Data Science Analyst I - Genetics (Pandey Lab)

Key Skills

Algorithms, Big Data Technology, Data science techniques, Design, Health and Safety, Large data sets, Project management

Job Description

A NIH-funded Data Science Analyst position is available in Prof. Gaurav Pandey’s (http://research.mssm.edu/gpandey/) lab at the Icahn School of Medicine at Mount Sinai in New York City. The overall project is the design and implementation of novel machine/deep learning algorithms to predict disease phenotypes from a variety and large amounts of clinical data, such as audio recordings, omic profiles, structured EHR data and clinical notes. The responsibilities include preparing robust implementation of these algorithms in a big data environment, especially large high-performance computing clusters. This work will be conducted in close collaboration with several prominent collaborators at Mount Sinai and beyond.

The Pandey lab focuses broadly on developing and applying computational methods to build network and predictive models of complex biological processes and diseases from large biomedical data sets. Lab members routinely analyze large biomedical data sets to build accurate models of biological processes and complex diseases, such as cancer, type-2 diabetes and Alzheimer's disease. Being positioned within a prominent medical center such as Mount Sinai makes it possible to bring the predictions and therapeutic discoveries from these models to patients' bedside, thus placing the lab in a unique position.

The selected candidates will be able to contribute to the ongoing projects in the lab, as well as define their own projects.

Requirements:

• Candidates should have a Masters or PhD-level degree in any computationally-oriented field
• Solid background in programming and computational techniques.
• Strong interest in participating in research in big data and computational biomedicine

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 professionally 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!

Who We Are

Over 42,000 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 hospitals, including Mount Sinai Beth Israel, Mount Sinai 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 (MSHS) provides equal employment opportunity to all its employees and applicants for employment without unlawful discrimination on the basis of their actual or perceived race, creed, color, religion, national origin, sex, gender, gender expression, gender identity, age, disability, marital or parental status, sexual orientation, veteran, immigration, citizenship, or other protected status.