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

                    

At Cleveland Clinic Health System, we believe in a better future for healthcare. And each of us is responsible for honoring our commitment to excellence, pushing the boundaries and transforming the patient experience, every day.

                        

We all have the power to help, heal and change lives — beginning with our own. That’s the power of the Cleveland Clinic Health System team, and The Power of Every One.

                                    

Job Title

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

                        

Location

Cleveland

                    

Facility

Cleveland Clinic Main Campus

                     

Department

Research Administration-Research Innov and Educ

                      

Job Code

T98854

                     

Shift

Days

                       

Schedule

8:00am-5:00pm

                       

Job Summary

                         

Job Details

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. This institute includes various centers and programs such as the Lerner Research Institute, Cleveland Clinic Innovations, and the Education Institute, all working together to improve healthcare outcomes. Here, you will work alongside passionate and dedicated caregivers, receive endless support and appreciation and build a rewarding career. 

As a Research Data Scientist III, you will apply advanced statistical, mathematical and machine learning techniques to develop algorithms and conduct complex data analyses. You will collaborate closely with the research team, serve alongside the Data Lab, and contribute to the growth of DDI Research. In this role, you will provide leadership by training, mentoring and guiding team members, while also supporting the advancement of NCI trials and other research initiatives.

A caregiver in this position works days from 8:00 a.m. — 5:00 p.m.  

A caregiver who excels in this role will:  

• 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 for the ideal future caregiver include:  

• Bachelor’s Degree in Statistician, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field and six years of related experience, working with statistical modeling, machine learning or complex data analysis

• OR Master’s degree in related field may offset 2 years of experience

• OR PhD in related field may offset 3 years of experience

• Highly proficient in programming skills in languages such as SAS, SQL, SPSS, R, Python,