Manager, Clinical Data Science

Job not on LinkedIn

🔥 1 minute ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $95k - $210.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧪 Clinical Research

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Syneos Health

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. They translate unique clinical, medical affairs, and commercial insights into outcomes to address modern market realities. By utilizing advanced technologies and insights, Syneos Health collaborates with clients to speed the delivery of important therapies to patients worldwide, offering services that span the entire clinical-to-commercial spectrum.

📋 Description

• 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