University of Nebraska–Lincoln
Artificial Intelligence and Machine Learning Lead Scientist (Temporary)
University of Nebraska–Lincoln, Lincoln, Nebraska, United States
Artificial Intelligence and Machine Learning Lead Scientist (Temporary)
The Digital Twin Innovation Hub is developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model. The multi-scale computational model integrates mechanistic molecular and cellular-level models with population whole-body models, utilizing machine learning and distributed computing solutions to solve inter- and cross-scale simulations of communication flow. As the Artificial Intelligence and Machine Learning Lead Scientist, you will: Lead the development and execution of multiple AI/ML projects related to multi-scale, multi-cellular immune system modeling. Develop, execute, and implement AI/ML infrastructure to simulate the human immune system, diseases, and drug interactions. Collaborate with cross-functional teams to enhance the understanding of the human immune system and underlying immune-related conditions and treatments. Be responsible for project management of a team of contractors and staff working on the project. Benefits for eligible temporary employees include health, dental, vision, and life insurance. The University of Nebraska-Lincoln seeks to attract and retain a high-performing and collaborative workforce. UNL is committed to providing a work environment and culture that fosters personal and professional success where every person and every interaction matters. Minimum Required Qualifications: Master’s degree in Artificial Intelligence, Machine Learning, Computer Science (with focus on AI/ML), Data Science, Software Engineering, or related field. Six (6) years of experience with real-world AI/ML projects. Experience must include at least three (3) years of managing projects and supervising staff members in diverse disciplines. Experience training scientists, with the ability to communicate complex concepts and insights to non-expert stakeholders. Proficiency in computational tools and software used in AI/ML (e.g., Python, C++, Julia). Strong analytical and problem-solving skills. The University of Nebraska-Lincoln is an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation.
#J-18808-Ljbffr
The Digital Twin Innovation Hub is developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model. The multi-scale computational model integrates mechanistic molecular and cellular-level models with population whole-body models, utilizing machine learning and distributed computing solutions to solve inter- and cross-scale simulations of communication flow. As the Artificial Intelligence and Machine Learning Lead Scientist, you will: Lead the development and execution of multiple AI/ML projects related to multi-scale, multi-cellular immune system modeling. Develop, execute, and implement AI/ML infrastructure to simulate the human immune system, diseases, and drug interactions. Collaborate with cross-functional teams to enhance the understanding of the human immune system and underlying immune-related conditions and treatments. Be responsible for project management of a team of contractors and staff working on the project. Benefits for eligible temporary employees include health, dental, vision, and life insurance. The University of Nebraska-Lincoln seeks to attract and retain a high-performing and collaborative workforce. UNL is committed to providing a work environment and culture that fosters personal and professional success where every person and every interaction matters. Minimum Required Qualifications: Master’s degree in Artificial Intelligence, Machine Learning, Computer Science (with focus on AI/ML), Data Science, Software Engineering, or related field. Six (6) years of experience with real-world AI/ML projects. Experience must include at least three (3) years of managing projects and supervising staff members in diverse disciplines. Experience training scientists, with the ability to communicate complex concepts and insights to non-expert stakeholders. Proficiency in computational tools and software used in AI/ML (e.g., Python, C++, Julia). Strong analytical and problem-solving skills. The University of Nebraska-Lincoln is an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation.
#J-18808-Ljbffr