Non-Tenure-Track Assistant Professor of Research - Genetic Variation and Evolution (IGEM)

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Position Summary

The Institute for Genomics and Evolutionary Medicine (iGEM) at Temple University invites applications for multiple non-tenure-track Assistant Professor of Research positions in genetic variation, computational genomics, and molecular evolution. Successful candidates will develop and apply statistical, computational, and artificial-intelligence approaches to analyze genome-scale variation across individuals, populations, and species. Research may address fundamental or biomedical questions in molecular evolution, phylogenomics, functional genomics, genome dynamics, genetic disease, and phylomedicine.

These positions are designed for early-career computational scientists who will initially work closely within the research program of an iGEM faculty member while contributing broadly to the institute's scientific mission. Successful candidates will take intellectual leadership of major research projects, contribute to the mentoring and training of students and researchers, and collaborate with faculty across iGEM and Temple University. Over time, appointed candidates will be encouraged to establish distinct scientific profiles, pursue new research directions, and progressively develop independent portfolios of extramural funding.

The positions provide an opportunity to combine the intellectual support, collaborative environment, and research infrastructure of an established program with a pathway toward increasing scientific independence and leadership.

About iGEM and Temple University

The Institute was established at Temple University in 2014 and is housed in the College of Science and Technology. iGEM's mission is to harness evolutionary knowledge to advance fundamental research and develop applications spanning biomedicine, genomics, and biodiversity.

iGEM brings together tenured, tenure-track, and research faculty with expertise in molecular evolution, computational biology, genomics, bioinformatics, and related disciplines. Its faculty lead externally funded research and development programs, participate in undergraduate and graduate teaching programs, and collaborate across departments, colleges, and institutions. We seek colleagues who will expand this scientific breadth while contributing to a collegial and highly collaborative research environment.

Since its founding, Temple University has been committed to challenging the status quo and expanding access to education and discovery. Today, Temple is a major public research university with more than 30,000 undergraduate, graduate, and professional students and more than 300,000 alumni worldwide.

Responsibilities

Successful candidates will:

• Develop and apply statistical, computational, machine-learning, and deep-learning approaches to address important questions in evolutionary biology, genomics, and biomedicine.
• Design and implement advanced computational frameworks for analyzing large and complex genomic datasets across individuals, populations, and species.
• Take intellectual leadership of major research projects, including the formulation of research questions, development of analytical strategies, interpretation of results, and preparation of publications.
• Produce high-quality research publications and contribute to the development and dissemination of computational methods, software, and reproducible analytical resources.
• Contribute to ongoing collaborative and grant-funded projects within an iGEM faculty members' research program.
• Initiate new research directions and progressively pursue extramural funding as a principal investigator, co-investigator, or key personnel, as appropriate to experience and career stage.
• Collaborate with faculty, research staff, postdoctoral fellows, and students across iGEM and Temple University.
• Participate in the co-mentoring and training of undergraduate and graduate students, postdoctoral researchers, and other trainees.
• Contribute to the broader scientific activities of iGEM, including seminars, workshops, collaborative meetings and research-development initiatives.

These positions are primarily research focused. Opportunities may also be available to contribute to undergraduate or graduate teaching, workshops, and team-based training activities.

Qualifications

Required Qualifications

Applicants must have:

• A Ph.D. in bioinformatics, computational biology, evolutionary biology, genomics, computer science or another relevant discipline.
• A strong record of research productivity appropriate to career stage.
• Research experience in one or more relevant areas, including molecular evolution, comparative genomics, phylogenetics, population genomics, functional genomics, statistical genetics, computational biology, or genomic data science.
• Demonstrated ability to design, implement, or apply advanced computational approaches to biological data.
• The ability to work effectively both independently and as part of a multidisciplinary research team.
• Excellent written and oral communication skills.
• A commitment to collaborative research and the mentoring and training of students and researchers.

Preferred Qualifications

Preferred qualifications include:

• Postdoctoral or equivalent research experience.
• Experience developing statistical, machine-learning, or artificial-intelligence methods for evolutionary, genomic, or biomedical applications.
• Expertise in one or more of the following areas (but not limited to): molecular evolution, natural selection, phylogenomics, functional genomics, genetic disease, genome dynamics, protein evolution, or phylomedicine.
• Experience analyzing large-scale genomic, transcriptomic, proteomic, or comparative datasets.
• Experience with scientific software development and/or high-performance computing.
• Evidence of intellectual leadership in collaborative research projects.
• Experience contributing to manuscripts, grant proposals, or externally funded research programs.
• Interest in progressively developing an independent research and extramural funding portfolio.

Application Instructions

Applicants should submit a single PDF containing:

1. A cover letter describing their qualifications, research interests, and potential fit with iGEM;

2. A detailed curriculum vitae; and

3. A brief research statement describing previous accomplishments, future research interests, and potential connections to ongoing research in iGEM.

Applicants should include a link to their Google Scholar profile in the cover letter.

Application materials should be sent by email to s.kumar@temple.edu with the subject line "Assistant Professor of Research Application (2026)."

Review of applications will begin August 15, 2026, and will continue until all the positions are filled. The anticipated starting date is negotiable, and there are no provisions for start-up funds. References may be requested at a later stage of the selection process.

Equal Employment Opportunity Statement

Temple University values diversity and is committed to equal opportunity for all persons regardless of age, color, disability, ethnicity, marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status protected by law.

