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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

Boston Consulting Group (BCG) X in Madrid is seeking a Forward Deployed AI Scientist to partner with clients across industries, turning data science into business impact by framing challenges, designing algorithms, and deploying scalable solutions. You will collaborate with teams, lead thought leadership, and present findings clearly; fluency in English and Spanish is required, and you should enjoy building systems with modern tools and collaborating on code. #J-18808-Ljbffr

We’re building the future of medical dermatology by focusing on unmet patient needs and giving people the space to think independently, take ownership and make an impact that matters.Our purpose is simple: to transform patients’ lives by addressing real needs. We work with care, act with courage, keep things simple and focus our innovation where it makes a difference.Recognised as a Top Employer in Spain since 2008 and in Germany since 2025, we continue to invest in an environment where people can grow and move forward.If you care differently, you belong here.CORE RESPONSIBILITIESDevelop analytics and dashboards to support ongoing alliance management, including scientific progress, risk assessment, milestone tracking, and collaboration health.Contribute to the development of data standards, analytics tools, and knowledge management specific to project and alliance operations.Lead automatization and homogenization of visualization and report preparationLead and maintain the Partnerships and Experts database.Draft and closing collaborations and services agreements with public centres, P.O. preparation and follow-up of the R&D studies for the services.Lead the preparation and releasing of the R&D contents and Pipeline update on the Almirall corporate website with Information from the annual report, public information from PRs, R&D pipeline agreed with the CSO, in coordination with External Communication.Lead the submission of R&D reports including the bimonthly report to the RDPC.Support the R&D contents for the quarterly meeting with investors and the R&D materials in the symposia sponsored by Almirall.Manage the process of submitting R&D publications to the Sphere Platform, press release development and execution including drafting content for partnerships and publications in R&D following the internal procedures.Work in coordination with Internal and External Communication and guide the author of communication.Organize external visits to the R&D center. Organize the agenda and attendees in coordination with the corresponding leader of the visit.EDUCATION AND EXPERIENCELife science degree (e.g., biology, chemistry, biotechnology, or related field).Previous experience in research support, project coordination, or scientific operations is preferred.SKILLS & COMPETENCIESSolid understanding of scientific project workflows and research environments.Strong interest in digital innovation and the practical application of AI to improve operational efficiency.Strong organizational and coordination skills, with attention to detail.Proficiency in project tracking tools, office software, and collaboration platforms (e.g., Teams, SharePoint, Excel).Effective communication skills and ability to interact with multidisciplinary teams and external stakeholders.Proactive, adaptable, and solution-oriented mindset with a collaborative spirit.Proficiency in English #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

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

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

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

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

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

Lubrizol Corporation in Barcelona, Spain, seeks a Senior Manager, AI, Decision Science & Statistics to lead enterprise AI enablement and data-driven transformation across functions and sites. You will build high-performing teams, shape strategy for product development platforms, and partner with technology providers to scale AI initiatives across operations and supply chain. This role combines science, leadership, and global collaboration in a hybrid environment, with broad impact on performance #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

BASE life science is seeking a proactive Data Consultant to join our Spain team. You will operate at the intersection of technology, business, and the life sciences domain, with a strong emphasis on data migration projects and translating customer needs into structured technical logic. You will work with tools including Python, SQL, Excel, VS Code, and GitHub, collaborating closely with clients and colleagues to deliver compliant, data-driven solutions in a dynamic consulting environment. #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

Critically evaluate and provide detailed feedback on biology-related data, prompts, or content used in AI development workflows. Create, review, and refine scientific scenarios, questions, or explanations reflecting complex, real-world biological problems. Offer expert-level insights to ensure accuracy, relevance, and depth of AI training datasets and system outputs in the biological domain. Collaborate with platform teams to clarify ambiguities and improve data quality, coverage, and representativeness for biological subject matter. Document findings, methodologies, and rationale to support transparency and reproducibility in project deliverables. Participate in iterative review cycles and ongoing evaluation to enhance the AI system’s capabilities in biology. Engage in knowledge-sharing sessions with interdisciplinary experts, contributing to the enrichment of project outcomes. Job Description Role Title: Biology ExpertRole Type: ContractLocation: RemoteScope Of Work Critically evaluate and provide detailed feedback on biology-related data, prompts, or content used in AI development workflows. Create, review, and refine scientific scenarios, questions, or explanations reflecting complex, real-world biological problems. Offer expert-level insights to ensure accuracy, relevance, and depth of AI training datasets and system outputs in the biological domain. Collaborate with platform teams to clarify ambiguities and improve data quality, coverage, and representativeness for biological subject matter. Document findings, methodologies, and rationale to support transparency and reproducibility in project deliverables. Participate in iterative review cycles and ongoing evaluation to enhance the AI system’s capabilities in biology. Engage in knowledge-sharing sessions with interdisciplinary experts, contributing to the enrichment of project outcomes. Preferred Qualifications Ph D in biology or a closely related life science discipline. Demonstrated expertise in core biological principles with the ability to contextualize complex topics for diverse audiences. Exceptional written and verbal communication skills, ensuring clear articulation of feedback and scientific reasoning. Experience with scientific data analysis, critical evaluation of research, and synthesis of intricate subject matter. Proven ability to work independently, consistently delivering high-quality outputs within defined project frameworks. Prior contributions to interdisciplinary scientific or technology-focused projects (exposure to AI is a plus but not mandatory). Keen attention to detail, consistency, and a passion for promoting scientific rigor and accuracy. #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

