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Manager, Clinical Data Science

🕒 yesterday
Clinical Data ScienceProject ManagementData QualityClient Relationship Management

📜 Description

  • Lead, manage, mentor, and develop Clinical Data Science professionals.
  • Oversee multiple clinical projects, ensuring quality standards and regulatory compliance.
  • Serve as the primary contact for client relationship management and issue resolution.
  • Monitor project scope, budgets, and overall financial health.
  • Guide teams in maintaining data quality and identifying operational risks.
  • Support audits and contribute to technology development and process improvement.

🛠️ Requirements

  • Bachelor's degree in biological sciences, computer sciences, mathematics, data sciences, or related field; master's preferred.
  • Strong knowledge of the drug development process and clinical data quality.
  • Experience in Clinical Data Science practices and relational database management.
  • Strong project management capabilities and familiarity with methodologies.
  • Experience leading and mentoring Clinical Data Science professionals.
  • Knowledge of ICH/GCP requirements for clinical studies.
  • Excellent communication, presentation, and problem-solving skills.

✨ Benefits

  • Medical
  • Dental
  • Vision health benefits
  • Employer-matched 401(k) retirement plan.
  • Eligibility to participate in an Employee Stock Purchase Plan.
  • Potential eligibility for commissions or bonuses based on company and individual performance.
  • Flexible paid time off and sick time, subject to applicable local requirements.
  • Potential company car or car allowance, where applicable.
  • Remote work arrangement available for pre-approved locations in Canada.
  • Professional development opportunities, including career progression, technical and therapeutic-area training, mentoring
Full job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Clinical Data Science based in Canada.

This role leads Clinical Data Science teams supporting complex clinical research programs and client accounts.
You will oversee multiple projects, ensuring quality, compliance, delivery, and effective resource management.
The position combines people leadership, client relationship management, project oversight, and operational accountability.
You will guide teams in maintaining high standards of clinical data quality and inspection readiness.
The role also contributes to technology development, process improvement, audits, training, and business development.
You will work within a collaborative, matrixed environment alongside clinical, technical, and client-facing stakeholders.
This is an opportunity to influence clinical data operations while supporting the development of people and clinical programs.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

Accountabilities

  • Lead, manage, mentor, and develop Clinical Data Science professionals, including onboarding, performance management, training, coaching, and career development.

  • Oversee multiple clinical projects ranging from individual studies to complex global programs, ensuring activities meet contractual commitments, quality standards, timelines, and applicable regulations.

  • Serve as a primary escalation and relationship-management contact for assigned clients and projects, resolving issues within scope and escalating matters when appropriate.

  • Monitor project scope, budgets, resources, forecasting, utilization, productivity, timelines, and overall financial health.

  • Guide Clinical Data Science leads in maintaining data quality and identifying operational and clinical risks through holistic review of study data and protocols.

  • Ensure project documentation is maintained appropriately and that trial master files remain inspection-ready.

  • Support the identification, analysis, and resolution of quality issues, CAPAs, audit findings, and regulatory or client observations.

  • Lead or support client and regulatory audits, including preparation and representation of Clinical Data Science teams.

  • Participate in business development activities, client meetings, proposals, scope development, and project budget planning.

  • Contribute to the development of technologies, tools, SOPs, processes, training materials, and procedures that improve Clinical Data Science delivery.

  • Coordinate workloads and assignments across teams while monitoring quality, timeliness, and billable and non-billable activities.

  • Requirements

    • Bachelor’s degree in biological sciences, computer sciences, mathematics, data sciences, or a related natural science or healthcare discipline; a master’s degree is preferred. Equivalent relevant professional experience may be considered.

    • Strong knowledge of the drug development process and its relationship to clinical data quality, including risk-based approaches, biometrics procedures, and workflows.

    • Demonstrated experience in Clinical Data Science practices and relational database management systems.

    • Strong project management capabilities and familiarity with established project management methodologies.

    • Experience leading, mentoring, and developing Clinical Data Science professionals while managing client and internal stakeholder relationships.

    • Knowledge of ICH/GCP requirements and regulatory expectations for clinical studies.

    • Excellent written and verbal communication, presentation, interpersonal, influencing, and problem-solving skills.

    • Experience working effectively within matrixed, cross-functional teams and highly dynamic environments.

    • Ability to make sound decisions, manage competing priorities, and maintain quality and performance under pressure.

    • Strong organizational skills, a collaborative mindset, and a positive, team-oriented approach.

    • Ability to travel as required, up to approximately 25%.

    • Benefits

      • Competitive base salary range of $95,000–$210,900, with actual compensation determined by qualifications, skills, competencies, experience, and other relevant factors.

      • Medical, dental, and vision health benefits.

      • Employer-matched 401(k) retirement plan.

      • Eligibility to participate in an Employee Stock Purchase Plan.

      • Potential eligibility for commissions or bonuses based on company and individual performance.

      • Flexible paid time off and sick time, subject to applicable local requirements.

      • Potential company car or car allowance, where applicable.

      • Remote work arrangement available for pre-approved locations in Canada.

      • Professional development opportunities, including career progression, technical and therapeutic-area training, mentoring, and peer recognition.

      • Collaborative, global, and inclusive working environment with opportunities to work alongside multidisciplinary clinical and healthcare professionals.

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