Data Scientist I – Clinical Data Science – Digital and Technology Partners – Onsite/Hybrid in New York, New York

Job Description

Data Scientist I – Clinical Data Science – Digital and Technology Partners – Onsite/Hybrid – Req#3024806

Location: 150 E 42nd Street location. Prefer candidates that reside in tri-state area NY, NJ, CT or a commutable distance to meet onsite/hybrid requirements for this position.

Data Scientist I will play a key role in Machine Learning Operations (MLOps), supporting the AI Assurance Team, responsible for validating and monitoring all AI products (both Generative AI and Non-Generative AI) that have been or will be deployed in the Mount Sinai Health System (MSHS) production environment. This role ensures that AI solutions meet governance, compliance, performance, and safety standards before and after clinical implementation.

This role will work closely with AI governance committee, product owners, DevOps engineers, Epic technical team, and clinicians to establish best practices in AI product deployment, validation, and monitoring. They will focus on ensuring AI models operate reliably, efficiently, and ethically within clinical workflows.

Qualifications

• Master’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Information Technology, Mathematics, Physics) or equivalent practical experience.

• 2 years of work experience in data science, software engineering, or data analysis

• Proficiency in at least one programming language among Scala, Python, Java, C, or C++.

• Proficiency in database languages (e.g., SQL, NoSQL)

• Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP)

• Familiarity with ML lifecycle management tools (e.g., MLflow, Kubeflow, Airflow)

• Experience with monitoring tools for AI model tracking

• Understanding of DevOps principles, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes)

• Experience with version control systems (e.g., Git)

• Knowledge of big data technologies (e.g., Hadoop, Spark)

• Strong problem-solving skills and ability to work in cross-functional teams

Promotion Criteria

• Takes ownership of AI validation and monitoring processes , ensuring all AI products are governed and compliant

• Leads technical enhancements for AI product validation pipelines and deployment reliability

• Develops improved model tracking dashboards and governance workflows

• Mentors junior team members and contributes to AI product governance strategy

Compensation Statement

The Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for this role is $109,000.00 – $163,695.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

, 271 – DTP Clinical Data Science – MSH, Mount Sinai Hospital

Responsibilities

1. General ML Scientist responsibilities

2. Data Curation: Collect, clean, and curate large and complex data sets from various sources to ensure it is suitable for machine learning tasks

3. Product Development: Assist in the design, development, and training of machine learning application to solve specific optimization problems

4. Model Evaluation: Assist in evaluating model performance and iteratively refine models based on feedback

5. Deployment: Collaborate with the engineering team to execute appropriate QA process and deploy machine learning models into production environments

6. AI Product Validation & Governance

7. Validation of AI products (both Generative AI and Non-Generative AI) to ensure they meet governance and compliance standards before deployment in the MSHS production environment.

8. Develop and implement testing frameworks to assess product accuracy, robustness, and fairness .

9. Collaborate with primary developers and engineers to ensure products adhere to ethical guidelines, patient safety requirements, and regulatory standards .

10. Ensure products maintain expected performance in clinical settings by tracking model drift, bias, and data integrity issues

11. Stakeholder Communication & Documentation

12. Communicate validation results and AI product performance insights to product owners, primary developers, engineers, clinical leaders, and AI governance committee members

13. Maintain detailed documentation of AI assurance protocols, product evaluation procedures, and compliance measures

14. Assist in drafting AI assurance reports and present the findings for leadership and AI governance committee

15. Present high-level information to a diverse group of stakeholders

16. Research: Stay up to date with the latest advancements in machine learning and AI to suggest improvements and innovative solutions

17. Documentation: Maintain clear and organized documentation of data, models, and processes

18. Effectively communicates statistical and technical ideas and results to non-technical stakeholders in written and verbal form to ensure decision points and their impact are clearly understood by all audiences

19. Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.

About Us

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.

Compensation Statement

Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $109000 – $163695 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.