[Hiring] Manager, Clinical Data Science @Syneos Health

Role Description

The position is responsible for line managing, developing and being accountable for the Clinical Data Scientists in their assigned team; client relationship management of assigned accounts; and for meeting assigned operational targets including but not limited to quality, performance, utilization, retention, and training. Ensures that contracted services of projects/program of projects are conducted by the Clinical Data Science Team in accordance with the executed contract and client expectations. Supports Clinical Data Science Business Development activities.

• Ensures project launch, conduct, and closeout activities are performed according to the client's and the Company's contractual agreement.
• Ensures that all project-related Clinical Data Science (CDSci) tasks are completed in accordance with internal and client quality standards, Syneos Health SOPs, and all pertinent industry/regulatory guidelines and legal requirements.
• Ensures project documentation is filed by project teams on an ongoing basis and the TMF is maintained in an inspection ready state.
• Manages oversight of multiple projects ranging in size and complexity from single service studies to multiple global projects within a program.
• Serves as primary escalation and relationship management point of contact for assigned client accounts and projects.
• Responsible for escalation evaluation & solutions that can be solved at Manager level, further escalating those that require additional leadership involvement.
• Accountable for financial health of assigned accounts.
• Oversees the functional lead financial activity to proactively manage the scope, budget, and resources for their assigned projects.
• Ensures the functional lead is appropriately and accurately forecasting future work.
• May review Clinical Data Science or other project documentation to ensure quality and consistency across programs and teams.
• Guides functional CDSci leads to act as central stewards of clinical data quality, monitoring risks through the holistic review of clinical and operational data.
• Assists in the development of technology, tools or applications, for use across projects to detect potentially unreliable data that may impact the validity of the trial results.
• Participates in submission of, analysis, and solutions for quality issues, CAPAs, and audit findings.
• Interviews, onboards and trains new staff as appropriate.
• Oversees professional development of direct reports by setting goals, conducting performance reviews, evaluating and monitoring training needs, creating development plans, mentoring, and coaching.
• Mentors staff in general team leadership skills, project management skills, internal Company processes, business development skills, financial skills, and for project specific tasks.
• Manages the resources/workload of assigned team and projects, assigns tasks to team members, manage billable and non-billable time, and subsequently monitors productivity/utilization, timeliness, and quality.
• Maintains and evaluates functional lead and project progress.
• Works with CDSci’s to prepare for and run Project Review Meetings for their assigned projects.
• Leads Clinical Data Science staff through client or regulatory audits.
• Plans for and participates in client or regulatory audits.
• Represents Clinical Data Science at Business Development and client-related meetings.
• May work with Business Development and the Proposal/Contracts groups to provide input to project budgets and scope of work for client requested opportunities.
• May perform training for Clinical Data Science staff.
• Creates training materials as required.
• Participates in additional activities as assigned, such as development of departmental technologies, SOPs, processes, and procedures.
• Performs other work-related duties as assigned.

Qualifications

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

Benefits

• Company car or car allowance.
• Health benefits to include Medical, Dental and Vision.
• Company match 401k.
• Eligibility to participate in Employee Stock Purchase Plan.
• Eligibility to earn commissions/bonus based on company and individual performance.
• Flexible paid time off (PTO) and sick time.

Salary Range

$95,000.00 - $210,900.00

The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role.