Join the Cleveland Clinic team where you will work alongside passionate caregivers and provide patient-first healthcare. Here, you will receive endless support and appreciation while building a rewarding career with one of the most respected healthcare organizations in the world.
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.
A caregiver who excels in this role will:
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.
Minimum qualifications for the ideal future caregiver include:
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
Preferred qualifications for the ideal future caregiver include:
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
Physical Requirements:
Personal Protective Equipment:
Pay Range
Minimum Annual Salary: $84,200.00
Maximum Annual Salary: $128,412.50
The pay range displayed on this job posting reflects the anticipated range for new hires. A successful candidate’s actual compensation will be determined after taking factors into consideration such as the candidate’s work history, experience, skill set and education. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic’s benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.).