Trainee Data Analytics Extern Jobs (NOW HIRING)

This is a hybrid/onsite position. Requires 2 days onsite a week.

Location: 150 E 42nd Street, New York, NY 

The Data Science Analyst II collaborates with stakeholders from across the organization to develop sophisticated analytics to provide information, insights and BI (Business Intelligence) solutions that contribute to sound strategic planning, decision-making, goal setting, and effective performance measurement. The Data Science Analyst II demonstrates sound and a more advanced understanding of the healthcare domain, technical data manipulation and analytic development skills and impact the patient community of the Mount Sinai Health System.

This position will work primarily on projects with the Clinical Command Center related to generating centralized, actional intelligence to enhance Health System operations.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next 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 48,000 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 more than 9,000 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, top 5 in Cardiology/Heart Surgery, and top 20 in 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. 11 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.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

• BA or BS degree minimum, in a relevant field of study; Masters degree preferred.
• 5 years minimum in analytics development expertise, preferably in health care, or for a health provider, health plan or accountable care organization, including either:
• Working knowledge of a health care EMR such as Epic/Clarity, aCW, etc.; a payor claims system such as Facets, Amisys, etc.; or a hospital/provider system such as IDX, Soarian, etc.
• Experience working in a health plan or consulting actuarial, financial reporting or medical economics departments highly valuable.
• Experience working in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, clinical or financial decision report

• PhD, MD or DO program may be substituted for three years of experience.

  General Skills and Competencies                                    
   

• 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 processing / transformation skills using tools like SQL, R, Python, PySpark, etc.
• Experience in JavaScript/TypeScript preferred.
• Exposure to Palantir Foundry platform preferred.
• Prior experience working in Agile teams a plus.
• Strong project or process management skills.  
• 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.
• General understanding of ETL/ELT tools like Azure ADF/Databricks, or similar tools.  
• Working knowledge of Business Intelligence products such as Tableau, PowerBI, etc a plus.
• Experience in LLM Prompt Engineering / AI assisted development a plus.
• 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.
   

Non-Bargaining Unit, 223 - DTP Enterprise Data & Analytics - MSH, Mount Sinai Hospital

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $87,692.00 - $131,538.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

• BA or BS degree minimum, in a relevant field of study; Masters degree preferred.
• 5 years minimum in analytics development expertise, preferably in health care, or for a health provider, health plan or accountable care organization, including either:
• Working knowledge of a health care EMR such as Epic/Clarity, aCW, etc.; a payor claims system such as Facets, Amisys, etc.; or a hospital/provider system such as IDX, Soarian, etc.
• Experience working in a health plan or consulting actuarial, financial reporting or medical economics departments highly valuable.
• Experience working in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, clinical or financial decision report

• PhD, MD or DO program may be substituted for three years of experience.

  General Skills and Competencies                                    
   

• 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 processing / transformation skills using tools like SQL, R, Python, PySpark, etc.
• Experience in JavaScript/TypeScript preferred.
• Exposure to Palantir Foundry platform preferred.
• Prior experience working in Agile teams a plus.
• Strong project or process management skills.  
• 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.
• General understanding of ETL/ELT tools like Azure ADF/Databricks, or similar tools.  
• Working knowledge of Business Intelligence products such as Tableau, PowerBI, etc a plus.
• Experience in LLM Prompt Engineering / AI assisted development a plus.
• 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.
   

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $87,692.00 - $131,538.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Non-Bargaining Unit, 223 - DTP Enterprise Data & Analytics - MSH, Mount Sinai Hospital

1. Analyzes data requests using information technology, enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative and other corporate data from both modeled and disparate internal and external sources.

• Works with departmental staff to identify requirements for reporting and / or business intelligence tools.
• Identifies necessary data, data sources and methodologies.
• Collects, organizes, integrates, analyzes and interprets data.
• Leverages advanced statistical analysis methods to create insightful recommendations and conclusions that may be communicated to the stakeholder.
• Identifies and addresses expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions.
• Works to improve data quality where possible within created analytical models. Feeds data quality issues back to IT or identified data stewards to facilitate creation of high quality metrics.
• Develops and may present reports, analyses and findings to senior management and others as scheduled or requested.

2. Responsible for one or more of the following stakeholder groups:

• Contracting and Commercialization May assist in the modeling and forecasting contract scenarios, measuring ongoing performance and identify trends in performance ...