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Data Science Internship Cpt Jobs in Rochester, NY

Interpret basic revenue cycle and financial data. Maintain databases and templates ensuring data ... Bachelor's degree in Accounting, Business, Finance, Healthcare Administration, Computer Science or ...

Interpret basic revenue cycle and financial data. Maintain databases and templates ensuring data ... Bachelor's degree in Accounting, Business, Finance, Healthcare Administration, Computer Science or ...

Interpret basic revenue cycle and financial data. Maintain databases and templates ensuring data ... Bachelor's degree in Accounting, Business, Finance, Healthcare Administration, Computer Science or ...

Internship, research, or project experience in the semiconductor or electronics industry ... Experience with data analysis tools such as Excel, JMP, Minitab * Understanding of reliability ...

Clinical Dietitian

Rochester, NY · On-site

$30 - $40.50/hr

... data, education, experience, qualifications, expertise of the individual, and internal equity ... Participate in the training of medical staff, dietetic interns and peers. Does so in a manner which ...

... data using appropriate statistical and scientific methods to assess process capability and ... Internship or co-op experience in a regulated environment is preferred. Knowledge, Skills, and ...

Showing results 21-40

Data Science Internship Cpt information

See Rochester, NY salary details

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$41

How much do data science internship cpt jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data science internship cpt in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What is the difference between Data Science Internship Cpt vs Data Analyst Internship Cpt?

AspectData Science Internship CptData Analyst Internship Cpt
Required CredentialsTypically requires coursework in statistics, programming, and data analysis; sometimes a related degreeSimilar requirements, often focusing on data analysis and visualization skills
Work EnvironmentInvolves data modeling, machine learning, and predictive analytics in tech or finance sectorsFocuses on data cleaning, reporting, and visualization in various industries
Employer & Industry UsageUsed by tech companies, finance, and consulting firms for data-driven projectsCommon across multiple industries including marketing, healthcare, and retail

While both internships involve working with data, Data Science Internship Cpt emphasizes machine learning and predictive modeling, whereas Data Analyst Internship Cpt focuses on data visualization and reporting. Both roles require similar foundational skills but differ in their technical depth and application areas.

What types of projects and collaboration opportunities can I expect during a Data Science Internship CPT?

During a Data Science Internship CPT, you can expect to work on real-world data projects such as data cleaning, exploratory analysis, model development, and visualization tasks. Interns often collaborate closely with data scientists, engineers, and product managers, gaining exposure to cross-functional teamwork. You may also participate in meetings, present findings, and contribute to solving business challenges using data-driven approaches. This environment fosters both technical skill development and professional growth, providing valuable experience for future roles in the field.

What is a Data Science Internship CPT?

A Data Science Internship CPT (Curricular Practical Training) is a temporary work authorization for F-1 international students in the U.S., allowing them to gain practical experience in data science while enrolled in a degree program. The internship must be directly related to the student's major and typically offered through a cooperative agreement between the employer and the educational institution. CPT is usually part-time during the academic year and can be full-time during breaks, but using full-time CPT for 12 months or more may affect eligibility for Optional Practical Training (OPT).

What are the key skills and qualifications needed to thrive as a Data Science Internship CPT, and why are they important?

To thrive as a Data Science Internship CPT, you typically need foundational knowledge in statistics, programming (usually Python or R), and data analysis, often supported by ongoing studies in computer science or a related field. Familiarity with tools such as Jupyter Notebook, SQL databases, and machine learning libraries like scikit-learn or TensorFlow is highly valuable. Strong problem-solving skills, curiosity, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for contributing meaningfully to data-driven projects and learning effectively during the internship.
What cities near Rochester, NY are hiring for Data Science Internship Cpt jobs? Cities near Rochester, NY with the most Data Science Internship Cpt job openings:
Infographic showing various Data Science Internship Cpt job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,185 per year, or $22.2 per hour.

Rev Cycle Performance Analyst

RadNet

Fairport, NY • On-site

$60K/yr

Full-time

Re-posted 29 days ago


RadNet rating

6.6

Company rating: 6.6 out of 10

Based on 167 frontline employees who took The Breakroom Quiz

572nd of 887 rated healthcare providers


Job description

Responsibilities
Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, we are Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of our success is its people with the commitment to a better healthcare experience. When you join us as a Revenue Cycle Performance Analyst, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators to achieve the best clinical outcomes.
Revenue Cycle Performance Analyst serves as industry expert while they identify best revenue cycle practices in RadNet client/partner locations. Reporting into our Performance Analytics Manager, this position will be part of a small, fast-paced team taking on analytically focused projects that improve our revenue cycle performance. This position will have a direct impact on the growth of the company and our ability to provide a better patient experience at a time in their healthcare journey when they need help most.
You Will:
  • Interpret basic revenue cycle and financial data. Maintain databases and templates ensuring data integrity through monitoring and auditing outputs.
  • Collect and assist in the analysis of qualitative/quantitative data reports extracted from various systems.
  • Incorporate results of statistical and qualitative analyses utilizing Microsoft Excel, Word, Access and Power Point.
  • Proactively analyze data to identify and resolve potential issues that could have an adverse effect on revenue cycle performance.
  • Apply concepts and tools of health care economics to enhance understanding of utilization, quality and performance patterns across health care networks.
  • Collaborate with management staff to provide rigorous analysis in support of RadNet revenue cycle operational objectives.
  • Prepare reports to evaluate and interpret data to monitor performance, identify trends and determine root causes of issues and makes updates to action plans created to remedy issues.
  • Develop financial and statistical reporting to use in analysis, tracking and trending of revenue cycle operation activities.

You Are:
  • Bachelor's degree in Accounting, Business, Finance, Healthcare Administration, Computer Science or an equivalent combination of education and work-related experience.
  • Effective at working both at a detailed data level and a strategic thinking level
  • Minimum 3 years' experience with medical claim business system software
  • Minimum 3 years Health insurer industry experience, with business knowledge of benefits, claim systems, and adjudication principles
  • Minimum 3 years of medical and/or benefit policies, provider contract and/or employer plan designs, professional and facility claim processing, and medical terminology and industry standard code sets (CPT-4, ICD-9-CM, ICD-10, etc
  • Minimum 3 years' experience managing multiple assignments, independently determine solutions, and anticipate/prevent potential problems
  • Minimum 3 years' experience in Microsoft Excel, and extensive use of data query logic
  • Expertise needed in EDI transaction exposure such as 270, 271 for healthcare benefits and eligibility, 276, 277 for claims status and 278 for transmitting health care service information, 837 for submitting claims, 835 for payments, 834 for benefit enrollment, and 820 for premium payments to insurance products,

To Ensure Success In This Role, You Must Have:
  • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors.
  • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.
  • Follows all local, state and federal laws concerning employment to include but not limited to: I-9, Harassment, EEOC, Civil rights and ADA.
  • Follows OSHA regulations, RadNet and site protocols, policies and procedures.

Pay Range: $60,000-$70,000 per year

What RadNet employees say

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Benefits

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About RadNet

Sourced by ZipRecruiter

At RadNet, we are Leading Radiology Forward. RadNet aligns innovative solutions to deliver high-quality, cost-effective consumer-focused healthcare. Backed by 40 years of experience and with over 10,000 employees and over 380 imaging centers in 9 states, we are positioned for the future of healthcare.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Los Angeles, CA, US

Year founded

1980

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