Mid Level Clinical Data Manager Jobs
Mid level clinical data manager jobs go to professionals ready to own study builds end to end, drive database lock decisions, and mentor junior staff with limited oversight. Roles run across Biotechnology & Pharmaceuticals, Education, and Healthcare & Medical Services, with 57% offering remote or hybrid work, and employers like Biogen, Amazon, and Systimmune hiring at this level now.
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INTRODUCTION
Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
ABOUT THE ROLE
We're looking for a Senior Clinical Data Curator Manager specializing in solid cancers who will be responsible for leading day-to-day abstraction quality, refining curation guidelines, and managing abstractor teams across solid oncology disease subtypes. As a Senior Clinical Data Manager in solid cancers, your job is to translate solid cancer evidence-based research into practical abstraction guidelines, data validation rules, and internal wiki resources. You will manage abstractor teams during pilot testing, resolve complex solid cancer Q&A escalations, and drive workstream production goals. The Senior Clinical Data Manager focuses on tactical execution, direct abstractor supervision, operational workflow bottlenecks, and solid oncology subtype curation integrity while also balancing building processes, guidelines, and workflows to support that work. The Senior Manager will be responsible for clearly articulating solid cancer project updates to key stakeholders and liaising with subject matter experts. You will work on complex operational issues, devising solutions to systemic bottlenecks in solid cancer workflows and establishing cross-disciplinary processes. This is an ideal position for someone with progressive clinical and abstraction experience in solid tumors who excels at tactical management and data curation in healthcare technology.
Responsibilities
- Oversee daily clinical abstraction workflows to build high-quality clinical repositories for solid cancers
- Resolve escalated abstractor queries and edge cases, serving as the tactical solid cancer clinical resource for abstractor teams
- Leverage knowledge gained from pilot testing and abstraction queries to develop and maintain abstraction guidelines, data validation rules, and curation standards across multiple disease subtypes
- Utilize evidence-based research to underpin subtype development
- Analyze team operational bottlenecks, implement tactical process improvements, and maintain workstream output efficiency
- Lead quality improvement initiatives and establish rigorous audit frameworks across large teams
- Work with multiple data sources and formats to support report and insight generation
- Train and guide Data Abstractors to develop both clinical and abstraction expertise
- Uphold quality standards by coaching and counseling employees; planning, monitoring, and appraising abstractor performance
BASIC QUALIFICATIONS
- CTR, BSN or MSN, or deep clinical data experience (data managers, clinical monitors, CRAs) required
- 4+ years of progressive experience in a clinical or research setting with a dedicated focus on solid tumors/oncology subtypes as well as knowledge of medical and genomic terminology, medical abbreviations, and pharmacy terms
- Developed protocols, policies, reference manuals, workflows, or other procedural components in a clinical setting
- Demonstrated management experience leading abstractor or clinical data teams
- Strong leadership skills, ability, and willingness to work in an agile team environment
- Ability to work efficiently in a fast-paced, flexible environment with time constraints and obsessive attention to detail
- Excellent interpersonal, written and verbal communication skills
- Proficient in Google Suite (Gmail, Google Docs, Sheets), analytics, and dashboards
COMPENSATION
- Salary Range: $100,000-$120,000 Annually
The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Top Industries Hiring
- Biotechnology & Pharmaceuticals
- Education
- Healthcare & Medical Services
- Retail
- Science & Research
Mid Level Clinical Data Manager Jobs: Frequently Asked Questions
How do I get a mid level clinical data manager job?
Position yourself around ownership and complexity, not just task completion. Highlight studies you managed from setup through lock, CRFs or edit checks you designed independently, and any cross-functional coordination you led with biostatistics or clinical operations. Recruiters at this level want to see that you can run a study database with minimal supervision, so lead your resume and cover letter with those concrete deliverables.
Which companies hire mid level clinical data managers?
Companies hiring mid level clinical data managers right now include Biogen, Amazon, and Systimmune, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large pharmaceutical sponsors, contract research organizations, and mid-size biotech firms running their own clinical programs.
Are there remote mid level clinical data manager jobs?
Yes, remote and hybrid availability is strong at this level. About 57% of mid level clinical data manager openings are remote or hybrid as of November 2026, reflecting how deeply clinical data work has shifted to distributed teams since the pandemic. On-site roles still exist, typically at sponsors with internal lab operations or regulated manufacturing environments.
How do I move up to a mid level clinical data manager role?
The path from entry level into a mid level clinical data manager role is built through progressive ownership. Start by moving from executing tasks under supervision to leading discrete study deliverables on your own, such as edit check specifications or data review plans. Deepen your CDMS platform skills, earn a CCDM or equivalent credential, and document measurable impact like faster database lock timelines or reduced query rates. Sustained ownership across at least one or two full study lifecycles is what signals readiness.
Which industries hire the most mid level clinical data managers?
Mid Level clinical data manager roles concentrate in Biotechnology & Pharmaceuticals, Education, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring because they run ongoing Phase II and Phase III trials that require experienced data managers who can operate independently without constant senior oversight.