Bioinformatics Analyst * Must have experience with whole genome sequencing analysis *
Job ID: 1137964_RR00100361
Facility: NYU Grossman School of Medicine (SOM)
Position Type: Full-Time/Regular
Shift: Day
Department: Hospital Administration, NYU Grossman School of MedicinePerlmutter CancerCtr-Research (S1468)
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.
Position Summary:
We have an exciting opportunity to join our team as a Bioinformatics Analyst. NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nations premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Imielinski Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research conducted in the Imielinski Lab and Perlmutter Cancer Center.
Job Responsibilities:
- Help our team realize the promise of whole genome oncology.
- Develop, optimize, and implement computational algorithms and software tools for the analysis of whole genome sequencing (WGS) and other high-throughput cancer genomics data.
- Work with the Perlmutter Cancer Center cancer genomics team to integrate and analyze diverse types of cancer genomics data, including short- and long-read sequencing, optical mapping, and single-cell sequencing.
- Adapt and enhance cancer genomics data analysis pipelines in a rapidly evolving research environment.
- Design, implement, and execute novel algorithms to support lab-centered and collaborative research projects in cancer genomics and cancer biology.
- Establish, maintain, and improve standardized pipelines for routine cancer genomics data analyses, ensuring efficiency, reproducibility, and scalability.
- Perform robust data quality control, validation, and benchmarking to ensure the accuracy and reliability of cancer genomics results.
- Develop expertise in cutting-edge sequencing technologies and computational approaches, particularly those related to WGS, 3D chromatin structure, structural variation analysis, and cancer mutation profiling.
- Collaborate closely with bench scientists to understand their research needs in cancer biology and translate them into computational solutions.
- Assist in preparing clear and concise presentations of computational results for internal and external stakeholders.
- Stay up to date with emerging computational and genomics methodologies, contributing to the innovation and advancement of cancer genomic data analysis.
- Other duties as assigned.
Minimum Qualifications:
To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines. Experience in Unix/Linux systems including HPC environments; Scripting languages: Python or Perl; Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English.
Preferred Qualifications:
- B.S./M.S. (3-4 year relevant experience, publications, or a PhD preferred) in computational biology, bioinformatics, mathematics, biological sciences, computer science, or a related discipline.
- Strong experience with whole genome sequencing (WGS) analysis, including variant calling, structural variation detection, and genome assembly, particularly in cancer genomics applications.
- Knowledge of cancer genomics and cancer biology, including key molecular mechanisms and pathways involved in cancer development and progression.
- Strong background in mathematics or other quantitative sciences, including linear algebra, physics, algorithms, statistics, and/or machine learning preferred.
- Proficiency in Unix/Linux environments, including experience with high-performance computing (HPC) systems.
- Strong programming skill in R preferred. Strong programming skills in scripting languages such as Python.
- Familiarity with modern bioinformatics tools, databases, and frameworks for cancer genome analysis.
- Demonstrated ability to develop and optimize computational algorithms and software pipelines for cancer genomics applications.
- Experience with data visualization and presentation of cancer genomics results.
- Excellent problem-solving skills and ability to work independently and collaboratively in a multidisciplinary team.
- Enthusiasm, energy, and ambition in tackling tough problems and overcoming obstacles.
- Strong 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 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 state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 – $71,000.00 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.
To view the Pay Transparency Notice, please click here
Salaries shown on independent jobs related websites reflect market averages and do not represent information obtained directly from NYU Langone. We invite and encourage each candidate to discuss salary/hourly specifics during the application and hiring process.
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