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The QA Officer has an important supportive role in the quality assurance of distribution and logistics operations and to ensure that activities continue to meet the requirements of GDP and GMP regulations. Contributes to the development and maintenance of the Company quality policies and systems to ensure that business objectives are met for the distribution programs for AbbVie Logistics. Providing operational support to the planning and customer service department to ensure that shipments are prepared and facilitated in a compliant manner meeting all requirements. Contribute to the continuous improvement of the local quality system by participating and advising in new documentation change requests of procedures and SOP’s, contributing to internal audits and dealing with the investigation of distribution complaints and exceptions. Highlighted Responsibilities: Continuously executes the operational processes related to the assigned quality system(s) Advises staff in relation to these systems, on how to execute the applicable activities in compliance with the GxP guidelines, AbbVie policies and other applicable regulations to ensure product quality and patient safety. Continuously evaluates the performance of the assigned quality system through performance management (metrics) and initiates and implements improvement programs accordingly. Maintains the documentation related to the assigned quality system, according to GDP/GMP guidelines and AbbVie policies. Supports and executes training on good distribution and manufacturing practices and based on AbbVie’s principles of quality assurance. Participates actively in QA projects and supports Continuous Improvement activities in the organization by participating in project working teams. Executes the appropriate change management impacting documentation, training, and quality systems. Contributes to the continuous improvement and compliance of the local quality system by participating and advising in new documentation change requests of procedures and SOP’s, contributing to internal audits and dealing with the investigation of exceptions. Bachelor with relevant specialization, preferably in pharmaceutics, biology or another life science. 2+ years’ experience with implementing and maintaining quality systems in a pharmaceutical (GDP) environment is preferred. Knowledge of Good Distribution Practices (GDP) and/or Good Manufacturing Practice (GMP) is considered an advantage. Accurate, persuasive, honest, decisive, analytical, result-oriented; Excellent writing and communication skills in English. Preferably experience with working in SAP, or similar ERP system and TrackWise; Able to step up and take leadership to own challenges. Persistent and resilient when confronted with obstacles – finds the way. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

This Senior Business Systems Engineer, AI Capability Lead will provide independent technology leadership, solution shaping, and technical decision support for Medical Affairs and Health Impact (MHI) and related business areas, serving as the primary MHI Business Technology Solutions (BTS) technology point of coordination for AI-related capabilities and initiatives. This role will translate business problems and opportunities into technology capabilities, solution options, feasibility considerations, and scalable approaches that leverage AbbVie enterprise platforms, standards, and reusable services. This role will own and maintain the integrated MHI AI technology roadmap as a technology planning artifact, connecting active and planned AI initiatives to longer-term MHI capabilities and broader AbbVie and IR AI strategies in partnership with BRMs, architects, platform teams, engineering teams, and IR development organizations. Responsibilities: Engage MHI business stakeholders, BRMs, BTS colleagues, and technical teams to understand business drivers, system needs, and AI opportunities. Identify process improvements, reuse opportunities, and key technology, data, architecture, security, privacy, compliance, and delivery risks. Own and maintain the integrated MHI AI technology roadmap as a planning artifact. Consolidate visibility across planned and active MHI AI initiatives; identify dependencies, overlaps, gaps, reuse opportunities, architectural considerations, and sequencing implications; connect individual initiatives to longer-term MHI capabilities; and align the roadmap with BRM-led priorities and broader AbbVie and IR AI strategies, platforms, and roadmaps. Shape scalable AI-enabled solutions by translating business