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Lab-Auslander - Post-Doctoral Fellow

Wistar Institute
Philadelphia, Pennsylvania (US)
Salary commensurate with experience.
Closing date
Oct 10, 2021

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Life Sciences, Cell Biology, Molecular Biology, Cancer Research
Position Type
Full Time
Job Type
Postdoc Fellowship
Organization Type
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The Wistar Institute has an opening for an ambitious and productive Post-Doctoral Fellow to join the laboratory of Dr. Noam Auslander. The Auslander lab employs state-of-the art machine and deep learning techniques to complex biological data, to answer pressing research questions in biomedicine. The lab develops and applies machine and deep learning methods, in combination with bioinformatic approaches, to study the evolution of tumor metastases and identify new markers and therapeutic strategies to mitigate metastatic cancer.

Candidates should have a PhD (or equivalent) degree or should be close to obtaining their doctoral degree. Applicants must have a strong background in one or more of the following disciplines: computer science, data science and machine learning or bioinformatics and computational biology.

In addition to the online application, please submit a curriculum vitae and contact details of three references to Dr. Auslander via e-mail at

The Wistar Institute is located in the University City area of Philadelphia, in the heart of the University of Pennsylvania Campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting edge collaborative research and provides for outstanding intellectual environments and state-of-the-art facilities. Research discoveries conducted at Wistar have led to the development of vaccines; the identification of genes associated with cancers; and the development of many other significant research technologies and tools.

We offer a competitive salary and an excellent benefits package.

For more information about The Wistar Institute visit our website at

It is the policy of The Wistar Institute to provide equal employment opportunities to all individuals regardless of race, color, creed, religion, national origin, ancestry, sex, age, veteran status, disability, sexual orientation, gender identity, or on the basis of genetic information, or any other characteristic protected by federal, state, or local law, with respect to all terms and conditions of employment.

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