Bioinformatics Analyst
NYU Langone Health
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Job Description
About NYU Grossman School of Medicine
NYU Grossman School of Medicine is a top-ranked medical institution committed to advancing medical education, scientific research, and direct patient care for 175 years. As an integral part of NYU Langone Health, the school fosters equity, inclusion, and a thriving environment for talented faculty, staff, and students of all identities. We embrace diverse skills, ideas, and knowledge to improve the human condition.
For more information, visit med.nyu.edu and connect with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, and Instagram.
Position Summary
We are seeking a highly motivated Bioinformatics Analyst to join the Center for Human Genetics & Genomics at the NYU Grossman School of Medicine. This individual will play a crucial role in human genetic and genomic analysis, contributing to groundbreaking research.
Job Responsibilities
- Initiates, interprets, organizes, executes, and coordinates research assignments critical to the project's mission.
- Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.
- Ensures timely and accurate completion of research projects.
- May be responsible for research/lab quality control and compliance.
- May develop protocols for the collection and quality of research data.
- Develops research techniques and methodologies.
- May coordinate the activity and experimental design between various labs, scientific staff, and collaborators.
- Identifies and resolves technical problems.
- Performs human genetic and genomic analysis, including the design of family-based and population-based genetic studies.
- Conducts genome-wide association studies (GWAS).
- Performs whole exome and whole genome sequence analysis and interpretation.
- Provides instruction on the use of relevant human genetics databases.
- Performs other duties as assigned.
Minimum Qualifications
- Bachelor's degree in mathematics, biological sciences, computer science, or related disciplines.
- Experience in Unix/Linux systems, including HPC environments.
- Proficiency in scripting languages: Python or Perl.
- Experience with statistical packages: R (preferred) or Matlab.
- Excellent communication skills with proficiency in written and oral English.
- Demonstrated capability in computational collaboration and communication.
- A Master's degree and experience in bioinformatics, population genetics, and human disease analysis are highly desired for this role.
Benefits and Culture
NYU Grossman School of Medicine offers a comprehensive benefits and wellness package designed to support our workforce and their loved ones through every stage of life. Our offerings include financial security benefits, a generous time-off program, employee resource groups, and a holistic employee wellness program focusing on physical, mental, nutritional, sleep, social, financial, and preventive care. Join us to experience extensive resources and services that enhance your overall quality of life.
NYU Grossman School of Medicine is an equal opportunity employer committed to inclusion. All qualified individuals are encouraged to apply.
Key skills/competency
- Bioinformatics
- Human Genetics
- Genomics
- GWAS
- Sequence Analysis
- Population Genetics
- Unix/Linux
- Python
- R Programming
- Research Design
How to Get Hired at NYU Langone Health
- Research NYU Langone Health's mission: Study their commitment to medical education, scientific research, and patient care on med.nyu.edu.
- Tailor your Bioinformatics Analyst resume: Highlight specific experience in human genetics, genomics, GWAS, and computational tools like Python, R, and Unix.
- Demonstrate computational collaboration skills: Prepare examples of teamwork and effective communication in bioinformatics projects and research settings.
- Showcase database proficiency: Emphasize your ability to navigate, utilize, and instruct on human genetics databases.
- Prepare for technical and behavioral interviews: Practice discussing complex genetic analysis projects, problem-solving approaches, and your contributions to research.
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