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Bioinformatician – Research Assistant Professor
The Waksman Institute of Microbiology located on the New Brunswick campus of Rutgers University is seeking a highly motivated and talented bioinformatics scientist for an Research Assistant Professor appointment. The successful candidate will analyze genome, transcriptome, and epigenome data generated on the Life Sciences 454, Illumina, and AB SOLiD high-throughput sequencing platforms. Excellent communication and teamwork skills are essential as the successful candidate will work closely with individual research groups to develop software to facilitate the visualization, quantification, and interpretation of the data. The successful candidate will be expected to contribute to the publication of scientific literature and to present at seminars and conferences.
Qualifications:
- PhD in molecular biology, genetics, bioinformatics, systems biology or other related fields; candidates with a PhD in physics, mathematics, or computer science with some working knowledge of biology and experience are encouraged to apply.
- Demonstrated scientific track record
- Highly proficient in perl, python, or ruby programming, linux/unix scripting, and SQL.
- Experience with R is desirable but not required
- Experience with high-throughput sequencing, microarrays, or other high-throughput biological platforms
- Excellent communication and organizational skills
How to Apply:
Please send a cover letter stating your current research interests, why you are interested in this position, and how your skill set complements this position along with a curriculum vitae, and the names and contact information of three references to [email protected]. Please include "Bioinformatics Assistant Research Professor" in the subject line. Rutgers is an equal opportunity employer.
For more information about this position please contact:
Dr. David Sidote ([email protected])
Waksman Institute
Rutgers, The State University of New Jersey
190 Frelinghuysen Road
Piscatawway, NJ 08854
The Waksman Institute of Microbiology located on the New Brunswick campus of Rutgers University is seeking a highly motivated and talented bioinformatics scientist for an Research Assistant Professor appointment. The successful candidate will analyze genome, transcriptome, and epigenome data generated on the Life Sciences 454, Illumina, and AB SOLiD high-throughput sequencing platforms. Excellent communication and teamwork skills are essential as the successful candidate will work closely with individual research groups to develop software to facilitate the visualization, quantification, and interpretation of the data. The successful candidate will be expected to contribute to the publication of scientific literature and to present at seminars and conferences.
Qualifications:
- PhD in molecular biology, genetics, bioinformatics, systems biology or other related fields; candidates with a PhD in physics, mathematics, or computer science with some working knowledge of biology and experience are encouraged to apply.
- Demonstrated scientific track record
- Highly proficient in perl, python, or ruby programming, linux/unix scripting, and SQL.
- Experience with R is desirable but not required
- Experience with high-throughput sequencing, microarrays, or other high-throughput biological platforms
- Excellent communication and organizational skills
How to Apply:
Please send a cover letter stating your current research interests, why you are interested in this position, and how your skill set complements this position along with a curriculum vitae, and the names and contact information of three references to [email protected]. Please include "Bioinformatics Assistant Research Professor" in the subject line. Rutgers is an equal opportunity employer.
For more information about this position please contact:
Dr. David Sidote ([email protected])
Waksman Institute
Rutgers, The State University of New Jersey
190 Frelinghuysen Road
Piscatawway, NJ 08854