Associate Bioinformatician – Genomics & Data Analysis

Mount Sinai Morningside; New York (NY); On-site; USD 60,000 - 68,000; Full time

Job summary

Mount Sinai Morningside is seeking an Associate Bioinformatician to manage large databases and perform statistical and genomic analyses within an integrated experimental and bioinformatics environment focused on human disease. You will deliver bioinformatics services for biomedical data from cutting-edge genomic technologies.

The role emphasizes strong statistical and programming skills with proven expertise in genomic analysis and collaboration with researchers to design and implement analyses

Qualifications

• 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

Responsibilities

• 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 manuscripts and presentations.
• May collaborate with wet-bench biologists and work independently to analyze data derived from several types of projects using microarrays and high-throughput sequencing.
• May conducts analysis of microarray and high-throughput sequencing data, genome sequence analysis, experimental design and statistical analysis.

Skills

Statistical analysis

Genomic analysis

Programming proficiency

Data management

Education

Bachelor's degree

MS preferred

Job description

Mount Sinai Morningside is seeking an Associate Bioinformatician to manage large databases and perform statistical and genomic analyses within an integrated experimental and bioinformatics environment focused on human disease. You will deliver bioinformatics services for biomedical data from cutting-edge genomic technologies.

The role emphasizes strong statistical and programming skills with proven expertise in genomic analysis and collaboration with researchers to design and implement analyses