NYU Grossman School of Medicine 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 NYU Langone Health, 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 med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.
We have an exciting opportunity to join our team as a Bioinformatics Programmer.
In this role, the successful candidate The Applied Bioinformatics Laboratories (ABL) and Tsirigos Lab (Precision Medicine) at the New York University Langone Health are searching for a Bioinformatics Programmer. NYU Langone Health is a world-class, patient-centered, integrated, academic medical center, and one of the nation's premier centers for excellence in clinical care, biomedical research and medical education.
The highly motivated, creative and passionate candidate will be responsible for conducting independent biomedical research under Dr. Tsirigos' mentorship, and must commit 2 years minimum. The candidate will have scientific and career development support, and access to all opportunities offered by NYU Langone Health.
The applicant must have have excellent verbal and written communication skills, maintain accurate and highly-organized data repositories and code notebooks, and work efficiently and collaboratively as part of a team. The successful candidate will be responsible for the analysis of various types of genomic, epigenomic and transcriptomic data, development and maintenance of computational pipelines. Excellent work will lead to publications and we will support you to present in national conferences. This is a great opportunity to quickly acquire high-in-demand bioinformatics skills, develop and publish new analysis tools/pipelines, analyze challenging datasets, and be a co-author on multiple peer-reviewed manuscripts.
- Cancer epigenetics and 3D chromatin organization
- AI deep learning methods to analyze Hi-C and HiChIP datasets
- Chromatin organization at single-cell resolution
Duties and Responsibilities
- Use existing bioinformatics pipelines to analyze patient and pre-clinical model data generated in the lab and downloaded from published datasets
- Perform different types of data analysis relating to the genomics-based approaches utilized by the lab
- Organize and maintain code notebooks to facilitate code reusability and study reproducibility
- Collaborate with other research staff in lab for common research goals
- Develop new methods for multi-omics data analysis and integration, and interpretation of results in context of disease pathology
- Prepare of figures and schematic diagrams for publication and presentations
- Write and edit manuscripts and grant proposals with PI
- Maintain confidentiality of all research information
- Professional development: attend seminars, lectures and training courses to acquire new skills and remain up to date; learn new tools and techniques as necessary
- Other duties as assigned
To qualify you must have a Highly motivated and productive individual with a M.Sc. in Bioinformatics, System Biology, Computer Science or related field. The position requires a minimum 2 year commitment.
Knowledge of biology and understanding of key biological concepts (genes, pathways, and/or stem cells)
Attention to detail and ability to work on multiple projects
Experience in Unix/Linux systems including high-performance computing environments
Strong programming skills in R and/or Python
Expert in sequencing data analysis, creating customized sequencing analysis pipelines
Expert in executing standard bioinformatics pipelines
Excellent communication skills with proficiency in written and oral English
Ability to work independently (e.g., find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results).
Ability to function in a multidisciplinary team including MD's and PhD's.
Ability to work under stress/deadlines
Knowledge of algorithms, data structures, machine learning, and statistics
Ph.D. in in Bioinformatics, System Biology, Computer Science or related field
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 click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm 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 $61,475.67 – $83,200.00 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.
To view the Pay Transparency Notice, please click here
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