Overview The Reporting & Analytics Organization (R&A) is a global organization responsible for all the data management, reporting and analytics for the Commercial Organization, Category, Finance, Supply-Chain and Customer Support – globally and including Regions, Market and Country level reporting. The Business Management Solutions (BMS) team is part of the global R&A team and is responsible for delivering data and analytics solutions to Enterprise Business Planning, Category and Sales Operations teams. Objective We are seeking a highly skilled and experienced Techno Functional SME specializing in Business Intelligence (BI) solutions on the Azure platform. In this role, you will be responsible for designing, developing, and implementing robust BI solutions using various Azure services and tools. You will collaborate with cross-functional teams, including business stakeholders, data engineers, data scientists, and developers, to ensure the successful delivery of BI solutions that meet business objectives. Responsibilities Collaborate with business stakeholders to understand their BI requirements and translate them into technical specifications and solution designs. Design and develop end-to-end BI solutions on the Azure platform, leveraging services such as Azure Data Factory, Azure SQL Data Warehouse, Azure Analysis Services, Azure Databricks, and Power BI. Lead and participate in the development and implementation of data integration, data modeling, ETL/ELT processes, data transformation, and data visualization components. Conduct performance tuning, optimization, and troubleshooting of BI solutions to ensure efficient and scalable data processing and reporting capabilities. Collaborate with data engineers to ensure the availability, integrity, and security of data across Azure services and environments. Stay up to date with the latest Azure services, tools, and industry trends, and evaluate their potential application and benefits to enhance existing BI solutions. Collaborate with project managers and other stakeholders to define project scope, timelines, and deliverables, and actively contribute to project planning and estimation. Participate in knowledge sharing activities, conduct workshops, and contribute to the development of BI solution frameworks, standards, and documentation. Act as a liaison between business users, IT teams, and management. Facilitate effective communication, gather feedback, and ensure alignment between business objectives and technical solutions. Qualifications and Experience Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Extensive experience (8+ years) in designing and implementing BI solutions. In-depth knowledge and hands-on experience with Azure Data Factory, Azure SQL Data Warehouse, Azure Analysis Services, Azure Databricks, and Power BI. Strong understanding of data integration, data modeling, ETL/ELT processes, data warehousing concepts, and data visualization techniques. Proficient in SQL and experience with SQL-based querying, scripting, and optimization. Experience with programming languages such as Python, R, or PowerShell for data manipulation and automation. Demonstrated ability to analyze complex business requirements and translate them into scalable and efficient BI solutions. Strong problem-solving and troubleshooting skills with the ability to identify and resolve issues in a timely manner. Excellent communication skills with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders. Added advantage if working experience or knowledge of ThoughtSpot, Machine Learning, AI. Experience of MPP databases like Teradata, Vertica or Netezza will be an added advantage. #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

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 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

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

As a Certification Specialist, you are responsible for formal PCI PTS HSM certifications for the Utimaco Information Security (IS) products. You are also responsible for maintaining and improving the payment certification strategy. Responsibilities Collaborate with the responsible assessors and certification authorities, as well as with colleagues from software development and product management; Identify, pursue, and access security requirements for PCI PTS HSM approvals; Being responsible for the successful certification and sustainable security architecture of our IS product lines; Further develop the holistic governmental data security approval strategy; Collaborate with the rest of the certification team to further certify data security products according to Common Criteria, FIPS, PCI, and other certification schemes; Assist in developing a strategy to enable Utimaco to process more certifications efficiently within an agreed timeframe, utilizing also onsite regional presence; Actively support the team to meet all commitments and deadlines; Qualifications You have a University degree in Technical Engineering, Computer Science, or equivalent; You have a track record of successfully leading PCI PTS HSM approvals, Common Criteria, or FIPS 140-3 approval projects with approval bodies through the full project lifecycle – specification to delivery; You are experienced in security architectural design; You are experienced in Certification Lab and Customer communication on complex certification topics; You have experience in writing technical documentation, system security architecture documents, functional specifications and process descriptions/workflows; ideally operated in the Information Technology sector at a product manufacturer as a developer or architect; You have excellent verbal & written communication and presentation skills in English/German; Benefits An open and friendly corporate culture characterized by constructive and collaborative interaction; We provide you with support for your future plans with a company pension scheme (depending on country‑specific circumstances); Early risers and night owls – thanks to a flexible working model you can organise your working day yourself; We also support you privately – benefit from special payments or additional vacation days on anniversaries or other special occasions; Utimaco is growing and living diversity! Our global team includes colleagues from 42 nationalities and 45 different languages spoken; #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

