Company : NYU Langone Health
Country: United States
Location : New York County, New York
Post: Fri, 22 Sep 2023 09:00:02 GMT
Expires: Fri, 20 Oct 2023 23:59:59 GMT
Apply Job : Apply Online
—————————— Job Description ——————————
is one of the nation’s top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of , the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to , and interact with us on , , , , and .
Position Summary:
We have an exciting opportunity to join our team as a Senior Bioinformatics Programmer.
The Petljak Lab is seeking a highly motivated & creative Senior Bioinformatics Programmer to join a growing multidisciplinary team in a newly formed Cancer Genomics & Genetics program at NYU Grossman School of Medicine.
The successful candidate will form a part of the dynamic research team, housed in the new state-of-the art facilities in CURE building (345 Park Avenue South), which combines experimental and computational multiomics in investigations of the environmental and cell-intrinsic sources of mutations in cancer, aging and age-related diseases, the related disease mechanisms and in developing new strategies for prevention, screening and therapeutic intervention.
Main responsibilities include development, execution and maintenance of the bioinformatics pipelines, including but not limited to creative and effective workflows for analyses of the next-generation sequencing and large-scale datasets (WGS, WES, RNAseq, ATACseq; spatial transcriptomics); development and maintenance of the optimal computational infrastructure for laboratorys data storage, processing and sharing; data analysis and systems support.
The successful candidate will benefit from becoming key computational personnel in the growing and dynamic research team in a state-of-the-art facility and from the ability to contribute multiple research projects under direct supervision and receive commensurate academic credit for these efforts, including authorship on publications, ability to present to various audiences and exposure to experts across disciplines.
Knowledge of cancer biology and understanding of key and complex concepts in cancer genomics; and 3+ years of experience working with next-generation DNA sequencing datasets are required
The candidate is expected to work largely independently, with regularly scheduled meetings with the Principal Investigator.
Job Responsibilities:
Development and maintenance of the laboratory’s analytical and computational infrastructure: Development, execution and maintenance of the bioinformatics pipelines, including but not limited to pipelines for quality-control and analyses of the next-generation sequencing datasets. Development and maintenance of the effective computational infrastructure for laboratory’s data storage, processing and sharing using optimal capabilities, such as internal servers and HPC, Google Cloud, Google Drive, Terra.
Dataset curation, visualization, maintenance: Design and implementation of the systems for curation, annotation, visualisation, maintenance of various large-scale and next-generation sequencing datasets.
Data analysis: Analyses of the various datasets in an independent fashion, using bioinformatics pipelines or custom analyses tailored to individual projects. Works directly or indirectly with lab users to quality-assess and analyze relevant data and address scientific problems with bioinformatics techniques and tools. Presents and summarizes results of the analyses to the team members. Reviews the data with the team and explains the background and the analysis process.
Systems support: Provides systems support to the Petljak lab. Performs first level troubleshooting of database and software-related problems, including contacting the Help Desk, software vendors, etc. for more complex issues.
Professional development: Attends seminars, lectures and training courses to learn new computational biology skills and to remain up to date with the cancer genomics field. Learns new programming languages or techniques as necessary, as well as new data analysis software.
Other responsibilities related to laboratory’s computational and analytical needs as required.
Minimum Qualifications:
To qualify you must have a Ph.D. or M.Sc. in Bioinformatics, System Biology, Computer Science or related field
Knowledge of cancer biology and understanding of key and complex concepts in cancer genomics.
3+ years of experience with DNA sequencing data
Ability to work independently while collaborating and assisting the team in its common research goals
Attention to detail and ability to work on multiple projects is necessary
Expertise in Unix/Linux systems including HPC environments
Scripting languages: R and Python .
Experience in creating customized bioinformatical pipelines
Excellent communication skills with proficiency in written and oral English
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you’ll feel good about devoting your time and your talents.
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 . Please to view the Federal "EEO is the law" poster or visit for more information.
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 $76,721.84 – $(phone number removed) 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.
To view the Pay Transparency Notice, please