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Roles & Responsibilities:
The Center for Disease Neurogenomics at Icahn School of Medicine at Mount Sinai is seeking a highly motivated Computational Biologist to work in the field of Machine Learning. The post will suit an ambitious and talented individual who is interested in applying his/her skills at the interface of human disease and genetics. The candidate is expected to apply existing machine learning methods and develop new methods and software tools for the multi-scale single-cell transcriptome and epigenome analysis.
The successful candidate will work in a small focus group interested in developing ML algorithms to understand the genetic architecture and etiopathogenesis of Alzheimer's disease, through the lens of multi-scale single-cell profiles of brain transcriptome and regulome affected with Alzheimer's disease. The candidate is expected to develop new computational methods for the multi-scale modeling of single-cell transcriptome and regulome as well as apply state-of-the-art computational tools to omics data analysis and integration. Depending on the candidate’s interests and backgrounds, specific projects may include but are not limited to studies of human brain immune cells on AD biology, neuropsychiatric disorders, deep manifold learning of disease progression, large-scale integration of multi-omic single-cell profiles, and any other open questions in single-cell brain omics.
This position has the opportunity on developing or enhancing skills in machine learning, single-cell genomics, and big data analytics. The appointed researcher will be embedded in an interdisciplinary team of clinicians, wet lab scientists, bioinformaticians, statistical geneticists, and computational biologists. We will provide you with an engaging, flexible research environment to advance your career: freedom to pursue your interests, interaction across disciplines, and a competitive salary.
The candidate should also have a strong background and experience in machine learning as well as one or more of the following areas: single-cell genomics, multi-variable statistics, open-source software development, or bioinformatics; strong programming skills using Python or R; effective communication skills; self-motivated and independent.
Roles & Responsibilities:
Requirements:
Strength Through Diversity
The Mount Sinai Health System believes that diversity is a driver for excellence. We share a common devotion to delivering exceptional patient care. Yet we’re as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education and advancement as we revolutionize medicine together.
We work hard to acquire and retain the best people, and to create a welcoming, nurturing work environment where you can develop professionally. We share the belief that all employees, regardless of job title or expertise, can make an impact on quality patient care.
Explore more about this opportunity and how you can help us write a new chapter in our story!
EOE Minorities/Women/Disabled/Veterans
Compensation
The Mount Sinai Health System (MSHS) 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 $96,461.00 - $144,692.00 Annually. Actual salaries depend on a variety of factors, including experience, 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.
The Mount Sinai Health System is a hospital network in New York City. It was formed in September 2013 by merging the operations of Continuum Health Partners and the Mount Sinai Medical Center. The Health System includes more than 6,600 primary and specialty care physicians and 13 ambulatory surgical centers. It has ambulatory practices throughout the five boroughs of New York City, Westchester County, and Long Island, along with more than 30 aff
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