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Data Scientist AI Solutions Job Opening In Chicago – Now Hiring Rush University Medical Center


Job description

**Job Description**

Location: Chicago, Illinois

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Research Computing

**Work Type:** Full Time (Total FTE between 0.9 and 1.0) Remote

**Shift:** Shift 1

**Work Schedule:** 8 Hr (8:00:00 AM - 5:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

**Pay Range:** $38.07 - $56.73 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data.

The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position.

Offers may vary depending on the circumstances of each case.

**Summary:**
This role plays a key part in designing, deploying, and managing AI-driven solutions that transform complex data into actionable insights—enhancing decision-making, operational efficiency, and clinical outcomes.
We are seeking a highly skilled and innovative Data Scientist to join our team This role is responsible for transforming complex data into actionable insights that support strategic, operational, and clinical decision-making.

The ideal candidate will have a strong foundation in data science, machine learning, and data visualization, with a proven ability to collaborate across multidisciplinary teams.

**Other information:**
Required Qualifications
• Bachelors degree in Data Science, Computer Science, Engineering, Biomedical Informatics, or a related field
• Proficiency in Python for data analysis, machine learning, and automation.
• Minimum of 2–3 years of experience delivering analytics or AI solutions with measurable impact
• Strong communication skills with the ability to translate complex data into clear, actionable insights.
Preferred Qualifications
• Experience with cloud-based AI platforms such as Microsoft Azure AI Foundry.
• Proficiency in data visualization tools such as Microsoft Power BI.
• Familiarity with modern analytics platforms (e.g., Microsoft Fabric).
• Experience working with electronic health records (EHR) systems such as Epic.
• Knowledge of R for statistical modeling and healthcare analytics.
• Exposure to agentic AI architectures (e.g., LLM-based agents, Semantic Kernel, LangChain).
• Relevant certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate).
Core Competencies
• Analytical thinking and problem-solving
• Technical proficiency in data science tools and platforms
• Effective communication and storytelling with data
• Collaboration and stakeholder engagement
• Ethical and compliant use of data and AI technologies

**Responsibilities:**
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Build and maintain data pipelines and analytics workflows, ensuring scalability and performance.
• Develop dashboards, reports, and visualizations to communicate findings to technical and non-technical stakeholders.
• Collaborate with cross-functional teams to integrate AI solutions into operational and decision-making processes.
• Conduct ROI analyses and establish KPIs to measure the impact of analytics
• Ensure compliance with data governance, privacy regulations, and ethical practices.
• Provide training and documentation to support the adoption and understanding of analytics tools and models.
• Participate in the lifecycle management of analytical models, including monitoring, retraining, and performance evaluation.

Rush is an equal opportunity employer.

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

**Position** Data Scientist AI Solutions

**Location** US:IL:Chicago

**Req ID** 21034

Required Skill Profession

Other General


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Rush University Medical Center adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Data Scientist AI Solutions Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Chicago. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data Scientist AI Solutions typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist AI Solutions Job Success

Rush University Medical Center interview tips for Data Scientist AI Solutions

Here are some tips to help you prepare for and ace your Data Scientist AI Solutions job interview:

Before the Interview:

Research: Learn about the Rush University Medical Center's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Data Scientist AI Solutions interview at Rush University Medical Center, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Rush University Medical Center's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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