Job Opportunities

The Penn Institute for Biomedical Informatics seeks candidates for several Full, Assistant, and/or Associate Professor positions in the tenure track and clinician education track. Rank will be commensurate with experience. Applicants must have a Ph.D. and/or M.D. degree and have demonstrated excellent qualifications in education and research.

Successful applicants will have strong training and skills to conduct biomedical informatics research. The faculty appointment will be in an appropriate department in the Perelman School of Medicine. Applicants are expected to obtain funding for their research program and participate in informatics education and mentoring programs in the IBI. Researchers whose work focuses on artificial intelligence or machine learning, natural language processing or text mining, visual analytics, human-computer interaction, or ontologies and knowledge representation are especially encouraged to apply.

The University of Pennsylvania, founded by Benjamin Franklin, is a world-class research institution located near the center of Philadelphia. All of Penn’s twelve schools are located within walking distance of one another. The Perelman School of Medicine at the University of Pennsylvania is one of the top ranked medical schools in the nation for research and NIH funding.

We seek candidates who embrace and reflect diversity in the broadest sense.

The University of Pennsylvania is an EOE. Minorities/Women/Individuals with disabilities/Protected Veterans are encouraged to apply.

Jason H. Moore, Ph.D., is Chair of the IBI Search Committee.

Apply for these positions online.

The Penn Institute for Biomedical Informatics at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for a Full, Associate, and/or Assistant Professor position in the non-tenure clinician-educator track. Rank will be commensurate with experience. Responsibilities include promoting research using clinical data and information systems spanning across Penn Medicine. Applicants must have an Ph.D. and/or M.D. degree.

The successful candidate will serve as the Chief Research Information Officer (CRIO) of the Penn Institute for Biomedical Informatics. This is a senior leadership position, responsible directing a translational clinical research informatics core facility, identifying and leading innovations in research IT and research informatics, leading clinical research informatics educational activities including teaching a graduate course in clinical research informatics, participating in data governance initiatives, and representing Penn Medicine in the regional and national clinical research informatics community.

The IBI is enabled by a recent multi-million dollar gift to expand faculty expertise, build computational infrastructure, and strengthen educational opportunities across the spectrum of biomedical informatics. The IBI will integrate informatics disciplines including bioinformatics, translational bioinformatics, clinical informatics, clinical research informatics, consumer health informatics, and public health informatics.

The CRIO will collaborate with investigators, IT professionals, and Penn Medicine leadership to create a translational clinical research information ecosystem that includes and supports a broad community of researchers, practitioners, and administrators. A critical goal of the position is to develop strategies, design, implement, and optimize systems to support the integration of research with patient care to create a state-of-the-art learning healthcare environment

Successful applicants will have strong training and skills to collaborate on translational clinical research. Applicants must have a doctoral degree in medicine, biomedical informatics, epidemiology, information systems, biostatistics, or related field and have demonstrated expertise and experience in clinical research informatics. The faculty appointment will be in an appropriate department in the Perelman School of Medicine.

The University of Pennsylvania, founded by Benjamin Franklin, is a world-class research institution located near the center of Philadelphia. All of Penn’s twelve schools are located within walking distance of one another. The Perelman School of Medicine at the University of Pennsylvania is one of the top ranked medical schools in the nation for research and NIH funding.

We seek candidates who embrace and reflect diversity in the broadest sense.

The University of Pennsylvania is an EOE. Minorities/Women/Individuals with disabilities/Protected Veterans are encouraged to apply.

Jason H. Moore, Ph.D., is Director of the IBI and Chair of the IBI Search Committee at the University of Pennsylvania Perelman School of Medicine.

We seek candidates who embrace and reflect diversity in the broadest sense.

The University of Pennsylvania is an EOE. Minorities/Women/Individuals with disabilities/Protected Veterans are encouraged to apply.

Apply for these positions online.

IBI is launching its Clinical Research Informatics Core.  We have openings for a Data Scientist.

Apply online for the Data Scientist position.

This position will be responsible for computational analysis of clinical data and biomedical research data using artificial intelligence (AI), machine learning (ML), and visual analytics (VA) methods and applications. The position will be part of the computational support infrastructure within the Penn Institute for Biomedical Informatics (IBI).

Postdoctoral Fellow, Faryabi Lab

About the lab:
Faryabi Lab is part of Institute for Biomedical Informatics (IBI) and Abramson
Cancer Center (ACC) of the University of Pennsylvania. The primary focus of the lab is on
combining novel computational and experimental methods to explore how oncogenic cell
signalings impact tumors epigenome.

About the position:
The primary research focus of an ideal candidate will be on developing novel computational
methods for the integration of genomics, epigenomics and chromatin conformation data sets
within the context of tumor biology. Specifically, we are using single cell technologies to probe
cancer epigenomics to investigate tumor heterogeneity and development. As a member of the
Center for Personalized Diagnostics, a potential candidate will have opportunity to participate in
both basic and translational research while collaborating with scientists across the Perelman
School of Medicine.

A qualified candidate will be strongly motivated individual with following qualifications: a Ph.D. in
computational sciences, engineering, physics, bioinformatics, or related field. Ability to program
in Python/Perl and R in Unix environment, knowledge of SQL, C++ and/or Java is a plus.
Demonstrated applied bioinformatics/computational proficiency evidenced by relevant
publications in peer-reviewed journals is required.

Further information about the lab could be found at https://faryabib.github.io

Interested applicants should send cover letter and CV to faryabiLab@gmail.com.


The laboratories of Dr. Breitenstein and Dr. Moore are recruiting an outstanding postdoctoral fellow candidate. Our laboratories are part of the Institute for Biomedical Informatics and Center for Pharmacoepidemiology Research & Training within the Perelman School of Medicine at the University of Pennsylvania. Our ideal candidate possesses a strong machine learning skill set with expertise in bioinformatics applications and interests in electronic health-record based phenotyping applications. Our focus for this candidate will be applied within two main areas: 1) integrative analysis of multi-dimensional, trans-omics data with gene regulatory network inference, and 2) machine learning applications within medical informatics and pharmacoepidemiology research.

For details about the opening, click here.