BIS AI / ML Data Engineer - DERM

Job Description

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 - Dermatology is part of the Business Operations team within Incyte’s US Dermatology Business Unit. This role will be a key contributor in expanding Incyte Dermatology’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 Dermatology organization. This role will work closely with various business teams across the Dermatology 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 Dermatology 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 Dermatology 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)

·         BS in Computer Science, Information Systems, Engineering, or a related field. Advanced degree or relevant certifications preferred.

·         Must have a combined 3 – 5 years of hands-on experience building AI/ML solutions in industry and/or academia.

Technical Skills:

·         Demonstrated proficiency in Python for data processing, machine learning model development, and API integration required.

·         Experience in R and R Shiny for creating interactive data visualizations and applications.

·         Experience with Azure Cloud Platform and Azure Data Factory for creating data pipelines and connecting to various data storage systems, including blob storage.

·         Strong knowledge of Databricks for data engineering and model training in distributed computing environments.

·         Familiarity with large language models (LLMs), such as ChatGPT, for building conversational AI and natural language processing applications.

·         Proven experience with SQL databases, including Azure Synapse, for complex querying, data integration, and reporting.

·         Knowledge of graph databases and data modeling to support predictive analytics and relational data structures is a plus.

·         Skilled in API programming to facilitate secure, efficient integration between systems.

·         Competency in predictive modeling techniques and machine learning algorithms for real-world applications.

·         Proficiency in data modeling techniques for structuring and organizing data to support analytics.

Soft Skills:

·         Strong communication skills with the ability to translate technical insights for non-technical stakeholders.

·         Project management experience to independently handle multiple projects, ensuring timely and high-quality delivery.

·         Ability to work independently, demonstrating self-motivation and a proactive approach to problem-solving.

 

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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Learn more at: http://www.incyte.com/privacy-policy

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 can learn more about this process here.

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You can learn more about Incyte’s data protection practices here. 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).

Please contact privacy@incyte.com if you have any questions or concerns or would like to exercise your rights.

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Incyte will provide reasonable accommodation to applicants with qualified disabilities in accordance with the Americans with Disabilities Act (ADA). Requests will be kept confidential and shared strictly on a need-to-know basis only. If you require a reasonable accommodation for our application process, please contact us at recruiting@incyte.com. Only messages sent for this purpose will be considered.

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Incyte prefers to recruit candidates directly rather than through a third-party recruiter or agency. Incyte will only pay a fee for candidates submitted or presented where there is a signed recruiting agreement in place between Incyte and the recruiter or agency prior to the submittal and the candidate is submitted for a specific requisition. In the case of candidate(s) submitted or presented to Incyte by a recruiter or agency without a signed agreement, Incyte explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

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Incyte Corporation has learned that scammers falsely claiming to work for us are pretending to make job offers on behalf of our company. The fraudulent offers are made through various channels, including on internet recruiting and social media sites and by mail. Sometimes they are followed by a request for money or receipt of a check made payable to the person who received the fake job offer.

Please be aware that these offers and communications are not legitimate and are not authorized by Incyte. Incyte only hires for job postings that appear on this website. We also do not conduct job interviews online through internet

sites, online chat, or social media and will never ask you for money or to cash a check at any point in the recruitment process.

We are taking this matter very seriously and have reported the fraud to law enforcement authorities.

What You Should Do

If you receive an offer of employment from us online or in the mail, or any other suspicious communication appearing to be on behalf of our company, please contact our human resources team at hr@incyte.com and please send us a copy of the email or letter you received. You can also reach us by phone at: +1 302-498-6700.

What You Should Not Do

  • Respond to unsolicited job offers, or offers to interview you for a job, from anyone you do not know. Contact the company directly if you have questions about whether any such offer is authorized before responding.
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