problems and opportunities into technology options, requirements, feasibility considerations, and roadmap recommendations. Evaluate build, buy, reuse, and enterprise platform options in collaboration with architects, platform owners, security, privacy, compliance, and delivery teams. Ensure appropriate alignment with AbbVie enterprise architecture frameworks, approved AI platforms and solution patterns, engineering and development standards, data and integration standards, security and privacy requirements, responsible AI expectations, compliance requirements, and reusable services. Promote enterprise adoption to avoid unnecessary local, isolated, or duplicative solutions. Serve as a primary MHI BTS interface with internal IR development teams, enterprise architects, platform teams, engineering teams, and technical SMEs for AI-related work. Engage technical teams early during opportunity and solution shaping; surfaces technical dependencies; supports solution alignment; and escalates significant architecture, technology, data, responsible AI, security, privacy, compliance, or delivery risks through appropriate governance and delivery channels. Provide technology insight and practical guidance to MHI stakeholders and BTS colleagues regarding where AI is appropriate, what options exist, and how proposed approaches should align with AbbVie platforms, standards, and scalable enterprise services. Monitor relevant emerging AI technologies and translate them into practical MHI opportunities where applicable. Has defined authority and responsibility for technology analysis, recommendation quality, roadmap inputs, feasibility assessments, and risk visibility. Help define technology objectives with architects, platform owners, and delivery teams; recommend solution direction; inform technical and architectural decisions; constructively question proposed approaches when appropriate; and is accountable for the accuracy and quality of information used to support business justification, prioritization, and delivery decisions. Bachelor's Degree with 8 years’ experience; OR Master's Degree with 7 years’ experience; OR PhD with 3 years’ experience. Respective years of relevant experience in either business systems engineering, technology capability leadership, enterprise platforms, solution delivery, or related information technology roles. Experience in exercising significant latitude and independent judgment in solution shaping, technical problem solving, feasibility assessment, risk identification, and recommendation of scalable technology approaches. Work checked through consultation, alignment, and agreement with BRMs, business stakeholders, architects, platform owners, delivery teams, and other senior technical stakeholders rather than formal review by superiors. Demonstrated ability to translate complex business problems into technology capabilities, solution options, architecture considerations, functional requirements, and delivery approaches while preserving the appropriate boundary between BRM business relationship accountability and BSE technology capability leadership. Working knowledge of generative AI, large language models, AI agents and agentic workflows, machine learning concepts, retrieval-augmented generation, prompt engineering, model evaluation, AI-enabled workflow automation, data requirements and data readiness for AI, APIs, enterprise integration, responsible AI, AI security, privacy, compliance, and enterprise AI platforms and reusable AI services, sufficient to evaluate solution fit, engage technical experts, and understand implementation implications. Demonstrated ability to work effectively with enterprise architects, development teams, platform teams, engineering teams, security, privacy, data, and compliance SMEs to evaluate solution options, constructively question recommendations when appropriate, understand architectural implications, and translate between business and technical stakeholders. Ability to develop and maintain a technology roadmap, identify dependencies and capability gaps, promote enterprise reuse and scalability, and connect active initiatives to longer-term business technology capabilities without requiring deep model development, AI engineering, production software engineering, or data science expertise. Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​ The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​ We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​ This job is eligible to participate in our long-term incentive programs. ​ Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.​ AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