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

Satispay is seeking a Fraud Data Analyst to secure the future of digital payments by building real-time defense strategies. You will architect a fast decisioning engine and translate fraud patterns into high‑performing rules, while collaborating with data science to operationalize ML models and maintain a user-friendly security experience. Ideal candidates have 3–7 years in risk/payments, strong SQL/Python skills, and fluency in English. #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

Senior AI Engineer Role Purpose A key member of a team, responsible for designing, developing, and deploying AI solutions that drive business value. To develop and operationalize AI capabilities leveraging Databricks on Microsoft Azure, and build the understanding of how AI can transform business processes through a series of use cases. Key Responsibilities Act as the department's AI & Cloud Architecture SME, providing strategic leadership and expert guidance on AI (Machine Learning, Generative AI, LLMs, Agentic AI) and Microsoft Azure technologies. Design, build, test, and optimize scalable AI and cloud architectures on Azure, ensuring secure, reliable, and efficient data processing, storage, and integration. Develop and implement AI-powered solutions leveraging Azure OpenAI Service, Databricks, and other cloud-native technologies to deliver high-value business outcomes. Evaluate, select, and integrate foundation models, third-party AI services, and emerging technologies, ensuring alignment with business goals and technical standards. Establish and maintain best practices, governance frameworks, operating procedures, and documentation for AI, data, and cloud platforms. Collaborate with cross-functional teams to provide technical leadership, support major initiatives, and champion AI adoption across all areas of the organization. Drive innovation and continuous improvement by staying current with advancements in AI, cloud computing, data engineering, and industry best practices. Experience & Qualifications 5+ years of experience in AI/ML engineering, including at least 2 years specializing in Generative AI, NLP, LLMs, or Agentic AI solutions. Proven experience designing and delivering enterprise-scale AI, data, and cloud solutions using Microsoft Azure and Databricks platforms. Strong hands-on expertise in Python, SQL, Spark, Azure AI services, Azure OpenAI, Azure Data Lake, Databricks, MLflow, Delta Lake, and model-serving technologies. Demonstrated experience building and deploying LLM-based applications, including prompt engineering, RAG architectures, vector databases, AI agents, and orchestration frameworks such as LangChain or LlamaIndex. Proven track record of leading AI, data, or technology projects and mentoring technical teams in AI/ML development, solution design, and implementation. Experience with MLOps practices, model lifecycle management, monitoring, fine-tuning techniques (LoRA, RLHF, instruction tuning), and CI/CD automated delivery pipelines. Degree in Computer Science, Data Science, Machine Learning, or a related field (Master's or PhD preferred), with relevant certifications such as Microsoft Azure AI Engineer Associate or Databricks Machine Learning Professional; insurance or financial services experience is an advantage. What We Offer: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad. We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program, and multiple employee discounts (details vary by location). From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery, and empowerment are fostered. Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support balancing family and career and help our people return from career breaks with valuable experience. Access to over 10,000 on-demand learning resources and programs supports you in taking control of your career development. Actual work-life balance policies: entry-leave flexibility of 2 hours every day, reduced schedule on Fridays and during summer, 26 holiday days per year, recoverable working hours, as well as a hybrid workplace model. Relocation service for international transfers. An open and international working environment. About Allianz Technology With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimize, transform, and innovate the infrastructure, applications, and services together with Allianz companies to co-create the best customer experience. We service the entire spectrum of digitalization - from one of the industry's largest IT infrastructure projects that spans data centres, networks, and security, to application platforms ranging from workplace services to digital interaction. In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz. Find us at: www.linkedin.com/company/allianz-technology. Commitment to Integrity, Fairness & Inclusion Allianz Technology is proud to be an equal opportunity employer dedicated to fostering an inclusive work environment for everyone. We embrace individuals of all gender identities and expressions, sexual orientations, ethnicities, ages, nationalities, religions, disabilities, and philosophies of life. Ultimately, our greatest strength as a company lies in the unique skills, experiences, and backgrounds our employees contribute. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. #J-18808-Ljbffr

