Senior Research Investigator

Pennsylvania United States
11 Oct 2018
End of advertisement period
11 Dec 2018
Contract Type
Full Time

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education.

The Senior Research Investigator will be responsible for facilitating and coordinating several ongoing research projects in the Computational Breast Imaging Group (CBIG) at the Department of Radiology Center for Biomedical Image Computing and Analytics (CBICA). He/she will work collaboratively and will interface with faculty, research scientists, and trainees forming a diverse imaging and data science team. Responsibilities will include overseeing the collection and organization of large databases with clinical imaging data; planning and implementation of image processing and analysis pipelines using existing computational modules; development of new computational tools; design experiments, test hypotheses, and build statistical/machine learning models; supervision of image analysts in data organization and successful execution of the processing pipeline in a distributed cloud computing environment. Also, he/she will be responsible for reporting and communication of image processing and analysis results to scientific collaborators and designing quality control protocols to ensure the integrity and the quality of original and processed images, as well as of final quantitative results. The Senior Research Investigator will work in close collaboration with external collaborators to assist them in the interpretation of the reported results. He/she will perform statistical analysis of the imaging-derived data working together with other researchers in the lab and will contribute to manuscripts for publication in peer-reviewed scientific journals. He/she will also supervise and train other research staff and will attend meetings and conferences as needed.

This is a high-energy, and highly interactive position where good problem solving, organizational, and communication skills, and a team-work mentality are vital. Strong writing skills are also key; publication record in imaging research is preferred. CBICA has been a dynamically growing group, including several research laboratories and many collaborators from diverse fields. Opportunities within CBIG exist in many existing and new projects in multi-modality imaging breast and lung cancer applications, including molecular imaging.

The position requires a Ph.D. degree, preferably in computer science, statistics, biomedical engineering, mathematics or a related discipline with a strong background in computational methods, and 5 to 7 years of hands-on experience conducting image analysis, bioinformatics, and statistical analysis research. Experience in image processing, statistics, data mining, machine learning, pattern analysis, and programming/software development is required (advanced knowledge of C/C++, Python, and Matlab, statistical analysis packages, version control, advanced experience in Linux/Unix platforms, shell scripting and distributed computing is a must). Experience with oncologic imaging research is a plus (e.g., X-ray/CT, MRI, PET).

Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.

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