Data Scientist

Akron Children's Hospital; Akron (OH); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Akron Children’s Hospital in Akron, OH seeks a Data Scientist to advance surgical research analytics within the Surgery Research Enterprise. You will develop predictive and prescriptive models, gather clinical data, and collaborate with investigators to drive clinically meaningful insights.

You will create visualizations using Tableau/Power BI, communicate results to technical and non-technical stakeholders, and lead research projects from design to dissemination with a strong focus on impact

Qualifications

• Master’s degree in data science, statistics, biostatistics, computer science, biomedical informatics, epidemiology, engineering, or related quantitative field.
• Minimum 3 years of relevant experience in data science, healthcare analytics, clinical research, or 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, tools such as Snowflake, databricks, SAS, R, Python, and SQL.

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 associations, universities, research institutes, government agencies, and vendors to support research objectives.
• Collect and explore raw data from multiple sources to identify patterns, trends, and 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 ML algorithms.
• Identify and engineer features to enhance model predictive power.
• Partner with investigators to extract meaningful features and improve model effectiveness.
• Develop, evaluate, validate, and refine models for accuracy and relevance in clinical contexts.
• Apply advanced analytical techniques to support clinically meaningful surgical research.
• Create data visualizations and dashboards using Tableau, Power BI, or custom code to communicate insights.
• Focus on a few high-impact research use cases and iterate with stakeholders.
• Lead data science and outcomes research projects from concept through dissemination.
• Share success stories and lessons learned within the Surgery Research Enterprise.

Skills

Communication

Collaboration

Independent work

Attention to detail

Education

Master’s degree in data science or related field

PhD preferred

Tools

Snowflake

databricks

SAS

R

Python

SQL

Tableau

Power BI

Job description

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