We're a forward-deployed AI engineering firm that partners closely with clients to build and deploy tailored AI solutions. We focus on transforming complex business challenges into practical, production-grade technology that generates measurable impact. We emphasize co-development, working side by side with client teams to accelerate innovation and delivery. Team members join a fast-moving environment where applied AI, engineering excellence, and business outcomes intersect. As a Forward Deployed AI Engineer at Quantrue, you will work directly with clients to design, build, and deploy AI-driven software solutions that address real-world business problems. On a day-to-day basis, you will collaborate with cross-functional stakeholders to understand requirements, prototype and implement backend services, integrate AI components, and ensure systems are robust, scalable, and maintainable. You will contribute to end-to- end development, from data processing and model integration to API design, testing, and monitoring in production environments. You will also participate in architectural discussions and knowledge sharing to support sustainable, high-quality engineering practices. This is a full-time hybrid role based in Madrid, with a mix of on-site collaboration (either at our client's offices our ours) and flexibility for work-from-home. Required qualifications University: technical master's or Ph D degree (engineering, computer science, physics, maths, etc.). Expertise in ML/DL/AI methodologies. User of an agentic developer workbench (Git Hub Copilot, Claude Code, Codex,...). Proficiency in programming, with experience delivering production-ready code. Python is a must. Experience in Dev Ops/MLOps practices, advanced Git. Experience working with AI/ML systems (e.g., integrating models, data pipelines, Lang Graph). Familiarity with cloud platforms (such as AWS, GCP, Azure) and/or containerization/orchestration tools (e.g., Docker, Kubernetes). Nice to have: solid understanding of Object-Oriented Programming principles and their application in modern codebases. Ability to collaborate with non-technical stakeholders, translate business needs into technical solutions, and communicate clearly in English; Spanish proficiency is a plus. Comfort operating in client-facing environments, with a proactive mindset and willingness to work in a hybrid setup in Madrid. Recent graduates are welcome. Experience in consulting will be a plus. Primary location: Madrid (Spain). Job type: full time with a hybrid remote-office setting. #J-18808-Ljbffr

As a Senior / Lead Gen AI Engineer, you will design, build and scale production-grade Generative AI solutions for a leading company in the banking sector, taking technical ownership from architecture through deployment, in a fully remote role. Don't tick every box? If you meet around 70% of the requirements above, we'd still encourage you to apply. About The Role We are looking for a Senior / Lead Gen AI Engineer with deep, hands-on expertise in Python and Large Language Models to design, build and scale Generative AI solutions for a leading banking sector client. In this role, you will take technical ownership of Gen AI initiatives end-to-end — from architecture and prototyping through to secure, compliant production deployment — while mentoring engineers and partnering with business, risk and compliance stakeholders to ensure solutions meet the standards of a highly regulated environment. Key Responsibilities Gen AI Solution Design & Delivery Design, build and deploy production-grade Generative AI solutions (RAG pipelines, conversational assistants, multi-agent systems) using Python and modern LLM frameworks. Lead prompt engineering, chain-of-thought orchestration, structured output parsing, guardrails and evaluation pipelines for LLM-based applications. Architect and own RAG pipelines end-to-end: document ingestion, chunking, embeddings, vector store management and retrieval optimization. Platform & MLOps Deploy and operate Gen AI applications on cloud infrastructure (AWS, Azure or GCP), with a focus on scalability, security and cost optimization. Implement evaluation and monitoring frameworks for AI systems: response quality, latency, hallucination detection and feedback loops. Define MLOps practices for LLM-based systems: versioning, automated evaluation and production monitoring. Leadership & Stakeholder Management Act as technical lead for Gen AI initiatives, mentoring engineers and setting technical direction. Translate business requirements from banking stakeholders (risk, compliance, customer experience) into robust technical solutions. Partner with architecture, security and compliance teams to ensure Gen AI solutions meet the regulatory standards of the banking sector. Required Skills & Experience 5+ years of experience in software engineering, with significant hands-on experience building Generative AI / LLM-based solutions in production. Expert-level Python skills, including experience with modern Gen AI frameworks (Lang Chain, Llama Index or equivalent). Deep understanding of LLM concepts: RAG architectures, embeddings, prompt engineering, fine-tuning and evaluation methodologies. Hands-on experience integrating LLM providers (Open AI, Anthropic, AWS Bedrock, Azure Open AI) into production systems. Experience with vector databases (Pinecone, Open Search, FAISS, Weaviate) and embedding optimization. Solid cloud experience (AWS, Azure or GCP) for deploying and scaling AI workloads. Strong understanding of data security, privacy and regulatory considerations relevant to the banking / financial sector. Proven ability to lead technical initiatives and mentor engineering teams. Fluent English. NICE TO HAVE Experience designing multi-agent or agentic AI workflows. Familiarity with AI observability tools (Langfuse, Weights & Biases, Helicone). Prior experience in banking, financial services or other highly regulated industries. Experience with MLOps practices and model governance frameworks. EDUCATION Degree in Computer Science, Software Engineering, AI/ML or a related field. Preferred Certifications AWS, Azure or GCP ML/AI certifications, a plus. WORKING MODEL Fully remote position. #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

