BIS AI / ML Data Engineer - ONC

Overview

Incyte is a biopharmaceutical company focused on the discovery, development, and commercialization of novel medicines to meet serious unmet medical needs in oncology and inflammation and autoimmunity. Incyte is committed to the rigorous pursuit of research and development excellence to improve the lives of patients, make a difference in health care, and build sustainable value.

The Company strives to discover and develop first-in-class and best-in-class medicines-advancing a diverse portfolio of large and small molecules.

Job Summary (Primary function)

The Sr Manager, Business Information Services, AI / ML Engineer - Oncology is part of the Business Operations team within Incyte's US Oncology Business Unit. This role will be a key contributor in expanding Incyte Oncology's AI / ML competency and will focus on designing, developing, and deploying cutting-edge machine learning and AI solutions.

Reporting to the Associate Director, BIS, Data Engineering, the incumbent will focus on developing scalable machine learning, predictive analytics, and data engineering to build and productionize impactful models and workflows that drive informed decision-making across the Oncology organization. This role will work closely with various business teams across the Oncology business unit to translate business requirements into machine learning solutions, as well as independently manage end-to-end projects in a fast-paced environment.

The ideal candidate will have a strong technical background with a comprehensive understanding of cloud platforms, data engineering experience with structured and unstructured data, and hand-on experience developing and deploying AI / ML models at scale. An ability to work independently, communicate effectively, and manage projects efficiently will be crucial to success in this role.

Essential Functions of the Job (Key responsibilities)

Key responsibilities of this role include designing, developing, and deploying data engineering and machine learning models to address complex problems across a variety of business teams within the Oncology business unit. For machine learning, the primary objective is to achieve process and decision automation through building, training, and fine-tuning models while ensuring scalability, efficiency, and accuracy. Engineering responsibilities span multiple components : (1) data acquisition and preparation including collecting, cleaning, and preprocessing data, (2) performing feature engineering to optimize model performance, and (3) integration of models or workflows into existing Incyte business systems.

Keeping abreast of the latest advancements in artificial intelligence and machine learning, as well as experimenting with new algorithms, frameworks, and tools, is an essential aspect of this role. Additionally active engagement in knowledge sharing and collaboration with cross-functional teams and business stakeholders-including Incyte's Oncology and Dermatology portfolios, IT, and Compliance-is essential for driving synergies and delivering streamlined AI / ML solutions.

Specific areas of responsibilities

• Design, build, and deploy machine learning and predictive models to solve business problems.
• Develop, implement, and maintain data pipelines using Azure Data Factory, connecting with various data sources, including blob storage and SQL databases.
• Actively contribute to and enforce data security and governance through tools or platforms such as Purview and Databricks
• Use Databricks to analyze, process, and transform large datasets, preparing them for machine learning models and reporting.
• Work with large language models (LLMs) like ChatGPT to integrate conversational AI features, leveraging API programming for seamless interaction with applications.
• Design and implement data models and work with graph databases to support predictive analytics and complex data relationships.
• Create interactive dashboards and applications with R Shiny for data visualization and decision-making support.
• Develop and maintain APIs to enable efficient data communication between various systems and applications.
• Collaborate with stakeholders to understand business requirements, presenting insights and model outcomes in a clear, actionable manner.
• Independently manage project timelines, deliverables, and documentation, ensuring alignment with business objectives and regulatory standards.

Qualifications (Minimal acceptable level of education, work experience, and competency)

Technical Skills :

Soft Skills :

Disclaimer : The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.

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