Bioinformatician II -Panos Roussos and Center for Disease Neurogenomics (CDN)

Key Skills

Big Data Technology, Bioinformatics, Biomedical Imaging, C++, Environmental, Genomic data, Kaggle Community Manager, Large data sets, MATLAB Programming, Perl Programming, Python Programming, R Programming, Statistics

Job Description

Roles & Responsibilities: 

The Roussos lab at the Center for Disease Neurogenomics at the Icahn School of Medicine at Mount Sinai is actively seeking a highly motivated Bioinformatician II Research Scientist to join our team. We are focused on the fields of single-cell brain genomics, machine learning, and neurodegenerative disorders. This position offers an exciting opportunity for an ambitious and talented individual who is passionate about applying their skills at the intersection of human disease and genetics. As a successful candidate, you will be part of a dedicated focus group working on the development of machine learning algorithms to unravel the genetic architecture and etiopathogenesis of Alzheimer’s disease(AD). Our research involves utilizing multi-scale single-cell profiles of brain transcriptome and regulome affected by Alzheimer disease. In this role, you will have the opportunity to develop novel computational methods for modeling single-cell transcriptome and regulome at different scales, as well as apply state-of-the-art computational tools for omics data analysis and integration. Potential projects may include investigating the impact of human brain immune cells on AD biology, studying neuropsychiatric disorders, deep manifold learning of disease progression, large-scale integration of multi-omic single-cell profiles, and exploring other open questions in single-cell brain omics. This position offers a chance to develop or enhance your skills in single-cell genomics, machine learning, and big data analytics. You will be working alongside an interdisciplinary team consisting of clinicians, wet lab scientists, bioinformaticians, statistical geneticists, and computational biologists. We provide a stimulating and flexible research environment that promotes career advancement, offering the freedom to pursue your interests, fostering interdisciplinary collaboration, and providing an excellent salary. The ideal candidate should hold a Ph.D. in bioinformatics, computational biology, statistics, mathematics, biophysics, biochemistry, immunology, computer science, or a related field. Strong proficiency and experience in one or more of the following areas are essential: single-cell genomics, machine learning, multi-variable statistics, open-source software development, or bioinformatics. Additionally, excellent programming skills using Python or R, effective communication skills, and a self-motivated and independent approach are highly desirable.

Responsibilities

• Potential projects may include investigating the impact of human brain immune cells on AD biology, studying neuropsychiatric disorders, deep manifold learning of disease progression, large-scale integration of multi-omic single-cell profiles, and exploring other open questions in single-cell brain omics. 
• This position offers a chance to develop or enhance your skills in single-cell genomics, machine learning, and big data analytics. 
• You will be working alongside an interdisciplinary team consisting of clinicians, wet lab scientists, bioinformaticians, statistical geneticists, and computational biologists. 
• We provide a stimulating and flexible research environment that promotes care

Qualifications

• M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered.
• 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets.
• Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++.

Compensation Statement

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 this role is $65,885.00 - $98,827.00 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.

Employer Description

Strength Through Diversity

The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. 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 invite you to participate actively as a part of the Mount Sinai Health System team by:

• Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
• Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
• Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.

We work hard to acquire and retain the best people and to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to professional advance. We share the belief that all employees, regardless of job title or expertise contribute to the patient experience and quality of patient care.

 Explore more about this opportunity and how you can help us write a new chapter in our history!