Associate Bioinformatician - Genomics & Data Analytics

Mount Sinai; EUA; Presencial; USD 70 000 - 100 000; Tempo integral

Resumo da oferta

Mount Sinai seeks an Associate Bioinformatician to manage large biomedical databases and perform statistical and genomic analyses. You will work with researchers to apply innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and computational methods.

The role emphasizes designing tools, resolving software issues, and delivering bioinformatics services for data from cutting-edge genomic technologies.

Qualificações

• B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline. M.S. in related field preferred.
• Minimum 1 year of experience in research environment, 2-3 years preferred.

Responsabilidades

• Designs and implements bioinformatics tools and processes.
• Identifies and resolves technical issues and proposes upgrades to current software.
• Develop projects and work independently on a variety of bioinformatics analysis projects.
• Manages databases, conducts statistical and genomic analysis, and participates in the preparation of manuscripts and presentations.
• May be involved in sequence and structural analysis, data mining, or statistical modeling.
• May collaborate with wet-bench biologists and work independently to analyze data from microarrays and high-throughput sequencing.
• May conduct analysis of microarray and high-throughput sequencing data, genome sequence analysis, experimental design and statistical analysis.

Conhecimentos

Genomic analysis

Statistical analysis

Programming

Data management

Formação académica

B.S./Bachelors in Biological Sciences

M.S. preferred

Ferramentas

R

Python

SQL

Descrição da oferta de emprego

Mount Sinai seeks an Associate Bioinformatician to manage large biomedical databases and perform statistical and genomic analyses. You will work with researchers to apply innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and computational methods.

The role emphasizes designing tools, resolving software issues, and delivering bioinformatics services for data from cutting-edge genomic technologies.