Remote Clinical Study Manager | Trials, Data Integrity, PM

Ladders; United States; Remote; USD 110,000 - 130,000; Full time

Benefits offered by this job

Healthcare coverage

Retirement plans

Life insurance

Disability coverage

Employee assistance program

Training programs

Job summary

Ladders is seeking a Clinical Study Manager to oversee planning, execution, and monitoring of clinical studies for a US-based remote team. This role demands leadership in trial delivery with emphasis on quality and regulatory compliance.

You will partner with cross-functional stakeholders to coordinate timelines, budgets, resources, and issue resolution across the study lifecycle, ensuring data integrity and effective collaboration across scientific and operational teams.

Qualifications

• Bachelor's degree in a relevant scientific discipline or healthcare-related field.
• Proven experience in clinical study management.
• Strong understanding of the drug development process and regulatory requirements.
• Excellent project management skills.
• Strong communication and interpersonal skills.
• Detail-oriented with a focus on data accuracy.

Responsibilities

• Oversee planning, execution, and monitoring of clinical trials.
• Collaborate with cross-functional teams to implement clinical studies.
• Develop and manage study budgets, resources, and timelines.
• Lead resolution of issues during clinical trials.
• Ensure data integrity and quality through monitoring processes.

Skills

Clinical study management

Project management

Communication skills

Data accuracy

Regulatory knowledge

Education

Bachelor's degree in a relevant scientific discipline or healthcare-related field

Job description

Ladders is seeking a Clinical Study Manager to oversee planning, execution, and monitoring of clinical studies for a US-based remote team. This role demands leadership in trial delivery with emphasis on quality and regulatory compliance.

You will partner with cross-functional stakeholders to coordinate timelines, budgets, resources, and issue resolution across the study lifecycle, ensuring data integrity and effective collaboration across scientific and operational teams.