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Research Data Scientist III - Digestive Disease & Surgery Institute; DDSI

Job in Cleveland, Cuyahoga County, Ohio, 44101, USA
Listing for: Y-Axis
Full Time position
Listed on 2026-03-01
Job specializations:
  • Software Development
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Research Data Scientist III - Digestive Disease & Surgery Institute (DDSI)

Job Title

Research Data Scientist III - Digestive Disease & Surgery Institute (DDSI) at Cleveland Clinic

Location

United States - Full Time

Start Date

Immediate

Job Summary

The Cleveland Clinic’s Research and Innovation and Education Institute is a core component of the institution’s mission, focused on advancing medical knowledge and patient care through research, education, and translating scientific discoveries into practical applications. As a Research Data Scientist III, you will apply advanced statistical, mathematical and machine learning techniques to develop algorithms and conduct complex data analyses, collaborate closely with the research team, and provide leadership by training, mentoring and guiding team members.

Responsibilities
  • Utilize methods in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) and Natural Language Processing (NLP) to design and implement data solutions.
  • Build complex predictive models, mixed models, attribution models, and other mathematical or statistical models as required, using appropriate modeling tools.
  • Develop novel algorithms and high-level data analyses that integrate implementation, visualization and database management of multi‑dimensional clinical or biological datasets.
  • Serve as a team lead to the Principal Investigator, providing training, mentoring and instruction to other lab members on tools and data analysis techniques.
  • Communicate and present research findings to the Principal Investigator, the broader research community and professional forums.
  • Pull, clean and manage data from multiple sources and databases to support ongoing research and machine‑learning initiatives.
  • Collaborate closely with Dr. Li’s team and the Data Lab to process research data, including projects on cancer diagnostics and other clinical studies.
  • Contribute to both research and innovative projects, such as building platforms that streamline clinical workflows (e.g., reading and summarizing faxes in EPIC).
  • Support machine‑learning models that continuously ingest data to improve predictive accuracy and algorithm performance.
  • Work collaboratively in a team‑oriented environment, contributing to the growth and success of DDI Research initiatives.
Minimum Qualifications
  • Bachelor’s Degree in Statistics, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field and six years of related experience, OR a Master’s degree may offset 2 years of experience, OR a PhD may offset 3 years of experience.
  • Highly proficient in programming languages such as SAS, SQL, SPSS, R, Python, MATLAB or similar.
  • Excellent communication and presentation skills.
Preferred Qualifications
  • Project Management skills.
  • Experience in machine learning and data analytics.
  • Healthcare or clinical background.
  • Experience with Python and/or R.
Physical Requirements

Ability to perform work in a stationary position for extended periods; ability to operate a computer and other office equipment; ability to communicate and exchange accurate information; ability to travel throughout the hospital system.

Equal Employment Opportunity

The policy of Cleveland Clinic Health System and its system hospitals is to provide equal opportunity to all of our caregivers and applicants for employment in our drug‑free environment. All offers of employment are followed by testing for controlled substances. Decisions concerning employment, transfers and promotions are made on the basis of the best qualified candidate without regard to color, race, religion, national origin, age, sex, sexual orientation, marital status, ancestry, status as a disabled or Vietnam era veteran or any other characteristic protected by law.

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