Associate Clinical Data Manager [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Clinical Data Manager based in the United States.

This remote opportunity is designed for an experienced clinical data professional who wants to take ownership of critical data management activities across complex clinical studies.
The Associate Clinical Data Manager will oversee study data processes from start-up through database lock, ensuring quality, compliance, and timely delivery.
This role offers the chance to collaborate directly with sponsors, cross-functional teams, and global clinical research experts.
You will contribute to advancing clinical development programs by ensuring accurate, reliable, and inspection-ready data.
The position combines technical expertise, project leadership, stakeholder management, and process improvement within a collaborative research environment.
It is an excellent opportunity for a detail-oriented professional who enjoys solving challenges, mentoring colleagues, and driving excellence in clinical data operations.

Accountabilities:

The Associate Clinical Data Manager is responsible for leading clinical data management activities across assigned studies, ensuring deliverables meet quality standards, regulatory expectations, and project timelines. This role requires strong coordination skills, sponsor engagement experience, and the ability to guide internal teams through complex clinical data processes.

• Lead clinical data management activities for assigned studies, including multi-site trials, patient populations, healthy volunteer studies, and projects with accelerated timelines.
• Own data management deliverables throughout the full study lifecycle, from study initiation through database lock.
• Provide direction, oversight, and quality review of data management team outputs to ensure accuracy and compliance.
• Ensure all activities follow clinical protocols, global procedures, Good Clinical Practice (GCP) standards, and applicable regulatory requirements.
• Collaborate with project managers and cross-functional teams to develop timelines and achieve contracted milestones.
• Lead internal data-focused project meetings and coordinate activities across EDC design, programming, statistics, pharmacokinetics, and other biometrics functions.
• Identify project risks, develop mitigation strategies, and communicate data-driven recommendations to stakeholders.
• Maintain strong sponsor relationships by understanding requirements, addressing concerns, and supporting client satisfaction.
• Monitor scope changes, budget considerations, and timeline impacts in partnership with project leadership.
• Provide mentorship, coaching, and guidance to clinical data management team members.
• Support team development through performance feedback, knowledge sharing, and career coaching.
• Stay current with emerging clinical data management technologies and industry best practices to support process improvements.
• Perform data reconciliation activities across clinical, safety, laboratory, and third-party data sources.
• Support audits, inspections, and issue resolution activities while ensuring timely corrective actions.
• Represent data management capabilities during business development activities and sponsor discussions.
• Maintain accurate documentation and records for all assigned work.

Requirements:

The ideal candidate will have strong clinical data management experience, excellent organizational skills, and the ability to manage complex studies while collaborating with sponsors and multidisciplinary teams. This role requires a combination of technical knowledge, leadership ability, and strong communication skills.

• University or college degree, or equivalent relevant professional experience.
• 6–8 years of clinical data management experience.
• Minimum of 1 year of direct sponsor management experience.
• Experience managing clinical trial data processes, biometrics operations, and supporting clinical systems.
• Strong understanding of clinical trial processes, data management methodologies, and medical terminology.
• Experience handling customer concerns, managing scope of work, and supporting budget discussions is preferred.
• Ability to manage priorities, meet deadlines, and work effectively within project productivity expectations.
• Strong organizational, communication, and interpersonal skills.
• Ability to collaborate effectively within global and cross-functional teams.
• Fluent English communication skills, both written and verbal.
• Experience with Electronic Data Capture (EDC) systems is preferred.
• 3+ years of EDC experience is a plus.
• Background in life sciences, health sciences, information technology, or related fields is preferred.
• Knowledge of clinical research standards, processes, and regulated environments is advantageous.

Benefits:

• Competitive salary range of $70,000 - $80,000 , based on skills, experience, qualifications, and market factors.
• Comprehensive benefits package including medical, dental, and vision coverage.
• Life insurance and short-term/long-term disability benefits.
• 401(k) retirement savings plan.
• Paid time off or flexible time off options.
• Company bonus opportunities where applicable.
• Fully remote work environment.
• Opportunities for professional development and career growth within clinical research.
• Exposure to global clinical programs and collaboration with multidisciplinary experts.

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!

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.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.