Research Data Scientist II - Rotroff Lab

Cleveland Clinic

1d•Onsite

About The Position

The Research Data Scientist II will join the Rotroff Lab at Cleveland Clinic’s Main Campus. The lab uses computational and experimental approaches—including genomic data, -omics technologies, and electronic health records—to advance precision medicine research. Its research focuses on identifying disease risk factors, improving treatment response predictions, and developing screening tools for conditions such as type 2 diabetes, chemotherapy-induced nausea and vomiting, and liver disease. In this role, the caregiver applies statistical and machine learning techniques and high-performance data architectures and technologies to build algorithms and perform advanced data analytics. They use programming languages such as SAS, SQL, SPSS, R, Python, or similar tools to work with relational databases and support data-driven decision-making. The role also involves developing and implementing data solutions using AI, machine learning, deep learning, and natural language processing methods, communicating findings to investigators, and providing guidance to team members. The position works days, with a stated schedule of 8:00 a.m. to 5:00 p.m. Caregivers must follow standard precautions using personal protective equipment. Employment offers are followed by controlled-substance testing, and caregivers must comply with the annual influenza vaccination program or obtain an approved exemption.

Requirements

Bachelor’s degree in statistics, mathematics, computer science, engineering, or a related field and four years of experience conducting data analytics, mathematical or statistical modeling, or machine learning; OR a master’s degree in a similar field and two years of required experience; OR a PhD in a similar field.
Highly proficient programming skills in SAS, SQL, SPSS, R, Python, or similar languages.

Nice To Haves

Master’s degree in a similar field; may substitute for two years of required experience.
PhD in a similar field; may substitute for the experience requirement.
Experience working with large datasets within an electronic health record (EHR) system.

Responsibilities

Use statistical and machine learning techniques, high-performance data architectures, and technologies to build algorithms and perform data analytics.
Use artificial intelligence, machine learning, deep learning, and natural language processing methods to design and implement data solutions.
Document best practices and solution frameworks.
Collaborate with team members to develop analytical techniques.
Use programming skills in SAS, SQL, SPSS, R, Python, or similar tools 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.
Perform other duties as assigned.