Description JOB SUMMARYThe Legal Technology and Data Specialist supports the firm’s practice-specific applications, data processing tools, and file sharing platforms across all practice areas. This role provides day-to-day system administration, user support, and secure data handling
Why Ryan? Hybrid Work Options Award-Winning Culture Generous Personal Time Off (PTO) Benefits 14-Weeks of 100% Paid Leave for New Parents (Adoption Included) Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement Benefits Eligibility Effective Day One
Legal Technology & Data Specialist Location: Cleveland, Columbus, or Cincinnati, OH (Hybrid) Pay: Up to $50/hour Duration: 6-Month Contract Schedule: Hybrid work environment with approximately two days per week onsite. Are you a detail-oriented technology professional
Why Ryan? Hybrid Work Options Award-Winning Culture Generous Personal Time Off (PTO) Benefits 14-Weeks of 100% Paid Leave for New Parents (Adoption Included) Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement Benefits Eligibility Effective Day One
Specialist, Quality and Regulatory Affairs - (260007MI) Description A Brief Overview This position is responsible for providing support to the quality and regulatory activities within Pathology. Areas of focuses for the Quality Department are driving overall
Essential Duties and Responsibilities: - Provides advanced clinical inquiry responses (verbal and written) to health-related inquiries from consumers, educators or medical/health professionals. - Provides medical subject matter expertise. - Performs advanced database searches. - Composes documents, reports,
Essential Duties and Responsibilities: - Provides advanced clinical inquiry responses (verbal and written) to health-related inquiries from consumers, educators or medical/health professionals. - Provides medical subject matter expertise. - Performs advanced database searches. - Composes documents, reports,
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side