Sr Clinical Data Manager information
See Rochester, MI salary details
$72.7K - $81.5K
12% of jobs
$81.5K - $90.4K
3% of jobs
$95.2K is the 25th percentile. Wages below this are outliers.
$90.4K - $99.2K
18% of jobs
$99.2K - $108K
10% of jobs
The median wage is $111K / yr.
$108K - $116.9K
20% of jobs
$123.6K is the 75th percentile. Wages above this are outliers.
$116.9K - $125.7K
15% of jobs
$125.7K - $134.5K
16% of jobs
$134.5K - $143.3K
5% of jobs
$143.3K - $152.2K
0% of jobs
$152.2K - $161K
0% of jobs
$161K - $169.8K
0% of jobs
How much do sr clinical data manager jobs pay per year?
As of Aug 15, 2026, the average yearly pay for sr clinical data manager in Rochester, MI is $113,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $126,600.00 per year, depending on experience, location, and employer.
To thrive as a Sr Clinical Data Manager, you need expertise in clinical data management, knowledge of regulatory requirements (such as GCP and FDA), and typically a degree in life sciences or related fields. Proficiency with data management systems like Medidata Rave, Oracle Clinical, and experience with CDISC standards or relevant certifications are commonly required. Strong project management, leadership, and communication skills help you effectively oversee teams and ensure data quality. These skills and qualifications are crucial for ensuring accurate, compliant, and timely clinical trial data that supports successful regulatory submissions.
A Sr Clinical Data Manager oversees the collection, management, and quality control of clinical trial data. Their responsibilities include designing data collection systems, ensuring data accuracy and integrity, managing databases, and coordinating with clinical research teams. They play a critical role in ensuring that clinical data meets regulatory standards and is ready for analysis and submission. Typically, Sr Clinical Data Managers also mentor junior staff and help develop data management protocols and best practices.
A Sr Clinical Data Manager often manages several trials at once, which can lead to challenges such as coordinating data collection across diverse study sites, ensuring consistent data quality, and meeting tight regulatory deadlines. Balancing these demands requires strong organizational skills, proactive communication with cross-functional teams, and effective delegation of tasks to junior data managers. Staying updated on evolving data standards and regulatory requirements is also crucial to avoid delays or compliance issues.
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