Position: Bioinformatician

Description: The Icahn School of Medicine at Mount Sinai in NY is seeking a talented, self-motivated individual to participate in cutting edge research as a member of the Asthma and Allergy group at the Institute for Genomics and Multiscale Biology (http://icahn.mssm.edu/departments-and-institutes/genomics/research/focus-areas/asthma-and-allergies ). The successful applicant will join a team that applies computational analysis and bioinformatics to interpret multi-scale data generated from subjects with asthma and allergic diseases.

Responsibilities:

• Analyze next generation sequencing data, including whole genome, RNA-Seq, 16S rRNA, metagenome, and methylation data.
• Develop and implement statistical methods and software to analyze next generation sequencing data for genetic risk, disease mechanism, and drug response. Projects will include network construction and mining.
• Integrate and translate genetic, genomic, eQTL, structural, and clinical data into novel diagnostics, therapeutics and disease mechanisms
• Maintain complex next generation sequence and array datasets linked to clinical data.
• Communicate progress with PI regularly and contribute to the success of the research team.
• Develop and maintain productive collaborations within Mount Sinai and with outside researchers in academia and industry.
• Publish and present novel research findings in academic journals and conferences
• Some supervision of trainees and technical staff may also be required.

Requirements:

• Outstanding programming skills in R, Perl, Python, Java, C++, and Unix shell scripting.
• Excellent track record of analyzing next generation sequencing data. Experience in network analysis a plus.
• Demonstrated knowledge of statistics, statistical genetics, bioinformatics concepts, methods and tools. Familiarity with genomic data tools, repositories, and databases.
• Strong attention to detail and solid analytical skills.
• Ability to work hard and independently while contributing to the team effort and adhering to deadlines.
• Excellent oral and written communication skills with track record of productive collaborations.
• Demonstrated ability to work concurrently on several projects, and good understanding of analytic complexities to do independent research as well as assist other researchers.

Education:

MS or PhD in bioinformatics, computer science, computational biology, genomics, or a related field.

If interested, please submit a letter of interest and CV to Dr. Supinda Bunyavanich at supinda.bunyavanich@mssm.edu