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

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. We are looking for a highly motivated and experienced SAP Finance & Reporting specialist who is passionate about designing with us the next generation of our Finance landscape based on the SAP BW/4 HANA suite. YOUR CHALLENGE Drive with us the complete redesign of the finance system landscape at Julius Baer based on SAP BW/4 HANA Understands the overall requirements and solution design across multiple workstreams and help us to implement specific work packages Analyse the existing data and reporting flows and improve the future set-up YOUR PROFILE Good understanding and demonstrable experience (2 years +) in SAP BW/4 HANA Modelling BW/4 HANA objects such as ADSO transformations, etc Developing ABAP Managed Database Procedures (AMDPs) with table functions Creating SAP HANA calculation views (including SQL-based ones) Designing ABAP Core Data Services (CDS) views Ability to manage the entire development lifecycle (including testing and documentation) Good communication and presentation skills, confident appearance Independent, resilient and team player with excellent problem-solving skills Entrepreneurial mindset, coupled with the willingness to take responsibility and willingness to learn Master's degree in economics, business administration, banking, quantitative finance, (business) informatics, data science or a comparable field of study Fluent in English, German is a plus Wealth Management/Banking and Finance Knowhow is a plus Knowledge of SAP FSDM, SAP Pa PM is a plus #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

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

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Product Manager, Payments Infrastructure based in Spain. As a Product Manager, Payments Infrastructure, you will shape the core systems that enable secure, reliable, and scalable money movement across multiple markets and currencies. You will own the technical roadmap for payment processing, settlement, ledger systems, virtual accounts, and banking integrations. Working closely with Engineering, Product, Treasury, and Compliance, you will ensure transactions are processed accurately, efficiently, and on time. You will help optimize payment routing, liquidity management, and cross-border settlement across traditional banking and stablecoin networks. This role offers the opportunity to influence critical infrastructure decisions in a fast-moving fintech environment serving emerging markets. You will combine technical product expertise with strategic thinking to strengthen system resilience, expand payment capabilities, and support sustainable growth. Accountabilities Own and execute the technical roadmap for core payment infrastructure, including payment rails, ledger systems, settlement engines, currency conversion, and virtual account capabilities. Lead the development of virtual accounts and Virtual IBAN infrastructure to support customer-facing payment experiences and evolving business needs. Collaborate with the Payment Experience Product Manager to align infrastructure capabilities with customer requirements and translate upcoming product needs into technical priorities. Evaluate, prioritize, and oversee integrations with banking partners, liquidity providers, and stablecoin settlement networks, balancing cost, speed, reliability, and market coverage. Own transaction processing, settlement, and reconciliation systems to ensure accurate, timely, and reliable movement of funds across multiple currencies and payment networks. Define payment routing and currency conversion strategies, selecting the most appropriate rails for individual transactions and supporting settlement through networks such as USDC, USDT, and PYUSD. Partner with Engineering on architecture decisions involving APIs, distributed systems, data consistency, idempotency, error handling, and reconciliation. Work with Treasury to incorporate liquidity requirements, funding models, and payment corridor coverage into infrastructure design. Collaborate with Compliance to embed regulatory, licensing, and market-specific requirements into payment infrastructure from the outset. Define and monitor infrastructure performance metrics, including transaction success rates, settlement times, system uptime, reconciliation accuracy, and incident frequency and severity. Work with Engineering on capacity planning, incident response, scalability improvements, and the prioritization of technical debt that could affect reliability or future growth. Document infrastructure capabilities, limitations, partner integrations, and corridor-specific requirements to support Product, Engineering, and go-to-market teams. Requirements At least 5 years of Product Management experience, including 3 or more years working with payment infrastructure, payment rails, ledger systems, or core banking and transaction platforms within fintech or crypto. Strong technical fluency, with the ability to engage in detailed architecture discussions covering APIs, distributed systems, data consistency, transaction processing, and system reliability. A bachelor's or master's degree in Engineering, Computer Science, Product Management, or a related field. Professional fluency in English, both written and spoken. Experience collaborating effectively with cross-functional teams across different disciplines, markets, and time zones. Strong organizational and prioritization skills, with the ability to manage competing demands, meet deadlines, and deliver results in a fast-paced environment. Demonstrated ability to make informed trade-offs between speed, cost, scalability, and reliability when defining technical product priorities. Experience with stablecoin or cryptocurrency settlement networks is a plus. Experience integrating banking partners, working with correspondent banking networks, or managing cross-border payment rails is a plus. Strong communication and documentation skills, with the ability to explain complex infrastructure capabilities and technical constraints to both technical and non-technical stakeholders. Benefits Meaningful impact: Contribute to expanding financial inclusion and improving access to financial infrastructure across emerging markets. Remote-first flexibility: Work in a fully remote environment. International collaboration: Join a diverse, multicultural team of professionals working across more than 25 countries. Learning and development: Access resources, support, and autonomy to develop your skills and advance your career. Mental health support: Benefit from services designed to support your mental well-being. Competitive compensation: Receive a competitive compensation package aligned with the role and experience. Health coverage: Access meaningful healthcare benefits. Equity participation: Participate in the stock option plan available to full-time employees. Full-time opportunity: Take ownership of critical payment infrastructure initiatives with opportunities to influence technical strategy and long-term product development. We appreciate your interest and wish you the best! #J-18808-Ljbffr

