Mid Level Senior Clinical Data Manager Jobs
Mid level senior clinical data manager jobs go to professionals ready to own studies end to end, guide junior staff, and make data governance decisions with minimal oversight. Roles run across Healthcare & Medical Services, Technology & Software, and Retail, with a mix of on-site, hybrid, and remote positions, and employers like Amazon, TE Connectivity, and Rush University Medical Center hiring at this level now.
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Showing 5 of 179+ Mid Level Senior Clinical Data Manager jobs
- Bachelor’s Degree from a recognized college or university in Business Administration, Business Management, or business-related field Required
- Master’s Degree in Business Administration, Hospital Administration, Accounting, Finance or a closely related field is Preferred
- 5 years of progressive work experience in a Finance role, preferably in a multi-entity healthcare provider environment Required
- None Required
- Certified Public Accountant (CPA) Preferred
- Bachelor’s Degree from a recognized college or university in Business Administration, Business Management, or business-related field Required
- Master’s Degree in Business Administration, Hospital Administration, Accounting, Finance or a closely related field is Preferred
- 5 years of progressive work experience in a Finance role, preferably in a multi-entity healthcare provider environment Required
- None Required
- Certified Public Accountant (CPA) Preferred
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Find JobsMid Level Senior Clinical Data Manager Job Market
Who's Hiring
- Amazon10
- TE Connectivity6
- Rush University Medical Center5
- HII4
- Lam Research4
Top Industries Hiring
- Healthcare & Medical Services33
- Technology & Software19
- Retail18
- Electronics & Hardware12
- Manufacturing10
Mid Level Senior Clinical Data Manager Jobs: Frequently Asked Questions
How do I get a mid level senior clinical data manager job?
Position your experience around direct ownership of clinical data management deliverables, not just task execution. Highlight studies you led from protocol review through database lock, any cross-functional collaboration with biostatistics or regulatory teams, and familiarity with CDISC standards and EDC systems like Medidata Rave or Oracle InForm. Concrete outcomes, such as clean database delivery timelines or audit-ready records, carry the most weight with hiring managers at this level.
Which companies hire mid level senior clinical data managers?
Companies hiring mid level senior clinical data managers right now include Amazon, TE Connectivity, and Rush University Medical Center, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a broad mix of pharmaceutical and biotech firms, contract research organizations, and medical device companies managing active clinical trial portfolios.
Are there remote mid level senior clinical data manager jobs?
Yes, remote and hybrid availability is strong for mid level roles. About 25% of mid level senior clinical data manager openings are remote or hybrid as of July 2026, reflecting how widely clinical data work has shifted to distributed teams since electronic data capture became standard. On-site roles remain common at sites with hands-on study oversight requirements.
How do I move up to a mid level senior clinical data manager role?
The path from entry level to mid level centers on accumulating full-cycle trial experience and demonstrating ownership beyond assigned tasks. Build depth in CDISC standards, data validation programming, and regulatory submission readiness. Taking the lead on a study independently, mentoring a junior team member, or driving a process improvement in data cleaning or reconciliation signals the kind of initiative that marks the transition from execution to ownership.
Which industries hire the most mid level senior clinical data managers?
Mid Level senior clinical data manager roles concentrate in Healthcare & Medical Services, Technology & Software, and Retail, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they run large volumes of ongoing clinical trials that require experienced data professionals who can manage study complexity and ensure data integrity without constant supervision.