Data Scientist

Akron Children’s Hospital is seeking a Data Scientist to strengthen surgical research and analytics capabilities within the Surgery Research Enterprise.

Responsibilities

• Advance advanced analytics and data science capabilities in the Surgery Research Enterprise by gathering feedback from leaders, investigators, stakeholders, and peers.
• Help implement a roadmap aligned with surgical research priorities.
• Build and maintain collaborative relationships with investigators, clinical leaders, research staff, and partners.
• Develop a strong understanding of clinical and research context and the strategic goals of surgical divisions.
• Establish external partnerships with professional associations, communities, universities, research institutes, government agencies, and solution providers or vendors to support research and analytics objectives.
• Collect and explore raw data from multiple sources to identify patterns, trends, and potential insights.
• Clean, transform, and validate data to ensure quality and suitability for research and analysis.
• Design, develop, implement, and optimize predictive and prescriptive models using statistical methods and machine learning algorithms to improve accuracy and performance.
• Identify and engineer relevant features to enhance model predictive power.
• Partner with clinical investigators and domain experts to extract meaningful features that improve model effectiveness.
• Develop, evaluate, validate, and refine statistical and machine learning models for accuracy, relevance, and effectiveness in clinical and research contexts.
• Apply advanced analytical techniques to support clinically meaningful surgical research.
• Create data visualizations and dashboards to communicate insights to technical and non-technical stakeholders using Tableau, Power BI, or custom code.
• Focus on a limited number of high-impact research and analytics use cases.
• Collaborate with partners and investigators to gather feedback, secure support, and make regular adjustments.
• Identify research opportunities and independently lead data science and outcomes research projects from concept through dissemination, including research question development, study design, data identification, analysis, interpretation, and communication of findings.
• Apply research and data science expertise and share success stories and lessons learned with the Surgery Research Enterprise and broader research community.
• Teach or coach professionals on advanced analytics, data science, problem-solving methodologies, and related techniques.
• Monitor industry, healthcare, surgical research, and data science trends and best practices.
• Identify opportunities to apply emerging methods to new research questions.

Requirements

• Master’s degree in data science, statistics, biostatistics, computer science, biomedical informatics, epidemiology, engineering, or a related quantitative field.
• Minimum 3 years of relevant experience in data science, healthcare analytics, clinical research, outcomes research, or a related field.
• Experience applying statistical techniques, machine learning, and advanced analytics to healthcare or clinical research data.
• Expert-level skills in research, data science, and clinical and/or research decision-making processes, techniques, and tools such as Snowflake, databricks, SAS, R, Python, and SQL.
• Strong organizational and problem-solving skills with an emphasis on attention to detail.
• Excellent written and oral communication skills, plus good interpersonal skills.
• Professional interaction with a diverse group of staff and users.
• Experience working independently and collaboratively with investigators and research teams to develop and execute research projects.
• Experience working with complex healthcare, clinical, research, or administrative datasets.
• Demonstrated experience developing research questions, working with complex datasets, conducting advanced analyses, interpreting findings, and contributing to abstracts, presentations, manuscripts, or other scholarly products (preferred).
• PhD or other relevant doctoral degree preferred.
• Experience independently developing and leading research or analytical projects strongly preferred.
• Supervisory experience preferred but not required.

Technologies

• Tableau
• Power BI
• Snowflake
• databricks
• SAS
• R
• Python
• SQL

Role Details

• Location: Akron, OH (hybrid)
• Minimum experience: 3 years
• Job requisition number: 37527
• FTE: 1.000000
• Status: Fixed Hybrid
• Reporting: Director of Research
• Licensure: NA
• Certification: NA