Assistant Professor, MCBS—AI Biochemistry

University of New Hampshire

9d•$85,000 - $95,000•Onsite

About The Position

The College of Life Sciences and Agriculture at the University of New Hampshire invites applications for a full-time, tenure-track Assistant Professor in the Department of Molecular, Cellular and Biomedical Sciences. The successful candidate will develop and/or apply artificial intelligence and machine learning approaches to advance biochemistry and biomedical science. Areas of interest include protein structure, function, and engineering; molecular modeling and simulation; systems biology; multi-omics analysis; computational biochemistry; and AI-enabled therapeutic or drug discovery. The appointee will establish an externally funded research program, contribute to undergraduate and graduate teaching, mentor students, and develop scientific collaborations within and beyond MCBS. The position offers opportunities to engage with UNH research infrastructure and collaborative programs, including the Center of Integrated Biomedical and Bioengineering Research, the Hubbard Center for Genome Studies, the Research Computing Center, the Data Science Core, and NH-INBRE. Responsibilities include conducting and publishing research, pursuing competitive funding, developing collaborations, teaching and advising students, contributing to curriculum development, and participating in departmental, university, and professional service. The successful candidate will support an inclusive, respectful, collegial, and team-oriented working and learning environment.

Requirements

Ph.D. in biochemistry, molecular biology, computational biology, bioinformatics, chemistry, computer science, data science, biomedical engineering, or a closely related field by the appointment start date.
A record of research accomplishment demonstrating the use or development of AI/machine learning methods to address biochemical or biomedical questions.
Evidence of the potential to establish an independent, externally funded research program.
Evidence of the potential for effective undergraduate and graduate teaching, advising, and research mentorship.
Expertise in AI/machine learning methods relevant to biochemical, molecular, structural, genomic, multi-omic, or drug-discovery research.
Ability to connect computational methods with biologically meaningful questions, experimental evidence, and reproducible research practices.
Strong written, oral, and interpersonal communication skills for working with students, collaborators, funding agencies, and professional audiences.
Ability to work independently and collaboratively in a multidisciplinary research and educational environment.
Commitment to responsible use of data and AI, including transparency, reproducibility, research integrity, and appropriate attention to bias and limitations.
Commitment to creating an inclusive and respectful workplace and learning environment.

Nice To Haves

Postdoctoral research experience or equivalent advanced professional experience.
A strong publication record in AI-enabled biochemistry, computational biology, structural biology, multi-omics, systems biology, molecular modeling, protein engineering, or computational drug discovery.
Evidence of success in, or strong potential for, securing competitive external funding.
Experience developing or teaching courses in biochemistry, computational biology, bioinformatics, data science, AI, or machine learning.
Experience collaborating across computational and experimental disciplines and translating computational predictions into testable biological hypotheses.
Experience mentoring students or trainees from a range of educational and personal backgrounds.

Responsibilities

Establish and sustain an independent, nationally recognized, externally funded research program at the intersection of AI/machine learning and biochemistry or biomedical science.
Develop and apply rigorous computational approaches to biological questions in areas such as protein modeling and engineering, molecular interactions, systems biology, multi-omics, biomarker discovery, or drug discovery.
Publish research findings in peer-reviewed outlets and present work at scientific and professional meetings.
Pursue competitive funding from federal agencies, foundations, industry, and other appropriate sponsors.
Build collaborative research programs across MCBS, COLSA, relevant UNH departments and centers, and external partners.
Mentor undergraduate and graduate researchers and support their development as ethical, reproducible, and collaborative scientists.
Develop courses and learning modules that integrate artificial intelligence, machine learning, data science, and quantitative reasoning into biochemistry and the life sciences.
Contribute to existing biochemistry and molecular bioscience curricula and participate in ongoing curriculum development.
Advise and mentor undergraduate and graduate students, including those engaged in independent research and experiential learning.
Use evidence-based and inclusive teaching practices that support students with varied academic, cultural, and professional backgrounds.
Contribute service to the department, college, university, scientific community, and relevant professional organizations.
Participate in faculty governance, student recruitment and retention, program assessment, and other activities that advance the academic mission.
Help foster a collegial, inclusive, respectful, and team-oriented working and learning environment.