Overview : Biotherapeutics and Genetic Medicine (BGM) sits within AbbVie’s Discovery Research organization and supports discovery and optimization across biotherapeutic and genetic medicine modalities, including monoclonal antibodies, multispecifics, proteins, conjugates, AAV, LNPs, and siRNA. The Principal Data Architect will shape the cloud-native data foundation that enables predictive and generative AI/ML solutions in discovery scientist workflows. This role owns the architecture, adoption, and continuous improvement of a scalable data platform that connects laboratory data across dozens of assays, supports machine learning development and deployment, and improves how scientific data is used across the organization. The position reports to the Head of AI/ML in BGM and serves as a trusted advisor to senior leadership. This is a technical leadership role on the individual contributor track, with potential to expand into people management in the future. It requires close partnership with wet lab scientists, ML engineers, software engineers, data engineers, automation teams, and data governance partners. The role is central to building a robust, resilient, and scalable data foundation for BGM’s AI/ML strategy. Responsibilities Define and drive the architecture for a scalable, cloud-native data platform that supports AbbVie’s AI/ML strategy in BGM. Design data models and integration patterns that connect datasets generated across multiple lab groups and establish certified datasets for downstream scientific, operational, and machine learning use. Partner with wet lab scientists and automation engineers to maximize the value of data captured through lab automation workflows. Work with data scientists and deployment engineers to ensure data pipelines support both model development and production deployment. Advance FAIR data practices and data stewardship in alignment with BGM strategic priorities. Champion connected data, data-as-a-product, and cloud-first architecture principles across the organization. Partner with data infrastructure and governance experts to ensure data policies are implemented effectively. Align BGM data infrastructure initiatives with broader AbbVie efforts such as Convergence and ARCH. Communicate platform impact through user stories, metrics, and KPIs that show the value of the data platform to AbbVie’s therapeutic program pipeline. MS with 14+ years’ or PhD with 8+ years’ in machine learning, computer science, applied mathematics, data science, computational biology, or a closely related field. 6+ years of experience in data architecture after completion of graduate studies, with a track record of designing enterprise data platforms Graduate degree in computer science, data science, computational biology, computational chemistry, computational biophysics, or a related field. Experience designing enterprise data platforms. Strong technical skills in data modeling, data integration, data storage solutions, data pipelines, and AI/ML integration. Production programming experience in SQL, Python, or Java. Experience building cloud data infrastructure on AWS, Azure, or GCP. Ability to work across wet lab and dry lab scientific workflows. Experience collaborating across functions and building stakeholder alignment. Strong communication and interpersonal skills. Ability to apply data governance principles in day-to-day decision-making. Experience in the pharmaceutical or biotechnology industry. Preferred: Experience leading cross-functional technical teams across reporting lines and multiplying their impact through best practices. Experience working in large, cross-functional R&D environments. Work Environment: Hybrid role based in Worcester, MA. On-site presence required 3 days per week. This is an individual contributor role. Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​ The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​ We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​ This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.​ AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

