Open Rank (Assistant, Associate or Full) Professor ...

Open Rank (Assistant, Associate or Full) Professor Focused on AI/Computational Approaches in Drug Discovery and Development Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below. About the Opportunity The Bouve College of Health Sciences has over 280 faculty members, with approximately 2,000 undergraduate and 2,400 graduate students. It is the leading national model for education and research in the health, psychosocial, and biomedical sciences and supports the University's mission of educating students for a life of fulfillment and accomplishment and creating and translating knowledge to meet global and societal needs. The Bouve College of Health Sciences is organized in four Schools: Pharmacy and Pharmaceutical Sciences, Community Health and Behavioral Sciences, Clinical and Rehabilitation Sciences, and Nursing. The Center for Drug Discovery (CDD) at Northeastern University invites applications for open rank tenure-track/tenured faculty positions at the Assistant, Associate, and Full Professor levels with projected start dates in 2025. The CDD seeks to hire faculty members with research programs that address addiction and mental health with a focus on AI/computational approaches to drug discovery and drug development. Competitive applicants will have research programs leveraging Computational Biology, Artificial Intelligence (AI), and Machine Learning (ML) to advance drug discovery. The targeted academic home is one of the departments in the Bouve College of Health Sciences; a joint appointment in another department/college can be considered. The mission of the CDD is to engage in drug discovery and drug development that will lead to new medications to address a variety of unmet medical needs, especially those involving addiction and mental health. Responsibilities: The potential hires are expected to develop vigorous research programs that intersect diverse fields, with the common objective of preclinical drug discovery. Faculty members at Northeastern are expected to develop independent research programs that attract external funding; teach courses at the graduate and undergraduate level; oversee students and postdocs in their area of research; and participate in service to the Center, department, University, and discipline. Qualifications: A Ph.D. or equivalent degree in the sciences such as Health Sciences, Pharmaceutical Sciences, Biological Sciences, Chemistry, Engineering, Computer Science, Computational Biology, Bioinformatics, or a closely related field with a demonstrated interest and track record in AI/computational-based drug discovery and drug development. All applicants should have a strong record of scholarly accomplishment that demonstrates the promise (for Assistant Professor-level candidates) and ability to build a strong research program. Academic rank at the Associate or Full Professor level will be commensurate with experience and qualifications reflecting a record of substantial research productivity and an established history of grant support, teaching, and academic service. To apply: Interested candidates should apply here with a curriculum vita that includes a list of publications, statements addressing the prompts below, and names and contact information for at least three professional references from whom letters of reference can be solicited as needed. Review of applications will begin on November 1, 2024, and will continue until positions are filled. Position Type: Academic Additional Information: Northeastern University considers factors such as candidate work experience, education, and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement, as well as commuting & transportation. Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff.#J-18808-Ljbffr

Created: 2024-11-06