence decision-making at Group level. The organisation promotes continuous learning, flexibility, collaboration, and professional growth within an international and multicultural environment. Non-Life Reserving Perform actuarial analyses to assess the adequacy of Non-Life reserves. Support reserving reviews across multiple business units. Analyse reserve developments, trends, and assumptions. Contribute to reserve governance and oversight activities. Actuarial Reporting and Analysis Support the production of actuarial reports and technical analyses. Evaluate payment patterns and reserve movements. Contribute to ad-hoc actuarial studies and business reviews. Assist in the assessment of reinsurance structures and reserving performance. Automation and Technical Development Develop and maintain actuarial tools and diagnostics. Drive automation initiatives aimed at improving efficiency and consistency. Create analytical solutions using Python and/or R. Contribute to process improvements and actuarial innovation projects. Data Analytics and Advanced Modelling Analyse large datasets to support actuarial decision-making. Perform data validation and reconciliation activities. Support data-driven initiatives and analytical projects. Contribute to the development of new actuarial methodologies and frameworks. Stakeholder Management Collaborate with Reserving, Pricing and Model Validation teams. Work closely with international actuarial colleagues and business stakeholders. Translate complex technical findings into meaningful business insights. Support cross-functional projects involving actuarial, finance, data and risk functions. Transformation and Modernisation Initiatives Participate in actuarial transformation programmes. Contribute to the enhancement of actuarial processes and controls. Support the adoption of new technologies and analytical approaches. Help build scalable actuarial solutions for a growing international business. Benefits Permanent opportunity with a leading international insurance company. Salary up to €50,000 plus a 12% annual bonus. Hybrid working model and flexible working hours. 26 days annual leave plus additional seasonal leave days. Pension plan with company contributions. Company-sponsored life insurance. Flexible benefits programme. Learning, training, and professional development opportunities. Exposure to international stakeholders and Group-level actuarial activities. Opportunity to work on automation, analytics, and transformation initiatives. Modern and collaborative working environment. Strong long-term career prospects within a growing international hub. Chance to combine actuarial expertise with data science, programming, and innovation in a role that goes beyond traditional reserving responsibilities. #J-18808-Ljbffr

Data Center Campaign - Expression of Job Interest Join to apply for the Data Center Campaign - Expression of Job Interest role at Arup Arup’s purpose, shared values and collaborative approach has set us apart for over 75 years, guiding how we shape a better world. We are seeking expressions of interest from those who would like the opportunity to join our Europe teams, promoting the growth of the Arup Data Centre Business. Arup offers a full range of data center consulting services, offering engineering, architectural, and management solutions for data centers’ entire lifespans. In this energy‑intensive industry, we help clients reduce carbon, enhance efficiency, and optimize operations to create resilient and future‑ready data centers. Join us and you’ll be part of a diverse and innovative team that is rethinking existing systems, reimagining new possibilities and redefining the process. The Opportunities At Arup, you belong to an extraordinary collective – we encourage individuality to thrive. Our strength comes from how we respect, share and connect our diverse experiences, perspectives and ideas. You will have the opportunity to do socially useful work that has meaning – to Arup, to your career, to our members and to the clients and communities we serve. As part of the Global Data Centre team, you’ll collaborate with some of the largest technology and data centre clients in the world. You will work closely with cross‑functional teams, including engineers, architects, project managers, and clients, to deliver cutting‑edge designs that ensure the reliability, efficiency, and scalability of data centre operations. From concept development and detailed design to construction oversight and commissioning, you will be instrumental in delivering projects of exceptional quality. Is this role right for you? We would like to speak to talent at all seniority levels and have opportunities across a breadth of skills, including but not limited to: Senior Mechanical Engineer (Data Centre) Senior Electrical Engineer (Data Centre) Associate Principal – Business Leader We’d Love To Hear From You If You Have Some Of The Below Skills And Experiences, Including But Not Limited To: Overall experience from the Data Center sector – preferably from the Data, Science or Technology industry. Preferably a degree within Engineering or a similar background. Advanced proficiency in the MS Office Suite. Fluent level of English – a second language would be an advantage (Spanish, Polish, Italian, German, Danish, Turkish, Serbian). Strong communication skills, ability to manage different stakeholder relations. What We Offer You At Arup, we care about each member’s success, so we can grow together. Guided by our values, we provide an attractive total reward package that recognizes the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive – through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do. We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup’s legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling members to share in the results of our collective efforts. Different people, shared values Arup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age, gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. We are an open environment that embraces diverse experiences, perspectives, and ideas – this drives our excellence. Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems, while cultivating a sense of belonging for all. Our internal employee networks support our inclusive culture: from race, ethnicity and cross‑cultural working to gender equity and LGBTQ+ and disability inclusion – we aim to create a space for you to express yourself and make a positive difference. Discover more about life at Arup at www.arup.com/careers/your-life-at-arup. We are committed to making our recruitment process and workplaces accessible to all candidates. Please contact Beatriz Estefania to let us know if you need any assistance or reasonable adjustments throughout your application or interview process, and/or to perform the essential functions of the role. We will do everything we can to support you. Stay safe online – Arup will never ask for your bank details as part of our recruitment process. DC2025 #J-18808-Ljbffr