Principal Investigator to Director, Machine Learning Engineer - Remote

Location: Elkins Park
Posted on: June 23, 2025

Job Description:

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 Description: We are seeking a skilled Machine Learning Engineer to join our dynamic team within the AI Innovations Institute. This role focuses on the development, deployment, and maintenance of AI agents that leverage LLMs to support various functions across Incyte. The ideal candidate will have a strong background in machine learning, experience with cloud-based infrastructures, and a passion for applying AI to real-world challenges in the pharmaceutical industry. Key Responsibilities • Design, develop, and deploy AI agents utilizing LLMs to support diverse functions such as research, clinical operations, and commercial activities. • Collaborate with cross-functional teams to identify opportunities for AI integration and to tailor solutions to specific departmental needs. • Implement scalable machine learning models and ensure their integration with existing systems and workflows. • Utilize AWS services to build and maintain robust, secure, and efficient AI infrastructures. • Monitor and evaluate the performance of deployed AI agents, making iterative improvements based on feedback and data analysis. • Stay abreast of the latest developments in AI and machine learning to continuously enhance the institutes capabilities. Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • Proven experience in developing and deploying machine learning models, particularly those involving LLMs. • Strong proficiency in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch. • Experience with AWS cloud services, including but not limited to EC2, S3, Lambda, and SageMaker. • Understanding of AI agent architectures and their applications in automating complex tasks. • Excellent problem-solving skills and the ability to work collaboratively in a multidisciplinary environment. Preferred Qualifications • AWS certifications such as Solutions Architect Associate or Professional. • Experience in the pharmaceutical or healthcare industry, with an understanding of the unique challenges and opportunities in these fields. • Familiarity with MLOps practices and tools for continuous integration and deployment of machine learning models. • Knowledge of data privacy regulations and best practices for handling sensitive information. 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. The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate. During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work. By accessing this link you can learn about the types of personal data we collect, how we use it, whether collection and processing is optional, sources of the personal data we process, how it is shared, where it is stored or transferred to, how long we keep it, and contact information for Incyte, Incyte’s data protection officer, and your supervisory authority (if applicable).

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