Research Data Scientist I/II - Quantitative Health Sciences

                    

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Job Title

Research Data Scientist I/II - Quantitative Health Sciences

                        

Location

Cleveland

                    

Facility

Remote Location

                     

Department

LRI Quantitative Health Sciences-Research Innov and Educ

                      

Job Code

T98855

                     

Shift

Days

                       

Schedule

9:00am-5:30pm

                       

Job Summary

                         

Job Details

Research Data Scientist I/II - Quantitative Health Sciences (QHS) 

Join Cleveland Clinic’s Lerner Research Institute and become a part of one of the most respected healthcare organizations in the world. Lerner Research Institute embodies Cleveland Clinic’s values of research, innovation, and education by conducting leading-edge research that improves the lives of patients today and in the future. Here, you will work alongside passionate and dedicated caregivers, receive endless support and appreciation, and build a rewarding career. 

Quantitative Health Sciences is a multidisciplinary group of biostatisticians, epidemiologists, outcomes researchers, database developers and programmers that conducts translational medical research to improve patient care. Our teams collaborate with clinical investigators on human-based study design and statistical analysis. 

A caregiver in this position works 9:00am – 5:30pm.  

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.

• Write advanced SQL queries to extra datasets

• Utilize programming skills in R or Python to create and design analyses/models 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 area. 

Minimum qualifications for the ideal future caregiver include:  

• Bachelor’s degree in statistics, mathematics, computer science, engineering or a related field. 

• Four years of experience conducting data analytics, math or statistical modeling or machine learning. 

• 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. This may substitute two years of required experience.  

• PhD in a similar field. This may substitute the experience requirement.  

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