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function Data Analytics & Computational Sciences Job Sub Function Data Science Job Category Scientific/Technology All Job Posting Locations: Madrid, Spain, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine About The Opportunity Johnson & Johnson Innovative Medicine is seeking a Senior Data Scientist dedicated to our Biologics Discovery organization. This role sits within our Data, Data Science & Artificial Intelligence team (DDSAI) and partners closely with our In Silico Discovery (ISD) organization - the group that builds the molecular design and property-prediction models (for example, developability, affinity and binding, and other molecular-property and liability-risk models) that guide which biologic molecules to design, make, and advance. ISD owns core molecular model development; you will build the data-facing ML capabilities (featurization, model-ready datasets, evaluation frameworks, and applied models on assay and sequence data) that make ISD's models faster to build and better to trust. This position will be based at one of our office locations in either Spring House, PA (strongly preferred), Titusville, NJ, or Raritan, NJ, USA; or Madrid, Spain. (No remote option.) Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): USA - Requisition Number: R-095854 Spain - Requisition Number: R-096793 Why this role matters: Biologics Discovery is generating rich, fast-growing data across assays, sequences, and modalities, and the opportunity now is to make that data fully model-ready and seamlessly available for ML. This role ensures biologics data is structured for training, and that applied ML on discovery data helps scientists prioritize molecules, flag risks, and generate hypotheses earlier - strengthening the interface to ISD's models rather than duplicating them. Position Summary You will design robust featurization and dataset curation, build and evaluate applied models on biologics assay, biophysical, and sequence/construct data, and define evaluation frameworks that keep models trustworthy. You operate at the interface between our data-generating and data-infrastructure partners and In Silico Discovery (ISD), ensuring the datasets and features you create strengthen ISD's molecular property models. This is an opportunity to shape how AI learns from every biologics experiment. Key Responsibilities Featurization & Model-Ready Data Develop featurization and model-ready datasets from antibody/protein sequence, construct, assay, and biophysical data. Work with data engineers to specify the features, labels, and levels of aggregation that models need, preserving raw representations where information matters. Curate, document, and version datasets so modeling is reproducible and traceable. Applied ML & Evaluation Develop featurization and model-ready datasets from antibody/protein sequence, construct, assay, and biophysical data. Work with data engineers to specify the features, labels, and levels of aggregation that models need, preserving raw representations where information matters. Curate, document, and version datasets so modeling is reproducible and traceable. Partnership, Rigor & Growth Collaborate with ISD to hand off standardized, traceable training datasets and align on where Data Science enables versus where ISD owns modeling. Partner with Discovery scientists to frame ML problems around real decision points in the design-make-test-learn (DMTL) cycle. Work closely with ontology and MLOps colleagues so datasets carry consistent semantics and models move reliably from development into use. Champion reproducibility, documentation, and responsible AI. Why This Role Is Unique This is an opportunity to apply ML where it truly moves the needle in biologics discovery - grounded in real assay and sequence data, tightly partnered with world-class molecular modeling, and with real room to grow your scope, technical leadership, and impact as you build a track record of delivery. Qualifications Required Master's or Ph.D. in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, or a related field. At least 2 years of applied ML experience, including model development, evaluation, and dataset curation on complex scientific or biomedical data. Strong proficiency with Python and the modern ML stack (e.g., PyTorch, scikit-learn) and SQL. Experience turning complex, heterogeneous experimental data into robust features and training sets, with exposure to cloud training and data infrastructure. Sound understanding of evaluation, validation, and the risks of leakage and distribution shift. Ability to collaborate effectively with experimental scientists and modeling partners in a matrixed R&D environment. Preferred Experience with biologics, antibody/protein sequence models, or protein language models. Experience with active learning, Bayesian optimization, or sequence-based generative models for molecular design. Familiarity with biophysical/assay data and developability endpoints. Experience with MLOps, experiment tracking, and model monitoring. Familiarity with how ontologies or knowledge graphs support data reuse and AI-ready datasets. The anticipated base pay range for this position is $109,000 to $174,800. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Employees Are Eligible For The Following Time Off Benefits Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #J-18808-Ljbffr

