Manager, RDU IT – Data Science

OverviewAre you ready to lead the charge in transforming data into groundbreaking solutions? As a Manager in Data Science you’ll report to the RDU IT Director and play a pivotal role within the Alexion IT organization. Dive into the world of Generative AI and advanced techniques, designing and deploying AI models that tackle complex business challenges. Your innovative work will drive impactful outcomes across various domains, pushing the boundaries of what’s possible.AccountabilitiesLead the development and refinement of Data Science solutions including Generative AI systems to solve intricate business problems and enable impactful applications.Contribute to the development and maintenance of MLOps infrastructure and tools for Data Science and Generative AI models.Participate in the full lifecycle development of Generative AI agents from conceptualization to deployment, ensuring these agents can interact with users or environments in a meaningful way.Support the integration of pre‑trained models into custom applications and the broader Machine Learning ecosystem, enabling new functionalities while ensuring ethical use and business relevance.Collaborate with senior engineers to design interactive systems that use AI to provide dynamic content or decision support.Support the development and integration of Knowledge Graphs to enable semantic data modeling and enhance data connectivity across systems.Aid in the implementation of user interfaces or API endpoints that allow for seamless interaction with AI functionalities.Assist with data pipelines and preprocessing steps necessary for feeding AI models with the right data for generation tasks.Explore advanced Data Science methodologies such as federated learning to enable privacy-preserving and collaborative model training in distributed environments.Help monitor the operational health of Data Science applications in production, identifying areas for improvement or optimization across AI models and related systems.Contribute to the development of asset frameworks and reusable components.Engage with stakeholders to gather feedback and iteratively improve upon the AI applications’ features and capabilities.Assist with the monitoring and governance of Data Science solutions to align with evolving business and regulatory requirements.Utilize a standard office environment, meeting requirements such as computer use, communication via phone/video/email, problem-solving, collaboration, and general availability during standard business hours.Essential Skills / ExperienceBachelor’s degree in Computer Science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related field.Minimum 3 years of experience in Machine Learning, data science, or software development.Familiarity with ML Engineering concepts and tools including Docker/containerization and basic model upkeep.Experience with CI/CD practices and tools such as GitHub Actions, Jenkins, or Bitbucket pipelines.Proficiency in Python and ML libraries such as TensorFlow, Keras, or PyTorch.Knowledge of graph databases and Knowledge Graph technologies such as Neo4j, RDF, or SPARQL for semantic data modeling and querying.Experience with cloud computing platforms such as AWS, Azure, or GCP.Understanding of software engineering principles and exposure to agile methodologies.Good communication and collaboration skills with enthusiasm for working in a cross‑functional team environment.Proactive, eager to learn, with strong analytical and problem‑solving skills.Desirable Skills / ExperienceExperience in the pharmaceutical industry or related fields.Master’s degree in a related field or ongoing advanced education.Strong knowledge of AI techniques and tools including NLP, optimization, deep learning, and methodologies like federated learning for distributed and privacy‑focused model training.BenefitsWe work on average a minimum of three days per week from the office, but maintain flexibility to support individual needs. Our culture values connection, exploration, and the opportunity to make a direct impact on rare disease patients.ApplicationReady to make an impact? Apply now to join our teamPostingDate Posted: 06‑Oct‑2025Closing Date: 19‑Oct‑2025Equal OpportunityAlexion is proud to be an Equal Employment Opportunity and affirmative action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness, or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation please contact (contact info). Alexion participates in E‑Verify.#J-18808-Ljbffr