The Quality Assurance Manager is responsible for providing quality assurance support for some or all of the following manufacturing processes: pharmaceutical products, medical devices, cosmetics, combination products and biologics. This role will support the strategic direction to ensure business objectives are met. Specific areas of support may include the Document Center, Device QA, Labeling, Validation, Training, Quality Intelligence, Compendia management and CAPA. This position will also translate strategy into tactical objectives to deliver strategic plans and regulatory updates. This position will ensure that all product, process or system related quality activities from raw material inspection through shipment of final product are in compliance with Corporate and governmental regulations. Provides direction to staff of professionals to include hiring, setting performance expectations, performance feedback and development of staff Directs the development of Quality policies that meet both regulatory and company requirements. Maintains expertise on various regulations (FDA, EMA, ICH, etc.) Provides compliance leadership to the manufacturing site. Provides direct interface with FDA and other regulatory agencies and customers during inspections. Perform assessments to determine compliance to processes and regulations to identify potential gaps and mitigate and implement improvements within our quality system. Review and approve deviation investigations, driving reduction in quality events through robust CAPA Compiles, analyzes and communicates significant quality or compliance metrics to senior management.. Establish programs to promote quality awareness and compliance •Bachelor’s Degree in Chemistry, Pharmacy, Biology, Microbiology, Engineering or other technical/ scientific area preferred. •8+ years’ experience in quality assurance, quality oversight or relevant experience. •Leadership of technical professionals and in leading cross-functional teams. •Technical knowledge in as many of the following areas as possible: Quality, Regulatory, Process Sciences, Manufacturing Operations. •Knowledge and familiarity with product, process, equipment, and facilities of pharmaceutical, biological or device related products. •Knowledge of QA systems and GMP compliance requirements including regulations and standards affecting device, biologics, and pharmaceutical products. •Experience working in both team setting and independently. Works well with manager guidance while able to manage own time. •Strong oral (with all levels of management) and written communication skills needed. •Excellent interpersonal skills a plus. •Can lead medium to larger sized projects with increasing level of complexity and size to deliver tactical results that support strategic initiatives #LI-FN1 Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​ The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​ We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​ This job is eligible to participate in our long-term incentive programs. ​ Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

Sr. Clinical Data Scientist (RBQM Analytics), AbbVie Inc., North Chicago Illinois, IL, Hybrid (onsite 3 fixed days a week/ 2 days WFH/remote). Key Responsibilities Lead design & implementation of Machine Learning models for Clinical insights. Use statistical methods to develop prototypes & algorithms. Leverage emerging statistical methodologies, ML & AI to drive innovative analytical solutions to create insights. Experiment & recommend additional techniques to solve business problems with cross-functional teams. Ensure adherence to federal regulations & applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, company Standard Operating Procedures (SOPs), & to functional quality standards. Identify business needs & support creation of standard KPIs, reports, & statistical analyses. Education & Experience Must have a Bachelor’s degree in bioinformatics, data science or statistics, & 2 years of progressive work experience in data science role. Of experience required, must have 2 years: programming using R & Python to support data analysis; building dashboard for data visualization using tools such as Spotfire, Tableau & MS power PI; building statistical models to support clinical trials analytics & identify data-driven insights; & reading & understanding clinical protocol for analysis design. Work experience may be gained concurrently. Salary Range: $124,184.48 - $183,500.00 per year. Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com . Refer to Req ID: REF49906W ---------------------------------------------------------------------------- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs. AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

