Research Data Scientist I - Cole Eye

ccf

United States

On-site

USD 90,000 - 120,000

Full time

3 days ago

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Job summary

Cleveland Clinic Health System in Cleveland is seeking a Research Data Scientist I focused on macular degeneration research. You will analyze complex datasets, develop predictive models, and contribute to data-driven decisions in imaging and genetics.

You will apply programming languages such as SAS, SQL, SPSS, R, Python, MATLAB or similar to perform analytics, generate insights, and support data-driven decision-making. Collaboration with Data and Analytics and Innovation teams is essential.

Qualifications

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 programming languages such as SAS, SQL, SPSS, R, Python, MATLAB or similar

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.

Skills

Statistics

Data analytics

Programming

Machine learning

Education

Bachelor's degree in Statistics, Economics, Mathematics, Physics, Computer Science, Engineering or related field

Master's or PhD degree

Tools

SAS

SQL

SPSS

Python

MATLAB

Job description

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 I - Cole Eye

Location

Cleveland

Facility

Cleveland Clinic Main Campus

Department

Cole Eye Research-Main Campus Hospital

Job Code

T99919

Shift

Days

Schedule

7:30am-4:00am

Job Summary

Job Details

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.

A caregiver who excels in this role will:

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.

Minimum qualifications for the ideal future caregiver include:

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

Preferred qualifications for the ideal future caregiver include:

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

Physical Requirements: