Surgical Operating Room Tech

Position Summary

We have an exciting opportunity to join our team as a Associate Bioinformatics Programmer.

The Associate Bioinformatics Programmer is a critical member of Dr. Aravinda Chakravarti's lab and will perform intensive analysis of human genome genotype and sequence data for gene discovery in complex human disease. The laboratory has recently been funded on a major project to understand the genetic basis of sex differences in autism in collaboration with the laboratories of Evan Eichler, Huda Zoghbi, and Tom Nowakowski.

We seek an individual to analyze whole genome sequence and brain transcriptomic, open chromatin and sex‑hormone‑dependent gene expression data, from patients and reference samples, for deciphering the sex‑specific and sex‑independent brain regulatory machinery in autism. The individual will adapt existing and develop novel software applications for a growing computing and analysis development team in human disease genomics; work collaboratively with other lab members, but also complete projects on time and independently;

and develop computational expertise in genetics.

• Participate in application and software maintenance work and provide troubleshooting services to user groups.
• Participate in writing related technical reports and/or publications.
• Ensure the integrity and security of data, code, and experiments.
• Document all software, code, and experiments.
• Help to design and implement for the developing web‑based applications.
• Participate in the deployment of web‑based software applications, and related information search and retrieval systems.
• Develop computational expertise in genetics and develop technology to support analysis dynamically using Perl, JavaScript, Java, and Cold Fusion.
• Adapt existing and develop novel software applications for a growing computing and analysis development team in human disease genomics.
• Perform intensive analysis of human genome genotype and sequence data for gene discovery in complex human disease, and other application and system programming as needed.
• Collect and analyze lab members' requirements, design and build data and function flows and participate in programming work, including the implementation of information systems and participation in the formulation of procedures as they relate to functional areas.
• Participate in special programs and perform other duties as assigned.

To qualify you must have a Bachelor's Degree in Computer Science, Math, Statistics, Physics, Information Science or related technical discipline. Strong programming skills in Matlab, R, C/C++, Perl/Python. Must be able to work in a demanding and dynamic team environment and work independently. Knowledge of algorithms and data‑structures. Experience with web‑based application development languages such as HTML/JavaScript, Cold Fusion, ASP/JSP. Experience with Windows and Unix/Linux operating systems;

ability to read and write technical documentation; proficiency in the use of software applications, databases, spreadsheets, and/or word processing required. Excellent communication skills, both oral and written required.

None

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Langone Health provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58,500.00 – $70,000.00 annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision.

We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, . Please  to view the Federal "EEO is the law" poster or visit https://(Use the "Apply for this Job" box below). for more information.