Manager, RDU IT – Data Science

Are you ready to lead the charge in transforming data into groundbreaking solutions As a Manager in Data Science youll 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 whats possible.

Accountabilities:
Lead 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 the 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 assets 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.
The duties of this role are generally conducted in an office environment. As is typical of an office-based role employees must be able with or without an accommodation to: use a computer; engage in communications via phone video and electronic messaging; engage in problem solving and non-linear thought analysis and dialogue; collaborate with others; maintain general availability during standard business hours.

Essential Skills/Experience:
Bachelors degree in Computer Science Data Science Electrical Engineering Mathematics Statistics or a related field
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
Exposure to CICD practices and familiarity with tools such as GitHub Actions Jenkins or Bitbucket pipelines
Experience with Python and familiarity with ML libraries such as Tensorflow Keras or PyTorch
Familiarity with 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 and eager to learn with strong analytical and problem-solving skills

Desirable Skills/Experience:
Experience in the pharmaceutical industry or related fields
Masters degree in a related field or ongoing education towards an advanced degree
Strong knowledge of AI techniques and tools including NLP optimization deep learning and methodologies like federated learning for distributed and privacy-focused model training

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZenecas Alexion division youll find a place where innovation meets purpose. Our commitment to rare diseases means your work directly impacts lives. With a rapidly expanding portfolio and an entrepreneurial spirit akin to a leading biotech youll thrive in a culture that values connection and exploration. Supported by exceptional leaders and peers youll be empowered to grow your career while making a difference where it truly counts.

Ready to make an impact Apply now to join our team!

Date Posted

Closing Date

Alexion 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 lackthereof sex sexualorientation age ancestry national origin ethnicity citizenship status marital statuspregnancy (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 aninteractive dialogue with Alexion regarding an accommodation please contact . Alexion participates in E-Verify.