Research Data Scientist II

Cleveland Clinic

3d•Remote

About The Position

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 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.

Requirements

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

Nice To Haves

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

Responsibilities

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.