Open-rank faculty positions in Biomedical Data Sciences
Penn State University
- University Park Campus
- Date Announced:
- Date Closing:
- open until filled
- Job Number:
- Work Unit:
- College Of Information Sciences And Technology
- College of IST, Institute of Cyberscience, College of Health and Human Development, College of Medicine
Penn State invites applications for new open-rank faculty positions in Biomedical Data Sciences, to build on existing strengths in Data Sciences and Biomedical and Health Sciences, as part of a multi-year hiring initiative in Data Sciences. We seek outstanding Biomedical Data Scientists with a strong track record of research and publication in, and a compelling vision for, realizing the promise and potential of big data to dramatically improve individual and population health, and a demonstrated commitment to interdisciplinary research and education. We are interested in a broad range of expertise in Data Sciences including, but not limited to informatics, information integration, knowledge representation and ontologies, machine learning, causality, longitudinal data analyses, biomedical text and/or image analysis. Successful candidates will have a Ph.D. in a relevant field (e.g., Artificial Intelligence, Computer Science, Informatics, Statistics, Biostatistics, Machine Learning, Public Health Sciences, Demography, Population Health, Health Policy and Economics, Electrical Engineering, Biomedical Engineering, etc.) prior to beginning employment at Penn State. Candidates for Assistant Professor must have strong research potential (as demonstrated by relevant publications). Candidates for Associate Professor should have a strong track record of research publication, and funding, and those for Full Professor position should have a track record of research, publication, and funding that distinguishes them, nationally or internationally, as leaders in Biomedical Data Sciences. All candidates must pass a background check before beginning employment. This cluster hire initiative at Penn State is a partnership of the Institute of Cyberscience (ICS; https://ics.psu.edu/) with the College of Information Sciences and Technology (IST; https://www.ist.psu.edu/), the College of Health and Human Development (https://hhd.psu.edu), and the College of Medicine (https://med.psu.edu). New faculty will be offered an appointment with tenure home in one of many excellent departments in IST, HHD, or CoM, and will be part of a growing cohort of faculty co-hires affiliated with the Institute for Cyberscience (http://ics.psu.edu). IST has a growing cadre of faculty with research expertise in informatics and data sciences (including artificial intelligence, machine learning, information integration, image analytics, text analytics, data privacy, data ethics), and a broad range of applications across emerging data-rich disciplines. IST offers a highly collaborative interdisciplinary research environment, strong research programs in data sciences, human-computer interaction, information security and privacy, and socio-technical systems, a strong Ph.D. program in informatics, and several highly successful undergraduate programs (including one in Data Sciences). CoM has made substantial investments in data-intensive patient–centric approaches to improving healthcare (Precision Health), with particular emphasis on underserved rural populations. HHD has deep expertise related to acquiring and using health-relevant data about behaviors, social interactions, and the physical environment from wearable and ambient sensors to understand the role they play in specific health outcomes and to personalize interventions. The Institute for CyberScience, one of Penn State’s five university-wide research institutes, connects researchers from numerous disciplines to answer critical scientific questions and societal issues through cyber-enabled research and methodology. ICS has nearly 300 affiliated faculty, with over 20 tenure-track co-hired faculty, engaged in interdisciplinary computation and data enabled research. ICS-affiliated faculty utilize ICS operated Advanced Cyber Infrastructure (ICS-ACI), Penn State’s state-of-the-art high-performance research cloud. The university has made substantial investments in Digital Health Collaboratory, which provides a unique infrastructure integrative analyses genomic, clinical, biomedical, environmental, socio-demographic and behavioral data for predictive and causal modeling of health risks and outcomes. The new faculty hires would contribute not only to transformative research in Data Sciences methods and tools (e.g., artificial intelligence, machine learning, information integration, image analysis, longitudinal data analysis, network analysis, text analysis, etc., being pursued by IST and ICS faculty and the Penn State Center for Big Data Analytics and Discovery Informatics) but also undergraduate and graduate training in the Data Sciences through the new undergraduate program in Data Sciences and interdisciplinary graduate programs (e.g., an NIH-funded predoctoral training program in Biomedical Data Sciences); as well as high-impact translational research in Health Sciences (e.g., through the NIH-funded Clinical and Translational Sciences Institute, the Penn State Center for Healthcare and Policy Research, the Penn State Institute for Personalized Medicine, the Huck Institute of the Life Sciences, among others). New faculty hires will join the Institute for CyberScience and will be expected to contribute to a collaborative, interdisciplinary, scholarly community focused on the development and application of innovative computational and statistical methods. To apply, please complete the online application and upload only basic personal information (but not other information listed below). In addition, applicants must submit the following material through https://academicjobsonline.org/ajo/jobs/12521 for the application to be complete: cover letter detailing the relevant qualifications for the position; curriculum vitae including publications list; a 2-5 page research statement outlining future research plans, and a 1-2 page teaching statement. Applicants should also arrange for 3 to 5 references to be submitted via AcademicJobsOnline. Review of applications will begin on December 1, 2018, and continue until the position is filled. Inquiries about the position may be directed to firstname.lastname@example.org.
These salary bands have been established to provide salary guidelines for staff positions.