Job Description
Job Requisition Number 30814Full-time
Day Shift
Onsite
Summary:
The Director of Research Data & Computational Science leads a high-performing, interdisciplinary team focused on transforming how healthcare data is accessed, interpreted, and applied to improve pediatric care. This strategic role will establish and manage a centralized research data science service core, supporting clinician-researchers across Akron. The director will align data capabilities with enterprise priorities, integrate research insights into care delivery, and foster a culture of academic excellence, equity, and collaboration.
Responsibilities:
- Strategic Leadership: Design and operationalize a centralized research data science model aligned with enterprise informatics, analytics, and clinical goals.
- Academic Service Culture: Lead a team embedded in clinical departments, promoting trust, innovation, and scholarly excellence across Neonatology, Pediatrics, and Surgery.
- Team Management: Recruit, develop, and mentor research data professionals; define shared goals and metrics that support high-impact, collaborative research.
- Research Enablement: Support study design, data access, grant writing, and dissemination for clinician-researchers and embedded team members.
- Service Intake & Engagement: Develop tools and workflows for project triage, resource matching, and user training to foster scalable, high-quality data support.
- Internal Collaboration: Partner with Enterprise Analytics, Clinical Informatics, Quality Improvement, and Operations to align research with system-wide initiatives like value-based care and health equity.
- External Partnerships: Collaborate with regional academic institutions and community stakeholders to expand research capacity and educational pipelines.
- Impact Communication: Translate research outcomes into insights that support operational and clinical leadership, including reporting on return-on-investment and care improvements.
Other information:
Technical Expertise
- Advanced knowledge of data science, biostatistics, and health services research.
- Experience with machine learning, predictive analytics, and applied modeling in healthcare.
- Familiarity with EHR systems (e.g., Epic), clinical databases, and research-ready data infrastructure.
- Knowledge of data governance, pipelines, and cloud-based analytic platforms.
- Ability to evaluate and develop cross-disciplinary talent in technical and academic domains.
Education and Experience:
- Education: Doctoral degree (PhD) in Biostatistics, Epidemiology, Biomedical Informatics, Health Services Research, or related field required. MD/PhD preferred for candidates with clinical backgrounds.)
- Certification: Formal training or certification in transformational or servant leadership, coaching, or change management preferred.
- Years experience: Minimum 5 years of progressive experience in clinical, translational, or health services research required.
- Supervisory experience: Minimum 3-5 years in a leadership or supervisory capacity within a research, informatics, or data science setting.
- Demonstrated record of peer-reviewed research and success in securing competitive funding.
- Experience managing research service units or embedded teams within health systems or academic medical centers.
- Leadership and mentorship of diverse, interdisciplinary teams across multiple levels of experience.
Full Time
FTE: 1.000000
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