AbbVie’s Business Technology Solutions (BTS) Information Research (IR) organization is seeking a Data Engineer, AI Enablement to help deliver trusted, well-structured, AI-ready data products within ARCH, AbbVie’s R&D Convergence Hub. As part of the DELOS team — Data Exploration and Linked Outcome Solutions — this role helps build the reliable data foundations needed to advance analytics, reporting, knowledge graph capabilities, machine learning, and AI-enabled use cases across R&D. In this role, you will independently design, develop, and operate scalable data pipelines and curated data products that make high-value research data easier to find, connect, understand, and use. The work spans data curation, normalization, modeling, metadata, lineage, quality controls, governance, documentation, and publication to the ARCH knowledge graph. Rather than developing AI models directly, you will ensure that data science, AI engineering, and research partners have the reliable, accessible, and appropriately governed data they need to deliver trusted outcomes. Working closely with R&D stakeholders, data scientists, machine learning engineers, platform teams, architects, and data owners, you will help translate scientific and business needs into dependable data solutions. You will also help scale delivery by providing technical guidance to contracted engineers supporting the same data products, translating requirements into clear work, reviewing outputs, helping remove barriers, and ensuring results meet agreed quality, documentation, and acceptance standards. Under the direction of the Associate Director – Data Strategy, AI & Knowledge Enablement, this role is an opportunity to contribute at the center of AbbVie’s R&D data transformation. The data foundations you build will help determine which analytics, knowledge graph, and AI use cases are possible across research — and how confidently the organization can use their output to support scientific decision-making. Responsibilities AI-Ready Data Product Engineering: Design, build, and operate curated, reusable data products that make high-value R&D data easier to find, connect, understand, and use. Collect, integrate, normalize, model, and transform data from databases, applications, APIs, licensed external sources, and other systems into ARCH and related data environments. Trusted Data Foundation Enablement: Establish reliable, scalable data foundations that support analytics, reporting, knowledge graph capabilities, machine learning, and AI-enabled use cases. Ensure data assets are structured, documented, accessible, governed, traceable, and fit for downstream consumption. AI, RAG & Knowledge Graph Readiness: Prepare data and documents for AI and knowledge discovery use cases by cleaning, standardizing, enriching, labeling, organizing metadata, supporting chunking, and embedding workflows, and producing vector database-ready assets. Enable publication of curated data to the ARCH knowledge graph. Data Quality, Governance & Documentation: Apply data quality and governance practices, including accuracy and completeness checks, metadata, lineage, access controls, privacy, license terms, assumptions, quality rules, and appropriate-use guidance so data consumers can understand and trust the assets they use. Technical Coordination & Delivery Support: Collaborate with data scientists, machine learning engineers, software engineers, platform teams, architects, data owners, and R&D stakeholders to translate scientific and business requirements into usable AI-ready data products. Provide technical guidance to contracted engineers, clarify work, review outputs, help remove barriers, and support delivery against agreed quality and acceptance standards. Operational Reliability & Continuous Improvement: Monitor pipeline performance, data freshness, cost, failures, and delivery issues; troubleshoot and resolve problems before they impact data consumers. Contribute to reusable engineering patterns, automation, process improvements, and consistent ways of working across data product workflows. Compliance & Standards: Follow applicable Corporate and Divisional policies, including GxP compliance, data security, software development lifecycle practices, data governance standards, and relevant regulatory or contractual requirements. Required: Bachelor’s Degree with 5 years of experience; OR Master’s Degree with 4 years of experience in information technology, data engineering, data management, analytics, life sciences, or a related field. Hands-on experience designing, developing, and operating production data pipelines and curated data products using SQL, Python, ETL/ELT patterns, and workflow orchestration tools such as Airflow. Working knowledge of modern data platforms, data integration, data warehousing or lakehouse patterns, distributed SQL or big data environments, cloud infrastructure, and analytics enablement. Experience preparing data for downstream analytics, machine learning, knowledge graph, or