Research Data Scientist III - Brain Research

Cleveland Clinic

2d • 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. A Data Scientist III in Brain Research is a senior, research-focused professional who applies advanced analytics, statistical modeling, and machine learning to support neuroscience studies and clinical discovery. In close partnership with Principal Investigators (PIs), this role designs and executes research initiatives using multimodal neuroimaging data—including MRI, fMRI, and DTI—to examine structural and functional changes across the brain. Key responsibilities include developing Python-based computational workflows for data preprocessing, analysis, and modeling; testing and validating hypotheses across specific brain regions; and translating complex analytical results into clear, actionable insights for research and publication. The role also involves collaborating with cross-functional teams to design and build data-driven software systems, such as analytics platforms, data pipelines, and machine learning–enabled applications. This position plays a critical role in advancing disease-focused research including Alzheimer’s disease, stroke, and epilepsy by uncovering patterns in brain data that inform diagnosis, disease progression, and treatment strategies. Additionally, the Data Scientist III develops new software, data models, and proof-of-concept solutions, ensuring rigorous testing and validation to deliver reliable, production-quality outcomes while working closely with PIs throughout the research lifecycle. This role is remote, with a preference for candidates based in Nevada to support West Coast hours. Caregivers may work remotely while supporting time zones across Ohio, Florida, or Nevada. A caregiver in this position works M-F| 8:00am—5:00pm| no weekends or holidays.

Requirements

• Bachelor’s Degree in Statistics, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field and 4 years of related experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, Teradata, MapReduce, PIG, and Hive OR PH.D OR Master’s Degree and 2 years of relevant experience
• Excellent written, verbal, and presentation skills in English and ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders
• Experience working with a variety of statistical languages/packages, e.g., SAS, R, Python, Spark, and/or SPSS
• Knowledge applying advanced statistics to complex business problems required (e.g., modeling, AI, ML, Deep Learning [DL], and/or Natural Language Processing [NLP])
• Familiarity with additional programming languages, including Python, Java, or C/C++
• 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
• Demonstrated leadership qualities, including presentation, influencing and negotiation

Nice To Haves

• Master’s or Ph. D
• 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
• Healthcare or life science experience
• Lead Experience with project management and change management methodologies
• Prior experience working with neuroimaging data

Responsibilities

• Gather requirements and program model development under direction of other Data Scientists to inform problem formulation.
• Participate in model building.
• Utilize methods particularly in modeling, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) and experience designing/implementing solutions.
• Provide insight and recommendations to solve business problems and help inform business decisions.
• Document best practices and solution frameworks.
• Replicate and scale solutions to business units with common/similar business needs.
• Use expertise in defining (with internal clients) the business challenge that needs to be solved, conducting the analysis/modeling/experiment and then providing the “answer” in a clear and business-friendly manner for our clients to take actionable steps.
• Participate with more senior data scientists or managers in peer review model assessment and feedback communication.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees