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About the role

  • Clinical Data Science Manager leading data scientists, client accounts, and global clinical-trial projects. Ensuring data quality, regulatory compliance, staffing, budgets, and operational delivery at Syneos Health.

Responsibilities

  • Line manage, develop, and remain accountable for Clinical Data Scientists in the assigned team
  • Manage client relationships for assigned accounts
  • Meet operational targets including quality, performance, utilization, retention, and training
  • Ensure contracted project services meet contracts, client expectations, quality standards, SOPs, regulatory guidelines, and legal requirements
  • Oversee multiple projects ranging from single-service studies to multiple global projects within a program
  • Serve as primary escalation and relationship-management contact for assigned clients and projects
  • Oversee account financial health, scope, budgets, resources, and forecasting
  • Review project documentation for quality and consistency
  • Guide functional leads in clinical data quality oversight and risk monitoring
  • Support development of technologies, tools, and applications for detecting unreliable clinical-trial data
  • Participate in quality issues, CAPAs, and audit findings
  • Interview, onboard, train, mentor, and coach staff
  • Manage team resources, workloads, assignments, billable and non-billable time, productivity, timeliness, and quality
  • Prepare for and run Project Review Meetings
  • Lead staff through client or regulatory audits
  • Represent Clinical Data Science in business-development and client meetings
  • Contribute to project budgets and scopes of work
  • Develop training materials and perform staff training
  • Participate in developing departmental technologies, SOPs, processes, and procedures
  • Perform other assigned work-related duties

Requirements

  • BA/BS in biological sciences, computer sciences, mathematics, data sciences, and/or related disciplines in the natural science/health care space, or equivalent relevant work experience
  • MS degree preferred
  • Strong knowledge of the drug development process and its impact on data quality
  • Knowledge of risk-based approaches, biometrics procedures, and workflows
  • Strong project management skills and knowledge of project management methodologies
  • Leadership and effective mentoring skills
  • Ability to deal effectively with clients and internal stakeholders
  • Excellent written and spoken communication, presentation, and interpersonal skills
  • Experience in Clinical Data Science practices and relational database management software systems
  • Demonstrated experience working within a team matrix structure
  • Demonstrated experience making effective decisions and managing multiple priorities in a highly dynamic environment
  • Knowledge of ICH/GCP regulatory requirements for clinical studies
  • Ability to travel as necessary, up to 25%

Benefits

  • Career development and progression
  • Supportive and engaged line management
  • Technical and therapeutic area training
  • Peer recognition and total rewards program
  • Inclusive culture
  • Company car or car allowance
  • Medical, dental, and vision health benefits
  • Company match 401(k)
  • Eligibility to participate in Employee Stock Purchase Plan
  • Eligibility to earn commissions/bonus based on company and individual performance
  • Flexible paid time off (PTO)
  • Sick time
  • Reasonable accommodations, when appropriate

Job type

Full Time

Experience level

Mid levelSenior

Salary

$95,000 - $210,900 per year

Degree requirement

Bachelor's Degree

Tech skills

Google Cloud Platform

Location requirements

RemoteUnited States

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