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Position Summary

The Institute for Genomics and Evolutionary Medicine (iGEM) at Temple University invites applications for multiple non-tenure-track Assistant Professor of Research positions in genetic variation, computational genomics, and molecular evolution. Successful candidates will develop and apply statistical, computational, and artificial-intelligence approaches to analyze genome-scale variation across individuals, populations, and species. Research may address fundamental or biomedical questions in molecular evolution, phylogenomics, functional genomics, genome dynamics, genetic disease, and phylomedicine.

These positions are designed for early-career computational scientists who will initially work closely within the research program of an iGEM faculty member while contributing broadly to the institute's scientific mission. Successful candidates will take intellectual leadership of major research projects, contribute to the mentoring and training of students and researchers, and collaborate with faculty across iGEM and Temple University. Over time, appointed candidates will be encouraged to establish distinct scientific profiles, pursue new research directions, and progressively develop independent portfolios of extramural funding.

The positions provide an opportunity to combine the intellectual support, collaborative environment, and research infrastructure of an established program with a pathway toward increasing scientific independence and leadership.

About iGEM and Temple University

The Institute was established at Temple University in 2014 and is housed in the College of Science and Technology. iGEM's mission is to harness evolutionary knowledge to advance fundamental research and develop applications spanning biomedicine, genomics, and biodiversity.

iGEM brings together tenured, tenure-track, and research faculty with expertise in molecular evolution, computational biology, genomics, bioinformatics, and related disciplines. Its faculty lead externally funded research and development programs, participate in undergraduate and graduate teaching programs, and collaborate across departments, colleges, and institutions. We seek colleagues who will expand this scientific breadth while contributing to a collegial and highly collaborative research environment.

Since its founding, Temple University has been committed to challenging the status quo and expanding access to education and discovery. Today, Temple is a major public research university with more than 30,000 undergraduate, graduate, and professional students and more than 300,000 alumni worldwide.

Responsibilities

Successful candidates will:

• Develop and apply statistical, computational, machine-learning, and deep-learning approaches to address important questions in evolutionary biology, genomics, and biomedicine.
• Design and implement advanced computational frameworks for analyzing large and complex genomic datasets across individuals, populations, and species.
• Take intellectual leadership of major research projects, including the formulation of research questions, development of analytical strategies, interpretation of results, and preparation of publications.
• Produce high-quality research publications and contribute to the development and dissemination of computational methods, software, and reproducible analytical resources.
• Contribute to ongoing collaborative and grant-funded projects within an iGEM faculty members' research program.
• Initiate new research directions and progressively pursue extramural funding as a principal investigator, co-investigator, or key personnel, as appropriate to experience and career stage.
• Collaborate with faculty, research staff, postdoctoral fellows, and students across iGEM and Temple University.
• Participate in the co-mentoring and training of undergraduate and graduate students, postdoctoral researchers, and other trainees.
• Contribute to the broader scientific activities of iGEM, including seminars, workshops, collaborative meetings and research-development initiatives.

These positions are primarily research focused. Opportunities may also be available to contribute to undergraduate or graduate teaching, workshops, and team-based training activities.

Qualifications

Required Qualifications

Applicants must have:

• A Ph.D. in bioinformatics, computational biology, evolutionary biology, genomics, computer science or another relevant discipline.
• A strong record of research productivity appropriate to career stage.
• Research experience in one or more relevant areas, including molecular evolution, comparative genomics, phylogenetics, population genomics, functional genomics, statistical genetics, computational biology, or genomic data science.
• Demonstrated ability to design, implement, or apply advanced computational approaches to biological data.
• The ability to work effectively both independently and as part of a multidisciplinary research team.
• Excellent written and oral communication skills.
• A commitment to collaborative research and the mentoring and training of students and researchers.

Preferred Qualifications

Preferred qualifications include:

• Postdoctoral or equivalent research experience.
• Experience developing statistical, machine-learning, or artificial-intelligence methods for evolutionary, genomic, or biomedical applications.
• Expertise in one or more of the following areas (but not limited to): molecular evolution, natural selection, phylogenomics, functional genomics, genetic disease, genome dynamics, protein evolution, or phylomedicine.
• Experience analyzing large-scale genomic, transcriptomic, proteomic, or comparative datasets.
• Experience with scientific software development and/or high-performance computing.
• Evidence of intellectual leadership in collaborative research projects.
• Experience contributing to manuscripts, grant proposals, or externally funded research programs.
• Interest in progressively developing an independent research and extramural funding portfolio.

Application Instructions

Applicants should submit a single PDF containing:

1. A cover letter describing their qualifications, research interests, and potential fit with iGEM;

2. A detailed curriculum vitae; and

3. A brief research statement describing previous accomplishments, future research interests, and potential connections to ongoing research in iGEM.

Applicants should include a link to their Google Scholar profile in the cover letter.

Application materials should be sent by email to s.kumar@temple.edu with the subject line "Assistant Professor of Research Application (2026)."

Review of applications will begin August 15, 2026, and will continue until all the positions are filled. The anticipated starting date is negotiable, and there are no provisions for start-up funds. References may be requested at a later stage of the selection process.

Equal Employment Opportunity Statement

Temple University values diversity and is committed to equal opportunity for all persons regardless of age, color, disability, ethnicity, marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status protected by law.

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