Position Number:

F0A59W

Assistant Professor of Applied Science (Genomic Data Science)

Applied Science is an interdisciplinary department focused on excellence in research, scholarship, and Ph.D. education in fields that include applied mathematics, biophysics, biochemistry, data science, neuroscience, materials science, and engineering. We provide customized training that enables students from diverse educational backgrounds to solve complex scientific and technical problems studied by Applied Science core faculty as well as affiliated faculty from the William & Mary main campus and nearby national labs, other institutions of higher education, and industry. Applied Science always has been a hub of innovation and a long-term supporter of cross-disciplinary STEM programs like Computational and Applied Mathematics (CAMS), Engineering Physics and Applied Design (EPAD), Neuroscience, and Data Science. Our research and training programs embody the teacher-scholar model and address real-world problems.

The Department of Applied Science at William & Mary, a public university of the Commonwealth of Virginia, seeks applications for a tenure track position at the Assistant Professor level in Genomic Data Science. Appointment will begin August 10, 2025. We are interested in individuals with evidence of scholarly achievement and expertise in genomic data science, broadly construed to include genomics, transcriptomics, proteomics, bioinformatics, and/or computational biology. The candidate's research program is expected to include both experimental (wet lab, data generating) and computational (data analysis, computational methods) components. Exceptional applicants from all areas of genomic data science will be considered.


Duties include research, teaching, and service to the University. The applicant is expected to establish and maintain a vibrant, externally funded research program that involves Ph.D. students and undergraduates. The Department of Applied Science (
https://www.wm.edu/as/appliedscience/) is part of the New School for Computation, Data Sciences, and Physics (
https://www.wm.edu/about/administration/provost/action-areas/newschool/). Applied Science faculty are highly interdisciplinary and often collaborate with faculty across the University.


The teaching expectation is one course per semester, typically including a lecture course in genomic data science to serve the Applied Science graduate program and undergraduate students from the programs mentioned above, as well as an upper-level course in the applicant's area of expertise.

Applicants must hold a Ph.D. in genomic data science, biology, neuroscience, bioinformatics, computational biology, or a related field at the time appointment begins (August 10, 2025).

Previous experience acquiring extramural funding is preferred, as is prior successful teaching and mentoring of graduate and undergraduate research. Postdoctoral experience of two or more years is desirable.

3KE510 Applied Science Dept

William & Mary

09/19/2024

10/21/2024

11/18/2024

No

Faculty

William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching and service missions of the university. The university is an Equal Opportunity/Affirmative Action employer and encourages applications from women, minorities, protected veterans, and individuals with disabilities.

William & Mary offers our employees a full array of benefits including retirement, health insurance with options for expanded dental and vision along with group and optional life insurance with coverage for spouse and children, flexible spending accounts, and an EAP (Employee Assistance Program).


Our employees enjoy additional university benefits such as educational assistance, professional development, wellness benefits, and a robust holiday schedule. All employees have access to fitness facilities on campus. Staff members also have access to the university libraries, and much more. To learn more, go to: https://www.wm.edu/offices/uhr/benefits/index.php?type=none