Metabolomics Jobs

This tenure-track faculty position within the College of Engineering at Michigan State University focuses on sustainable agricultural technologies and climate resilience. The role involves establishing an externally funded research program in areas such as synthetic biology, data science, or nanomaterials, while teaching and mentoring undergraduate and graduate students. Key responsibilities include developing solutions for resource efficiency, creating biodegradable materials, and designing advanced monitoring systems. The position offers the opportunity to lead interdisciplinary collaborations across engineering, agriculture, and natural science departments through the prestigious 1855 Professorship initiative. The environment is highly collaborative, emphasizing innovation, global impact, and a strong commitment to diversity, equity, and inclusion within a top-tier research university setting.

This tenure-track faculty position in the Division of Microbiology and Immunology at the University of Utah seeks an Assistant, Associate, or Full Professor to lead an independent research program focused on host-pathogen interactions, immune responses, or immunotherapies. Key responsibilities include establishing a rigorous, externally funded research initiative, mentoring trainees, and collaborating with a dynamic community of NIH-funded investigators. The role is particularly appealing due to access to extensive institutional resources, including specialized cores for genomics and proteomics, and a vibrant location in Salt Lake City that blends world-class biomedical research with outdoor activities. Candidates with expertise in machine learning, functional genomics, or human immunology are highly valued within this collaborative and innovative academic environment.

This Senior Scientist role within Regeneron's Precision Medicine Quantitative Biomarker Team focuses on driving translational medicine initiatives for internal medicine portfolios. The position involves designing and overseeing exploratory analyses of multi-modal data, including genomic and proteomic endpoints, to generate actionable clinical insights. Key responsibilities include developing scalable computational workflows, leading scientific software development for data visualization, and mentoring junior scientists while collaborating with cross-functional teams. The role appeals to candidates seeking to apply advanced AI and machine learning techniques to accelerate drug development in areas like cardiovascular and metabolic diseases. While the position requires on-site work, it offers a collaborative culture that fosters scientific rigor, innovation, and the opportunity to shape clinical development strategies.