Research Data Scientist I - Cole Eye

Cleveland Clinic

9d•Onsite

About The Position

Join Cleveland Clinic’s Main Campus where research and surgery are advanced, technology is leading-edge, patient care is world class and caregivers are family. Here, you will work alongside a passionate and dedicated team, 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, you will utilize statistical, mathematical and predictive modeling techniques to analyze complex datasets and develop algorithms supporting macular degeneration research, including genetics and imaging. In this role, you will apply programming skills using tools such as SAS, SQL, SPSS, R, Python, MATLAB or similar languages to perform data analytics, generate insights and contribute to data-driven decision-making. You will organize, manage and analyze imaging data while providing substantial support to the Data and Analytics and Innovation teams through imaging algorithm development, machine learning and Databricks-related infrastructure and workflows. A caregiver in this role works days from 7:30 a.m. – 4:00 p.m.

Requirements

Bachelor's degree in Statistics, Economics, Mathematics, Physics, Computer Science, Engineering or related field and two years of experience conducting data analytics, math or statistical modeling or machine learning OR Master’s or PhD degree
Proficiency with programing skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB or similar

Nice To Haves

Familiar with software development, programming, and writing code
Familiar with programing languages including Python, Java, or C/C++
Knowledge applying advanced statistics to complex business problems required (e.g., modeling, AI, ML, Deep Learning [DL], and/or Natural Language Processing [NLP])
Strong business-orientation with the ability to select the appropriate complex quantitative methodologies in response to specific business goals
Healthcare or life science experience
Lead Experience with project management and change management methodologies
Certification or fellowship in analytics, big data, data science or related subject
Technology Partner Certification (in technology, Big Data, business or advanced analytics, data science) – Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, Python
Experience leveraging visualization software and techniques and business intelligence (BI) software
Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation & generation, to ETL, to the data warehouse itself

Responsibilities

Utilize basic statistical, mathematical, and predictive modeling techniques to build algorithms and perform data analytics.
Utilize programming skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB, or similar tools.
Perform basic data analysis including data validation, investigation, and hypothesis testing.
Assist Principal Investigator in transforming data to support research questions and develop basic predictive and statistical models using modeling tools.
Identify and implement process improvement opportunities to enhance efficiency in data extraction, reporting, programming, and operations.
Curate and process complex clinical and biological data sets.
Communicate and present research findings as needed.
Identify technical issues and manage resolution for analytics programs.
Interpret research protocols and translate them into analytical requirements.
Run statistical analyses and support machine learning model development.
Generate charts, graphs, and other data visualizations.
Assist with manuscript preparation and publication support.
Other duties as assigned.