retrieval use cases, including cleaning, standardization, enrichment, structuring, metadata organization, and support for embedding or vector-search workflows. Experience applying data quality, metadata management, governance, lineage, documentation, and data modeling practices to support trusted, reusable data products. Experience collaborating with cross-functional business, scientific, technical, platform, vendor, contractor, or managed-services teams to translate requirements and deliver fit-for-purpose data assets. Ability to operate with a high degree of autonomy, manage priorities across concurrent workstreams, modify approach when needed, escalate open issues, and keep stakeholders informed through clear written and verbal communication. Demonstrated ability to learn, understand, and apply new data engineering, platform, and AI-enablement technologies, and to serve as a technical resource for others. Experience providing technical input, clarifying requirements, and reviewing outputs from contracted, vendor, or managed-services engineers without direct reporting authority. Strong communication, planning, and organizational skills, with the ability to explain technical concepts and keep stakeholders informed. Data product engineering mindset, with the ability to shape reusable, well-structured data assets that are practical, scalable, and fit for analytics and AI-enabled use. Data curation and stewardship mindset, with attention to quality, metadata, lineage, governance, standards, documentation, and appropriate use. Technical fluency across data platforms, pipelines, integration patterns, orchestration, cloud environments, and data delivery practices sufficient to work effectively with engineering and platform teams. Operational discipline across monitoring, troubleshooting, prioritization, issue resolution, automation, reusable patterns, and continuous improvement. Technical coordination and influence, with the ability to clarify priorities, guide work, review outputs, resolve ambiguity, and coordinate across internal and external contributors. Stakeholder communication, with the ability to frame tradeoffs, risks, dependencies, and progress in a clear and practical way for technical, scientific, and business audiences. Preferred: Pharmaceutical or healthcare industry experience preferred. Experience supporting research, discovery, translational, clinical, scientific, or other life sciences data environments. Familiarity with graph databases, knowledge graphs, ontology-based data structures, semantic data, metadata-driven data products, or linked-data concepts. Experience working with AWS-based, cloud-based, lakehouse, or modern data platform technologies such as Databricks, Spark, Snowflake, Neo4j, or similar tools. Experience working with regulated data environments, including data governance, documentation, security, privacy, license terms, or compliance expectations. Exposure to analytics, machine learning, retrieval-augmented generation (RAG), embeddings, vector databases, AI-search patterns, or AI-ready data product delivery. Familiarity with Agile practices or planning tools such as Jira, including backlog refinement, sprint planning, prioritization, acceptance criteria, and delivery tracking. ​Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​ The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​ We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​ This job is eligible to participate in our short-term incentive programs. ​ Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​ AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

Herzlich willkommen bei AbbVie! Als Teil eines internationalen Unternehmens mit ca. 57.000 Mitarbeitern weltweit und rund 3.500 Mitarbeitern in Deutschland hast Du die Möglichkeit, eng mit uns zusammenzuarbeiten, um die gesundheitlichen Herausforderungen von morgen zu meistern. Du hast eine Leidenschaft für die Verbesserung der Gesundheitsversorgung auf der ganzen Welt? Du möchtest Dein Fachwissen einsetzen, um die Lebensqualität von Patienten zu verbessern? In einem herausfordernden Arbeitsumfeld, das Dir die Möglichkeit bietet, Deine eigenen Fähigkeiten zu erweitern und zu entwickeln? Dann bist Du bei uns richtig! Stell dein Know-how unter Beweis und werde Teil unseres Teams am Standort Ludwigshafen als Engineer Technology I - Software/Data Engineering (all genders) Konkret bedeutet das: Eigenständige Konzeption und Entwicklung von Daten-, Software- und Technologielösungen zur Beantwortung wissenschaftlicher und geschäftlicher Fragen sowie zur Ermöglichung wissenschaftlicher Arbeitsabläufe. Wartung, Support