Data Analyst

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 data analyst will support imaging-related research conducted by investigators 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 include collecting and organizing large datasets with clinical imaging data; applying, testing, validating and extending advanced image processing algorithms and protocols on medical images from various clinical studies in a distributed cloud computing environment; collecting, organizing and verifying final quantitative and imaging results; performing statistical analyses and hypothesis testing using advanced machine learning methods. The data analyst will also perform quality control on the results, and communicate with lab faculty, trainees, and clinical collaborators in preparation of publications. This position offers the opportunity to gain valuable experience using advanced medical image processing techniques and to apply these methods in the study of emerging cancer therapies. CBICA has been a dynamically growing medical image analysis group, including several research laboratories and many collaborators from diverse fields. Opportunities within CBIG exist in many projects on multi-modality imaging breast and lung cancer applications, including molecular imaging.

The position requires a BS degree, preferably in computer science, statistics, biomedical engineering, mathematics or a related discipline with an emphasis in computational methods, and 2 years of experience including at least one year of hands-on experience conducting image analysis, bioinformatics, and statistical analysis research or an equivalent combination of education and experience. Master’s degree is preferred. Strong computational/programming skills (advanced knowledge of C/C++ and Python, version control, statistical analysis packages, experience in Linux/Unix platforms and shell scripting) is a must. Good organizational and communication skills are also essential for the position. Experience with medical images and distributed cloud computing is a plus.

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.

Similar jobs

Similar jobs