Asst Professors in Computational Biology, Statistical Genomics Structural Proteomics, Bioinformatics

Description

Job Summary
The College of Science at Purdue University seeks applications for multiple tenure-track Assistant Professor positions in all areas of Computational Biology, Computational/Statistical Genomics, Structural Proteomics, and Bioinformatics. Examples of areas of interest include but are not limited to computational, statistical, or experimental advancements in genomics, proteomics, metabolomics, multi-omics integration, computational neuroscience, computational modeling and analysis of brain function, neural systems and behavior, biological imaging, biomolecular structure modeling and design, bioinformatics or health informatics, and biomedical and biological applications of artificial intelligence (AI).

Application Areas
Application areas may include but are not limited to Neuroscience, Cellular and Molecular Biology, Microbiology, Infectious Disease, Drug Discovery, Cancer, Ecology and Evolutionary Biology. Successful candidates may focus on purely computational/statistical research or experimental “wet lab” research, or a combination of both. We welcome applicants whose work bridges these areas to address critical challenges in biology.

The departments participating in this search include Biological Sciences, Computer Science and Statistics. We are especially interested in fostering interdisciplinary collaboration and we anticipate appointments either in a single department or joint appointments across these departments, with tenure homes as appropriate for each candidate based on their interests.

Major Strategic Initiatives
The search is motivated by two major strategic initiatives recently launched at Purdue University that will connect faculty and students from across the institution and enable the university to advance to the forefront with unparalleled excellence at scale: Purdue Computes (www.purdue.edu/computes/), consisting of three dimensions (Computing, Physical Artificial Intelligence, and Semiconductors); and Purdue One Health expanding knowledge of animal, human and environmental well-being (www.purdue.edu/onehealth/).

Purdue Biological Sciences, Computer Sciences, and Statistics
Purdue is one of the nation’s leading land-grant universities (top 10 most innovative for six years in a row according to US News & World Report), with an enrollment of over 50,000 students primarily focused on STEM subjects. The three departments participating in this search (Biological Sciences, Computer Science, and Statistics) offer a stimulating academic environment with active research programs in almost all areas related to Computational Biology. For more information, see Purdue Biological Sciences: www.bio.purdue.edu/; Purdue Computer Science: www.cs.purdue.edu, Purdue Statistics: www.stat.purdue.edu/).

Opportunities for Collaboration
Opportunities for collaboration exist across all colleges in the university. The Life Sciences Institutes and the Institute for Physical AI provide additional opportunities and resources for collaboration across the entire Purdue campus (Purdue Discovery Park: discoveryparkdistrict.com/, Purdue Institute for Physical AI: www.purdue.edu/computes/institute-for-physical-artificial-intelligence/).



Purdue’s main campus is located in West Lafayette, Indiana, a rapidly growing, welcoming, and diverse community with a wide variety of cultural activities, events, and industries. With the new Purdue Indy campus (www.purdue.edu/campuses/indianapolis/), there may also be an opportunity to be based in Indianapolis. Purdue also offers a Concierge Program that provides dual career assistance and relocation services.

Qualifications
Candidates must hold a Ph.D. degree in a field related to the Life Sciences, Computer Science, Statistics, or any related discipline by the employment start date and demonstrate potential to build an independent research program, as well as the potential to educate and mentor students. A successful candidate will conduct externally funded original research, advise graduate students, teach undergraduate and graduate-level courses, and offer service at the Department, College, and University levels.

Application Process
Applications need to be submitted to careers.purdue.edu/job/Assistant-Professor-Computational-Science/34285-en_US/ including (1) a complete curriculum vitae, (2) a statement of research and a statement of teaching, and (3) names and contact information of at least three references. You are advised to ensure that your Google Scholar profile is up to date, although this is not a requirement.



If selected by the committee, you will be first invited to a video interview, and, if you advance to the next phase of the process, you will be invited to an on-site interview. If selected by the committee for an on-site interview, you will receive an email with instructions on how to submit your references.


Qualifications


Start date

August 01, 2025

How to Apply

Applications will be considered beginning December 2, 2024, and will be reviewed until the positions are filled. A background check will be required for employment in this position. For any questions related to this search please email computational-biology@purdue.edu.