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Clinical Data Manager

Tempus AI · IL · Remote available · Full time

Posted Sep 17, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time you built or rebuilt a data management function. What did you put in place first?

What they are checking: Whether they can create SOPs, standards and staffing from little, since the posting wants department-building experience.

Describe a time you found a systematic data issue mid-study. How did you find it and what did you do?

What they are checking: Whether they look for patterns across sites and fix root causes instead of closing queries one by one.

Tell me about a disagreement with a clinical operations or biostatistics lead over a data decision.

What they are checking: Whether they can defend data standards while staying a good partner to teams with different goals.

What would you do

A sponsor wants database lock moved up by three weeks. How do you decide whether that is possible?

What they are checking: Whether they can weigh real data cleaning status against client pressure and say no with reasons when needed.

In a CRO setting you often juggle several client studies. How do you keep priorities straight when two sponsors both need you this week?

What they are checking: Whether they can manage competing client deadlines openly without letting quality slip on either study.

About the work

Walk me through how you lead a cross-functional review of eCRF content for a new oncology study.

What they are checking: Whether they can get clinicians, statisticians and programmers to agree on what gets captured before the database is built.

How do you write and test edit check specifications so they catch real problems without flooding sites with queries?

What they are checking: Whether they balance data quality against site burden, which is where poorly built studies lose goodwill.

What is different about data management for a phase 1 oncology trial compared with a later-phase study?

What they are checking: Whether they understand dose escalation timing, safety review speed and frequent protocol changes in early oncology work.

How do you apply good clinical practice and regulatory expectations to data handling in your day-to-day work?

What they are checking: Whether GCP, audit trails and data integrity are habits for them, not just words on a résumé.

How do you handle a protocol amendment that changes what data you collect partway through enrollment?

What they are checking: Whether they can manage database changes, version control and site retraining without corrupting data already collected.

What metrics do you watch to know if a study's data is healthy?

What they are checking: Whether they track query aging, entry lag and missing data early, before a lock deadline exposes the problems.

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The full job description

As published by Tempus AI.

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. The Lead Clinical Data Manager will contribute and lead data management activities in support of client studies across all stages of clinical drug development. They will be responsible for working with cross functional teams leading the data management initiatives. The ideal candidate has experience working in a global CRO setting with an excellent understanding of data management best practices, good clinical practice, and applicable regulatory requirements. This candidate will have direct experience developing a data management department. Experience with all phases of clinical trials, with strong oncology and phase 1 experience, is critical. Job Responsibilities: • Contribute to data management activities in support of clinical studies, including: o eCRF development by leading cross-functional reviews of eCRF content. o Database build activities, including review of edit check specifications and performance of user acceptance testing. o Monitoring data collection, coding, and cleaning by vendors through tracking of study metrics and targeted data reviews. o Oversight of database lock activities and ultimate archiving of study data. • Collaborate with internal and external partners, including Biostatistics, Statistical Programming, Clinical Operations, Medical, Quality Assurance, Drug Safety and Pharmacovigilance; CROs, central and local laboratories, and other vendors. • Establish cross-functional, internal data review plans, coordinate data cuts/transfers, and conduct data reviews. • Review CRO data management plans, CRF completion guidelines, edit check specifications, external data transfer specifications and other study documentation. • Represent data management and effectively communicate requirements, strategy, timelines and deliverables at internal cross-functional team meetings and meetings with external vendors. • Participate in the drafting and/or review of timelines consistent with company goals and ensure all deliverables and milestones are met. • Review clinical protocols/amendments, clinical study reports, statistical analysis plans, etc. • Support GCP inspection readiness. • Demonstrate clear alignment with company Core Values including, Commitment to People, Innovation and Discovery, Sense of Urgency, Open Culture and Passion for Excellence. • Performs other duties as assigned. • May involve travel. Demonstration of Tempus Compass Values: Consistently strives to demonstrate the following Highline Sciences values: • Recognizes that the team is always stronger than the individual. • Seeks to inspire others by demonstrating consistently strong performance. • Treats people with respect regardless of role or point of view. • Listens well and seek to understand before reacting. • Provides candid, helpful, and timely feedback to colleagues. • Demonstrates curiosity about and contributes effectively to areas outside of their specialty. • Keeps the bigger picture in mind when making decisions. • Never stops learning. • Questions assumptions and offers suggestions for improvement. • Focuses on results rather than process and seeks to minimize complexity when process is required. • Identifies and addresses root causes, not symptoms. • Demonstrates poise in stressful situations. • Strives to always do the right thing. • Questions actions that are incongruent with Highline Sciences values. Minimum Qualifications: • BS/BA in scientific discipline, MS or equivalent preferred, with at least 8 years related experience in a CRO/pharmaceutical/biologics/biotechnology company. • Study/Vendor oversight experience. • Experience with global studies, utilizing an outsourced CRO model. • Expert knowledge of Data Management processes, efficient design/build of an EDC data management system and other Clinical Trial/Data Management Systems. • Knowledge and understanding of regulations and industry-adopted data standards, such as CDISC SDTM and CDASH. • Experience working with EDC data management systems. • Understanding of ICH GCP as well as general knowledge of industry practices and standards. • Knowledge and understanding of regulatory requirements and expectations for clinical data systems including 21 CFR Part 11. • Highly motivated and flexible, with excellent organizational and time management skills • Ability to work independently and as part of a multi-disciplinary team. • Proficient in Microsoft Word and Excel. Preferred Qualifications: • Experience working with Medidata Rave EDC. • Experience using standardized medical terminology, including MedDRA and WHODrug. • Prior experience working for both a Sponsor company and a CRO • Early phase clinical trial experience Personal Skills: • Excellent interpersonal and communications skills (verbal and written), as well as problem solving and organization skills. • Proven ability to work independently. • Self-motivated, pro-active, and resourceful. • Strong ability to manage managers and/or individual contributors. • Outstanding organizational skills. • Excellent analytical and problem-solving skills. • Excellent communication skills with a diplomatic approach including the ability to work with various. personalities and perspectives. • Excellent ability to lead cross-functional initiatives related to Data Management. • Demonstrated proactive thought process to minimize and mitigate risk independently. • Demonstrated ability to conduct root cause analysis cross-functionally in business problem solving and process improvement development. • Excellent presentation skills: internal, external. 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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