und Weiterentwicklung benutzerdefinierter Anwendungen zur Verbindung von Datenplattformen, Systemen und Technologien. Speicherung, Übertragung, Integration, Visualisierung und Analyse großer und komplexer Datensätze. Verbindung und Integration von Datenquellen durch den Einsatz von APIs, Datenbankverbindungen, Enterprise Service Buses, SDKs und verwandten Technologien. Implementierung neuer Methoden, Technologien und Prozesse zur Förderung einer wachsenden datengetriebenen Kultur und Verbesserung der Effizienz von Forschung und Entwicklung. Enge Zusammenarbeit mit Data Scientists, Forschenden und weiteren Beteiligten, um durch klare Kommunikation praxisnahe und wirksame Lösungen zu entwickeln. Selbstständige und zuverlässige Bearbeitung komplexer Aufgaben und Projekte unter Berücksichtigung übergeordneter Projektziele. Strukturierte Aufbereitung und verständliche Präsentation von Projektzielen, technischen Konzepten und Fortschritten gegenüber technischen und nichttechnischen Zielgruppen. Erstellung und Pflege erforderlicher technischer Dokumentation unter Einhaltung aller geltenden Unternehmens- und Abteilungsrichtlinien, insbesondere zu Verhaltenskodex, Arbeitssicherheit, GxP-Compliance, Datensicherheit und Standards für den Lebenszyklus der Softwareentwicklung. So machst Du den Unterschied: Abgeschlossenes Studium der Informatik, Bio Sciences, Development Sciences oder eines vergleichbaren Fachgebiets bzw. eine gleichwertige Kombination aus Ausbildung und relevanter Erfahrung; mit Bachelorabschluss in der Regel fünf Jahre, mit Masterabschluss in der Regel zwei Jahre relevante Berufserfahrung. Erfahrung in der Softwareentwicklung und im Data Engineering sowie Kenntnisse in Programmiersprachen für Data Science, insbesondere Python und/oder R. Fähigkeit, mithilfe verschiedener Technologien wie Datenbanken, Schnittstellen, Enterprise Service Buses und Software Development Kits Verbindungen zu Datenquellen herzustellen und diese zu integrieren. Gute Datenbankkenntnisse, einschließlich grundlegender Abfragen sowie der Erstellung von Tabellen und Ansichten, sind von Vorteil Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift sowie die Fähigkeit, analytische und technische Konzepte allgemein verständlich zu erklären. Wie wir gemeinsam Großes bewegen: mit einem diversen Arbeitsumfeld, wo Du etwas bewirken kannst mit einer offenen Unternehmenskultur mit einer attraktiven Vergütung mit einem intensiven Onboarding inkl. einem Mentor *in mit flexiblen Arbeitsmodellen für eine gesunde Work-Life-Balance mit einem betrieblichen Gesundheitsmanagement mit umfassenden Gesundheits- und Bewegungsprogrammen mit betrieblichen Sozialleistungen mit vielfältigen Karrieremöglichkeiten in einer internationalen Organisation mit hochkarätigen, attraktiven Entwicklungsmöglichkeiten mit einem starken, internationalen Netzwerk Wir wurden mehrfach und weltweit zum „Great Place to Work“ gewählt und sind stolz darauf, unseren Mitarbeitern*innen die Flexibilität zu bieten, die eine gesunde Work-Life-Balance gewährleistet. Wir nehmen unseren Einfluss auf die Umwelt und die Gesellschaft ernst und konzentrieren und deshalb darauf, regelmäßig etwas zurückzugeben. Wir engagieren uns für Gerechtigkeit, Gleichheit, Vielfalt und Inklusion (EED&I) – das ist von grundlegender Bedeutung für uns. Dazu gehört die Wertschätzung unterschiedlicher Perspektiven, die Schaffung einer integrativen Kultur und der würdevolle und respektvolle Umgang mit allen Mitarbeitern*innen. Bei AbbVie zählt Dein individueller Beitrag – Hilf uns, gemeinsam Großes zu bewegen. Sei ein Teil von unserem Erfolg und wachse mit uns – und wachse über Dich hinaus! Klingt wie die perfekte Karrierechance für Dich? Dann freuen wir uns auf Deine Bewerbung. Alles, was Du benötigst, ist ein vollständiger Lebenslauf – alles Weitere besprechen wir dann persönlich mit Dir. Hast Du noch Fragen? Schicke gerne eine E-Mail an Talentacquisition.de@abbvie.com - wir freuen uns auf Deine Kontaktaufnahme! AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