About TTS-US: Founded in 2011, Toyota Tsusho Systems US, Inc. (TTS-US) is a Toyota group company, that develops IT solutions wherever global businesses operate. Transforming into a technology and mobility company, TTS-US with it's 8 TTS affiliates worldwide is establishing a secure and resilient Toyota global value chain. The creative capacity to forge such limitless business opportunities is one of the strengths of Toyota Tsusho Systems. Position Summary: We are seeking a Principal Network Architect for our Guadalajara, MX locations to serve as a senior technical authority responsible for shaping enterprise network architecture, technology strategy, and major transformation initiatives across a large and complex environment. This role operates at the intersection of enterprise architecture, advanced engineering, and technology strategy. The Principal Network Architect will define architectural direction, establish technical standards and guardrails, evaluate emerging technologies, lead complex technology decisions, and provide technical leadership across critical network initiatives. The successful candidate will bring deep technical expertise, exceptional architectural judgment, and the credibility to engage at an expert level with senior engineers, architects, technology vendors, and executive stakeholders. This individual must be equally comfortable defining long-term architecture strategy and engaging deeply in complex technical and implementation decisions. Key Responsibilities Architecture & Technology Strategy Define and evolve enterprise network architecture principles, reference architectures, design patterns, technical standards, and implementation guidelines. Assess current-state architectures, identify technical debt, risks, and opportunities, and establish pragmatic modernization roadmaps aligned with business and technology strategy. Provide architectural direction for complex, multi-domain network initiatives and ensure solutions are scalable, resilient, secure, and operationally sustainable. Evaluate emerging networking technologies and determine their applicability to the enterprise environment. Technical Leadership & Decision Making Serve as a senior technical authority for complex architecture and engineering decisions. Lead architecture reviews and technical design discussions, challenging assumptions and driving decisions based on sound engineering principles and business objectives. Provide architectural leadership for major implementations, migrations, and transformation initiatives. Provide architecture-level guidance on highly complex or escalated network issues, ensuring root causes are understood and durable remediation strategies are implemented. RFP, Vendor & Partner Leadership Lead or significantly influence complex RFPs, technology evaluations, and supplier selections. Define technical requirements, evaluation criteria, and architectural principles used to assess proposed solutions. Critically evaluate vendor architectures and recommendations, challenge assumptions where appropriate, and ensure proposed solutions align with enterprise requirements. Establish and maintain strong technical relationships with strategic technology vendors and service providers. Cross-Functional Leadership Partner with engineering, operations, cybersecurity, infrastructure, application, and business teams to develop and execute enterprise network solutions. Communicate complex technical concepts and architectural trade-offs with clarity and credibility to both technical and non-technical stakeholders. Build consensus across diverse stakeholders while maintaining architectural integrity and technical standards. Provide technical leadership and mentorship to engineers and other architects. 8+ years of network architecture and design experience and 15+ years of overall enterprise networking experience. Bachelor’s degree in computer science, information technology, electrical engineering, or a related field preferred or equivalent experience Hands-on architecture and implementation experience with Cisco IOS, Cisco ACI, enterprise wireless, Cisco Catalyst Center/DNAC, and Cisco SDA. Deep and broad expertise across enterprise networking domains, including LAN, WAN, data center, wireless, network security, and cloud connectivity, with the ability to architect integrated end-to-end solutions. Exceptional architectural judgment and the ability to translate complex business and technical requirements into scalable, resilient, secure, and operationally sustainable architectures. Proven ability to lead complex RFPs and technology evaluations, establish technical requirements and evaluation criteria, and present well-founded recommendations to senior and executive leadership. Demonstrated ability to lead high-level technical discussions, challenge established approaches, and influence architecture decisions through strong technical reasoning and credibility. Exceptional communication and influencing skills, with the ability to build consensus across senior engineers, architects, business leaders, vendors, and other stakeholders. Proven ability to establish and manage strategic technical relationships with major technology vendors and service providers, including the ability to independently assess and challenge vendor recommendations. Demonstrated ability to operate effectively at both the strategic architecture level and the hands-on technical level. Preferred Qualifications Proven experience architecting and evolving highly complex, large-scale, distributed enterprise networks within manufacturing or other mission‑critical environments where availability, security, and operational continuity are critical. Track record of architecting and leading large-scale network transformation and modernization programs, including enterprise-wide migrations, segmentation, and adoption of software‑defined networking architectures. Demonstrated ability to leverage network automation, infrastructure‑as‑code, AI‑enabled operations, and advanced network analytics to improve network scalability, consistency, observability, and operational efficiency. Recognized industry credentials demonstrating advanced technical expertise, such as CCIE or equivalent. Equivalent depth of hands‑on expertise and industry recognition may be considered in lieu of formal certification. Experience with manufacturing/OT networking, network security and firewalls, Cisco ISE, enterprise WAN, IPAM/DNS/DHCP platforms, private 5 G, Service Now, and network monitoring/observability. Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) #J-18808-Ljbffr

