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BACKGROUND

The Wistar Institute is looking for an exceptional candidate to join their Cancer Center Bioinformatics Shared Resources Team. The position is highly collaborative and interdisciplinary with opportunities to work with a variety of investigators on basic mechanisms of gene regulation, identification of disease and cancer targets and functional and diagnostic genomics. The successful candidate will play a key role in an integrative team of bioinformatics analysts and biomedical researchers. We are looking for an individual who is enthusiastic about taking a hands-on collaborative approach to understanding these problems and in making significant contributions to our efforts.

Successful candidates will work with wet-lab researchers to translate computational models into testable experiments and should have experience communicating in a biomedical environment with broad understanding of the field. The position requires familiarity with the analysis of high throughput data from various sources including NGS sequencing, microarrays and proteomics and the capability to integrate various types of high dimensional data with functional biological information and to explore novel data representation modes with emphasis on integrating diverse result types.

RESPONSIBILITIES

Characteristic Duties:

Pre-experimental project consultations
Develop data analysis strategies, write algorithms as needed, and identify and deploy computational tools for the exploration of high-throughput datasets
Conceive, implement and test statistical models
Prepare project reports and discuss results, problems and solutions with users

REQUIREMENTS

PhD degree in Bioinformatics, Computer Science, Engineering, Statistics, Physics, or any quantitative discipline. A minimum of 2 years of post-doctoral experience in computational analysis of high dimensional biomedical data ( next generation sequencing, microarrays, proteomics) is preferred. Candidates should have outstanding academic records; a demonstrated proficiency with statistical and programmatic tools needed for the exploration of high-dimensionality datasets and be an innovative and analytical thinker with strong communication skills who can work well in an inter-disciplinary team.

Significant experience with at least some of the following is required:

Experience in Matlab or R statistical environments is required
Experience in programming languages (Python, Perl or C/C++) is required
Analysis of data using machine learning approaches
Developing tools for data visualization
Implementing algorithms for data search, retrieval and annotation
A background in Biology or demonstrated experience working and communicating with biologists is very helpful

COMPENSATION

We offer an excellent benefits package.

ABOUT US

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.

For more information about The Wistar Institute visit our website at http://www.wistar.org.

HOW TO APPLY

Curriculum Vitae and three references should be sent to: Dr. Louise Showe, The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104 or via email to lshowe[at]wistar.org. Applicants are also encouraged to apply online by visiting http://www.wistar.org/the-institute/employment.

POLICY

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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