Data Science Analyst I - Pulmonary

United States

Mount Sinai Health System

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The Data Science Analyst I with the Sleep and Circadian Analysis (SCAN) Group collaborates with PI’s within the SCAN group to develop sophisticated algorithms, analysis, provide information, insights and BI (Business Intelligence). This individual demonstrates sound understanding of the healthcare domain, technical data manipulation and analytic development skills and impact the patient community of the Mount Sinai Health System. 

•   Prepare and maintain batch scripts that automate lab processes and streamline workflow
•   Maintain and Organize sleep study database across studies within the SCAN group
•   Work on crawling and reviewing the literature to spot the latest methods that may be useful to apply Deep learning models to large and heterogeneous Sleep datasets.
•   Collaborate closely with Algorithms and Machine Learning team members and PI’s to push the boundaries of our current deep-learning models
•   Improve and design deep learning models to improve our algorithms on internal datasets
•   Ensure your models' implementations are easy to use, well-documented, and well-tested by following best practices (Unit test, documentation, CI, non-regression, …)
•   Write and review reusable, documented, tested code that produces polished, high quality analytical results for our partners and powers our core computational pipelines
•   Keep current codebase up to date.

  • BA or BS degree minimum, in Computer Science/Electrical Engineering/Math; Masters degree preferred.
  • 2 years minimum is preferred in analytics development expertise, preferably in health care, or for a health provider, health plan or accountable care organization, including either:
    •   Experience with Signal Processing
    •   Experience with Time Series Processing
    •   Experience with several programming languages (R, Python, C++)
    •   Experience with Image Processing
    •   PhD, MD or DO program may be substituted for experience.
  • Demonstrates the ability to assure compliance with regulatory, insurance and ethical standards regarding safety of patients, employees and property.  Identifies contingency plans for potential risks.
  • Strong data mining skills using tools like SQL, R, Python, SAS, Java/MapReduce, Aster, etc.
  • Strong analytical skills, with the ability to perform complex analysis and make recommendations based on statistical inferences. Experience with and an understanding of a wide variety of analytical or statistical methods.
  • Strong working knowledge of Business Intelligence products such as Tableau, Information Builders, Dimensional Insights, SAP/Business Objects, SAS, MicroStrategy, etc.
  • General understanding of ETL tools like SSIS, Data Stage, PowerCenter, etc.  
  • Advanced analytical, financial and technical skills needed to perform complex analysis and data modeling using sophisticated report writing and data management tools.
  • Ability to exercise critical thinking and logical reasoning, and understand the conceptual framework and database relationships underlying health care data.
  • Ability to think creatively; demonstrated excellent problem solving skills.
  • Excellent oral and writing skills characterized by the ability to communicate effectively with varying audiences.
  • Demonstrated ability to articulate goals, plan and implement processes to achieve those goals, recognize and assess the implications of confounding variables, anticipate consequences, and meet deadlines.
  • Advanced interpersonal (e.g., mediating, mentoring, teaching) skills required to service internal and external clients effectively, and manage relationships and activities that are diverse and complex.
  • Self-motivated and resourceful, with a demonstrated ability to think and work independently, and to exercise independent judgment in originating or developing complex techniques or programs in a complex and dynamic environment.
  • High level of integrity as demonstrated by 1) appropriate treatment of confidential or protected health information, 2) adherence to policies, procedures, rules, and regulations, 3) professional conduct in dealing with persons internal and external to the organization, and 4) sensitivity to populations served by the organization.
     

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!

“About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 43,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes approximately 7,400 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics and top 20 in Cardiology/Heart Surgery, Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 14 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.”

EOE Minorities/Women/Disabled/Veterans

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Business Intelligence Computer Science Data management Data Mining Deep Learning Engineering ETL Java Machine Learning Mathematics PhD Pipelines Python R Research SAS SQL SSIS Statistics Tableau Teaching

Perks/benefits: Career development Health care Insurance

Region: North America
Country: United States
Job stats:  29  11  0
Category: Analyst Jobs

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