At Technosylva, we are looking for a Cloud Architect to join our IT Infrastructure team, a cross-functional team that supports both of the company's business units (Technosylva and KatRisk). The Cloud Architect's primary mission will be to act as the cloud architecture reference for the IT Infrastructure team, guiding the evolution of the infrastructure under our scope, leading the standardization, integration, and governance of our AWS and Azure environments, and driving cross-cutting initiatives such as FinOps at the organizational level. This role is particularly relevant given the current growth of the KatRisk business unit, which has recently incorporated several companies through M&A, each with its own legacy cloud environment. The Cloud Architect will be responsible for consolidating and harmonizing those environments, defining common architectural patterns, and establishing the foundation for a sustainable, secure, and financially efficient cloud operation. In addition to their standardization work, they will provide support to KatRisk's engineering and modeling teams, acting as a technical partner in cloud solution design, technology evaluation, and the resolution of complex challenges. We are looking for an architect with strategic vision, strong ability to influence, and deep multi-cloud technical expertise, someone capable of balancing long-term solution design with the day-to-day pragmatism required in a post-M&A integration scenario. RESPONSIBILITIES Standardize and govern the cloud architecture, including managed databases, by establishing common standards, patterns, and guardrails for AWS and Azure environments. Drive a company-wide FinOps strategy: tagging policy, cost visibility and attribution, optimization, and showback models across business units. Ensure that security and compliance controls (ISO 27001, SOC2, or other relevant frameworks) are embedded into the cloud architecture by design. Provide technical leadership for the consolidation and integration of legacy cloud environments inherited from M&A activity within the KatRisk business unit, harmonizing operations, connectivity, observability, and security. Provide architectural support to KatRisk teams, acting as a technical partner in the design of new solutions, the evolution of existing ones, and the resolution of complex problems. Enable sustainable, resilient 24/7 operations through runbook creation, operational automation, Disaster Recovery strategies, and infrastructure design that facilitates incident response and on-call rotations. Document architectural decisions, reference patterns, and guides for consuming teams, fostering a culture of ownership, transparency, and continuous learning. Promote Infrastructure as Code across environments within the team's scope, with reusable Terraform modules, Ansible playbooks and standardized deployment workflows. Provide technical mentorship to the IT team and KatRisk teams that need it, raising overall cloud maturity. Evaluate and recommend the adoption of new cloud services and technologies, assessing their impact on performance, reliability, cost, and operability. REQUIRED QUALIFICATIONS Proven experience (8–10+ years) in cloud infrastructure engineering, with at least 4–5 years in cloud architect or technical reference roles. FinOps experience: tagging strategy definition, cost visibility and attribution models, optimization (Savings Plans, Reserved Instances, Commitments), rightsizing, and driving a cost-aware culture across engineering teams. Hands-on experience with AWS and Azure as cloud providers, including production-grade design and operation of workloads and managed services on both. Strong experience with Terraform and Ansible. Experience leading cloud integration or consolidation efforts, workload migrations, and connectivity harmonization. Experience in multi-tenant SaaS environments or product platforms. Experience preparing cloud infrastructure for sustainable, resilient 24/7 operation: runbook definition, operational automation, Disaster Recovery strategies (RTO/RPO), and design oriented toward effective incident response. Full professional English proficiency required. PREFERRED QUALIFICATIONS Experience with compute-intensive workloads, large-scale storage, or scientific data pipelines. Prior experience in post-M&A or multi-company environments. Experience addressing inherited technical debt in cloud environments, particularly in consolidation or standardization scenarios. Familiarity with CI/CD applied to infrastructure: GitOps, Terraform pipelines, automated validation, and promotion across environments. Experience with cross-cutting observability tooling (Grafana stack, CloudWatch, Azure Monitor). Architect-level cloud certifications: AWS Solutions Architect Professional and/or Azure Solutions Architect Expert. EDUCATION Degree or certifications in Computer Science, Computer Engineering, Systems Administration, or Software Development. English certifications are a plus. BENEFITS Competitive annual salary. Private health insurance and a flexible benefits plan, allowing you to tailor part of your compensation package to your personal needs. Annual bonus based on individual performance and company results. Remote work options. DISCLAIMER Final salary and benefits will depend on a variety of factors, including location, experience, training, qualifications, and market conditions. EQUAL OPPORTUNITY STATEMENT Technosylva is an Equal Opportunity Employer. We are committed to fostering an inclusive environment where diverse perspectives lead to better solutions. #J-18808-Ljbffr