Data Science Analyst I - Pulmonary

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 thri