Associate Computational Biologist (Single Cell) - Center for Disease Neurogenomics

Strength Through Diversity

Groundbreaking science. Advancing medicine. Healing made personal.

Roles & Responsibilities:

The Center for Disease Neurogenomics at Icahn School of Medicine at Mount Sinai is seeking a highly motivated Associate Computational Biologist to work in the fields of Single Cell Neurogenomics. 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 single-cell methods as well as develop new methods for the multi-scale single-cell transcriptome and epigenome analysis.

This position has the opportunity on developing or enhancing skills in single-cell genomics, machine learning, 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 an engaging, flexible research environment to advance your career: freedom to pursue your interests, interaction across disciplines, and a competitive salary.

The candidate should have a strong background and experience in one or more of the following areas: single-cell genomics, machine learning, 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:

• Analyze large-scale single-cell data using established pipelines.
• Benchmark new single-cell methods and integrate them into the pipeline.
• Develop new single-cell methods for areas lacking support of existing tools.
• Collaborate with researchers in the world through international consortiums
• Participate in the preparation of manuscripts, grants, and presentations.

Requirements:

• M.S. in Bioinformatics, Computer Sciences, Statistics, or related discipline
• 2 years of experience in single-cell data analysis -OR- Ph.D. in a related field
• Advanced knowledge of either Python or R; a track record of software code version control (i.e., GitHub), or contribution to open-source software development is a plus
• Experience working in high-performance computing (HPC) environment
• Good work ethics, organization, and communication skills, with demonstrated ability to productively work as a member of a team
• Strong verbal and written communication skills in English

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!

Who We Are

Over 38,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve.

Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospital campuses, including Mount Sinai Beth Israel, Mount Sinai Beth Israel Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai St. Luke's, and New York Eye and Ear Infirmary of Mount Sinai.

The Mount Sinai Health System is an equal opportunity employer. We promote recognition and respect for individual and cultural differences, and we work to make our employees feel valued and appreciated, whatever their race, gender, background, or sexual orientation.

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