Herzlich willkommen bei AbbVie! Als Teil eines internationalen Unternehmens mit ca. 57.000 Mitarbeitern weltweit und rund 3.500 Mitarbeitern in Deutschland hast Du die Möglichkeit, eng mit uns zusammenzuarbeiten, um die gesundheitlichen Herausforderungen von morgen zu meistern. Du hast eine Leidenschaft für die Verbesserung der Gesundheitsversorgung auf der ganzen Welt? Du möchtest Dein Fachwissen einsetzen, um die Lebensqualität von Patienten zu verbessern? In einem herausfordernden Arbeitsumfeld, das Dir die Möglichkeit bietet, Deine eigenen Fähigkeiten zu erweitern und zu entwickeln? Dann bist Du bei uns richtig! Stell dein Know-how unter Beweis und werde Teil unseres Teams am Standort Ludwigshafen als Engineer Technology I - Software/Data Engineering (all genders) Konkret bedeutet das: Eigenständige Konzeption und Entwicklung von Daten-, Software- und Technologielösungen zur Beantwortung wissenschaftlicher und geschäftlicher Fragen sowie zur Ermöglichung wissenschaftlicher Arbeitsabläufe. Wartung, Support und Weiterentwicklung benutzerdefinierter Anwendungen zur Verbindung von Datenplattformen, Systemen und Technologien. Speicherung, Übertragung, Integration, Visualisierung und Analyse großer und komplexer Datensätze. Verbindung und Integration von Datenquellen durch den Einsatz von APIs, Datenbankverbindungen, Enterprise Service Buses, SDKs und verwandten Technologien. Implementierung neuer Methoden, Technologien und Prozesse zur Förderung einer wachsenden datengetriebenen Kultur und Verbesserung der Effizienz von Forschung und Entwicklung. Enge Zusammenarbeit mit Data Scientists, Forschenden und weiteren Beteiligten, um durch klare Kommunikation praxisnahe und wirksame Lösungen zu entwickeln. Selbstständige und zuverlässige Bearbeitung komplexer Aufgaben und Projekte unter Berücksichtigung übergeordneter Projektziele. Strukturierte Aufbereitung und verständliche Präsentation von Projektzielen, technischen Konzepten und Fortschritten gegenüber technischen und nichttechnischen Zielgruppen. Erstellung und Pflege erforderlicher technischer Dokumentation unter Einhaltung aller geltenden Unternehmens- und Abteilungsrichtlinien, insbesondere zu Verhaltenskodex, Arbeitssicherheit, GxP-Compliance, Datensicherheit und Standards für den Lebenszyklus der Softwareentwicklung. So machst Du den Unterschied: Abgeschlossenes Studium der Informatik, Bio Sciences, Development Sciences oder eines vergleichbaren Fachgebiets bzw. eine gleichwertige Kombination aus Ausbildung und relevanter Erfahrung; mit Bachelorabschluss in der Regel fünf Jahre, mit Masterabschluss in der Regel zwei Jahre relevante Berufserfahrung. Erfahrung in der Softwareentwicklung und im Data Engineering sowie Kenntnisse in Programmiersprachen für Data Science, insbesondere Python und/oder R. Fähigkeit, mithilfe verschiedener Technologien wie Datenbanken, Schnittstellen, Enterprise Service Buses und Software Development Kits Verbindungen zu Datenquellen herzustellen und diese zu integrieren. Gute Datenbankkenntnisse, einschließlich grundlegender Abfragen sowie der Erstellung von Tabellen und Ansichten, sind von Vorteil Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift sowie die Fähigkeit, analytische und technische Konzepte allgemein verständlich zu erklären. Wie wir gemeinsam Großes bewegen: mit einem diversen Arbeitsumfeld, wo Du etwas bewirken kannst mit einer offenen Unternehmenskultur mit einer attraktiven Vergütung mit einem intensiven Onboarding inkl. einem Mentor *in mit flexiblen Arbeitsmodellen für eine gesunde Work-Life-Balance mit einem betrieblichen Gesundheitsmanagement mit umfassenden Gesundheits- und Bewegungsprogrammen mit betrieblichen Sozialleistungen mit vielfältigen Karrieremöglichkeiten in einer internationalen Organisation mit hochkarätigen, attraktiven Entwicklungsmöglichkeiten mit einem starken, internationalen Netzwerk Wir wurden mehrfach und weltweit zum „Great Place to Work“ gewählt und sind stolz darauf, unseren Mitarbeitern*innen die Flexibilität zu bieten, die eine gesunde Work-Life-Balance gewährleistet. Wir nehmen unseren Einfluss auf die Umwelt und die Gesellschaft ernst und konzentrieren und deshalb darauf, regelmäßig etwas zurückzugeben. Wir engagieren uns für Gerechtigkeit, Gleichheit, Vielfalt und Inklusion (EED&I) – das ist von grundlegender Bedeutung für uns. Dazu gehört die Wertschätzung unterschiedlicher Perspektiven, die Schaffung einer integrativen Kultur und der würdevolle und respektvolle Umgang mit allen Mitarbeitern*innen. Bei AbbVie zählt Dein individueller Beitrag – Hilf uns, gemeinsam Großes zu bewegen. Sei ein Teil von unserem Erfolg und wachse mit uns – und wachse über Dich hinaus! Klingt wie die perfekte Karrierechance für Dich? Dann freuen wir uns auf Deine Bewerbung. Alles, was Du benötigst, ist ein vollständiger Lebenslauf – alles Weitere besprechen wir dann persönlich mit Dir. Hast Du noch Fragen? Schicke gerne eine E-Mail an Talentacquisition.de@abbvie.com - wir freuen uns auf Deine Kontaktaufnahme! AbbVie setzt sich für Chancengleichheit ein und verpflichtet sich, mit Integrität zu arbeiten, Innovationen voranzutreiben, Leben zu verändern und unserer Gemeinschaft zu dienen. Chancengleichheit bei Arbeitgeber/Veteranen/Behinderten.