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Cleveland Clinic

Research Data Scientist II

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in Location, WV
Mid level
In-Office or Remote
Hiring Remotely in Location, WV
Mid level
As a Research Data Scientist II, you will apply statistical and machine learning techniques, working with various programming languages and data to support data-driven decision-making in healthcare.
The summary above was generated by AI

                    

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 TitleResearch Data Scientist II

                        

LocationCleveland

                    

FacilityRemote Location

                     

DepartmentLRI Quantitative Health Sciences-Research Innov and Educ

                      

Job CodeT98855

                     

ShiftDays

                       

Schedule9:00am-5:30pm

                       

Job Summary

                         

Job Details

Join the Cleveland Clinic team, where you will work alongside passionate caregivers and provide patient-first healthcare. Cleveland Clinic is recognized as one of the top hospitals in the nation. At Cleveland Clinic, you will receive endless support and appreciation and build a rewarding career with one of the most respected healthcare organizations in the world.   

As a Research Data Scientist on our team, you will utilize statistical and machine learning techniques, along with high-performance data architectures and technologies, to build algorithms and perform advanced data analytics. In this role, you will apply programming skills in languages such as SAS, SQL, SPSS, R, Python, or similar tools to work effectively with relational databases and support data-driven decision-making across the organization.

A caregiver in this role works remotely from 9:00 a.m. – 5:30 p.m. Preference will be given to candidates who live in OH, FL, or NV.

A caregiver who excels in this role will:  

  • Utilize statistical and machine learning techniques, high performance data architectures and technologies to build algorithms and perform data analytics. 

  • Utilize methods in the areas of Artificial Intelligence (AL), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) to design and implement data solutions. 

  • Document best practices and solution frameworks. 

  • Collaborate with team members to develop analytical techniques. 

  • Utilize programming skills in SAS, SQL, SPSS and R or Python to create and design new reports independently. 

  • Conduct in-depth data analysis to develop and test hypotheses. 

  • Provide guidance to other team members on building basic models. 

  • Communicate and present analytical findings to other investigators. 

  • Identify innovative technologies available for analytical areas. 

  • Interpret research protocols and run statistical analysis.

  • Develop and refine machine learning models to support research and data-driven insights.

  • Generate charts, graphs and other visualizations to clearly communicate analytical findings.

  • Assist with scientific publications by preparing data outputs, figures, and supporting documentation.

Minimum qualifications for the ideal future caregiver include:   

  • Bachelor’s degree in statistics, mathematics, computer science, engineering or a related field and four years of experience conducting data analytics, math or statistical modeling or machine learning

  • OR Master’s degree in a similar field and two years of required experience

  • OR PhD in a similar field

  • Highly proficient programing skills in languages such as SAS, SQL, SPSS, R, Python, or similar

Preferred qualifications for the ideal future caregiver include:  

  • Master’s degree in a similar field

  • PhD in a similar field

  • Advanced SQL query writing skills

  • Clinical knowledge

  • Experience in ML (Machine Learning) – AI (Artificial Intelligence)

  • EHR clinical data experience

  • Statistical modeling experience

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

  • In some locations, ability to move up to 15 pounds

Personal Protective Equipment:

  • Follows standard precautions using personal protective equipment.

                       

The policy of Cleveland Clinic Health System and its system hospitals (Cleveland Clinic Health System) 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.

Cleveland Clinic Health System administers an influenza prevention program. You will be required to comply with this program, which will include obtaining an influenza vaccination on an annual basis or obtaining an approved exemption.

Decisions concerning employment, transfers and promotions are made upon 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. Information provided on this application may be shared with any Cleveland Clinic Health System facility. 

If applying for a Florida position, please see the following website for more information on the background screening requirements required by the Agency of Health Care Administration: https://info.flclearinghouse.com/

Please review the Equal Employment Opportunity poster

                  

Cleveland Clinic is pleased to be an equal employment opportunity employer.

Top Skills

Python
R
SAS
Spss
SQL

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