Organization Overview

The Laboratory of Human Genetics of Infectious Diseases studies the genetics of human predisposition to pediatric infectious diseases,particularly mycobacterial diseases,invasive pneumococcal diseases,and herpes simplex encephalitis. It aims to identify Mendelian 'holes' in the immune defense of otherwise healthy children who are susceptible to specific infectious diseases,work that has profound implications for and has resulted in a paradigm shift in human clinical medicine and fundamental immunology. In the past decade,the laboratory has uncovered that single genetic lesions in children confer severe and selective vulnerability to certain illnesses,whereas corresponding infections in adults result more from polygenetic inheritance. This work not only blurs the distinction between patient-based Mendelian genetics and population-based complex genetics but has also provided experimental support for a unified theory of human infectious diseases.

Overview

We seek a Bioinformatics Assistant to join the Laboratory of Human Genetics of Infectious Diseases. The successful candidate will join the dry lab division, and will aid in the management and analysis of sequencing data (RNA, genome, exome) from individuals with a wide range of infectious diseases. The candidate will mainly analyze bulk/single-cell RNA-seq data; evaluate and implement new analysis methods; and manage RNA-seq database. Additional responsibilities include: aiding in the genome/exome-sequencing pipeline, maintaining in-house computer servers, communicating with IT for any IT-related issues, and providing bioinformatic support to lab members and external collaborators.

Responsibilities

Specific tasks include:

• Perform bulk/single-cell RNA-seq data analysis

• Manage the acquisition and deposition of RNA-seq data

• Evaluate and implement new analysis methods

• Operate and manage in-house genome/ exome- sequencing analysis pipeline

• Provide miscellaneous bioinfomatic support

Qualifications

Requirements:

• Familiar with Linux environment and shell script.

• Excellent programming experience in Python and R.

• Excellent verbal and written communication skills.

• Prior experience in RNA-seq data analysis is a must.

• Strong sense of responsibility, and attention to detail are a must.

• Able to work as part of a team in a fast-paced environment.

• Educational Requirements: MS degree in bioinformatics, computational biology, or related fields.

Preferred:

• Prior experiende in genome/ exome-sequencing data analyses is a plus.

• Prior experience in website/database development is a plus.

• Experience in genetics studies preferred.

The Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above.

The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Compensation Range: Min

USD $48,000.00/Yr.

Compensation Range: Max

USD $56,000.00/Yr.