Data Scientist Intern - Digital and Technology Partners - Hybrid
Data Scientist Intern - Digital and Technology Partners - Hybrid
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$ 16 - 30
1 Vacancy
Job Description
The Data Scientist Intern will support the AI Assurance Team in validating and monitoring AI applicationsboth Generative and Non-Generativewithin the Mount Sinai Health System. This role offers hands-on experience in machine learning operations (MLOps) AI governance and the deployment of AI models in real-world clinical environments.
The intern will collaborate with data scientists product managers clinicians and engineers to learn and contribute to the safe ethical and efficient deployment of AI products.
Responsibilities
General Data Science & MLOps
- Develop and test Data Curation Models under supervision of MLOPs Scientist
- Develop and Test Performance evaluation Modules for genAI and non-genAI Applications
- Participate in testing machine learning applications and preparing documentation
- Collaborate with team members in quality assurance and product deployment activities
AI Product Validation & Governance
- Assist in the validation process of AI products to ensure they meet ethical regulatory and clinical standards.
- Help implement basic testing workflows to assess model fairness robustness and performance.
- Contribute to monitoring efforts including develop and deploy monitoring and notification system to detect drift and performance degradation
Communication & Documentation
- Help maintain organized documentation of processes test results and governance protocols.
- Participate in team discussions and support the creation of presentations or reports for various stakeholders.
- Communicate findings in a clear and structured format to both technical and non-technical team members.
Qualifications
- High School Diploma or GED required; Associates or greater depending on department and role.
- None though some administrative exposure is a plus
Strongly preferred requirements for this specific position:
- Masters degree or PhD in in a quantitative discipline (e.g. Computer Science Data Science Statistics Bioinformatics or a related field)
- Exposure to at least one programming language among Scala Python Java C or C
- Basic knowledge of database languages (e.g. SQL NoSQL).
- Familiarity with cloud computing platforms (e.g. AWS Azure GCP)
- Deep conceptual understanding of machine learning and deep learning principles
- Experience with version control tools (e.g. Git).
- Excellent written and verbal communication skills
- Strong problem-solving skills and ability to work in cross-functional teams
Other skills preferred not required:
- Experience with containerization tools (Docker) and CD/CI tools in Microsoft Azure
- Familiarity with model tracking tools (e.g. MLflow)
Learning Outcomes
By the end of the internship the intern will gain:
- Real-world exposure to the lifecycle of clinical AI products development and deployment
- Problem-solving skills and practical skills in MLOps validation frameworks and healthcare compliance
- Experience working with cross-functional teams in a mission-driven healthcare environment.
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 $16.50 - $30.00 Hourly. 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.
271 - DTP Clinical Data Science - MSH Mount Sinai Hospital
Required Experience:
Intern
Employment Type
Full-Time
