◆ Statistics

What a clinical data manager
really does.

21 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.

21evidenced tasks
262,440in the US (2025)
$120,230median pay / year
9systems it runs on
See the 21 tasks ↓Open in the atlasThe full career map →
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Develop and manage databases
Build and version a validated study database for the outpatient hypert…3 sources agree

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The work, task by task

21 tasks
Hands on the work15
Analyze data and prepare reports+
Run the locked dataset derivations for visit 6, generate the safety and efficacy tables with missingness checks, create an executive summary slide deck for the steering committee meeting on Friday.
jdonetwiki3 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Set up data collection systems+
Design the electronic case report forms for the phase II diabetes study, include validation rules for range checks and required fields, pilot the forms with two clinic users and report usability issues by next Tuesday.
jdonet2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Draft data management plans+
Draft the data management plan for the rheumatoid arthritis study covering data flow, coding standards, database lock criteria, and QC schedule, then circulate to the PI and QA lead for signoff within five business days.
jdwiki2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Generate queries for data discrepancies+
Generate and send site-level data queries for the 27 patients with missing baseline weight and conflicting medication start dates, assign each query to the submitting coordinator, require resolution within five business days, and include CRF line references and coding guidance.
jd
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Integrate data from various sources for analysis+
Consolidate inpatient vitals, lab extracts, and eCRF entries for the cardiology cohort, map fields to the analysis dataset, flag mismatches, produce a reconciled dataset ready for statisticians, and document ETL rules used.
wiki
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Make data available at appropriate quality and cost+
Compare current data supply costs and turnaround times across vendors, propose the minimum dataset and QC level that meets protocol needs at lowest cost, and produce an implementation plan to deliver that dataset reliably by quarter end.
wiki
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Participate in early discussions about data collection options+
Attend next protocol design meeting prepared with three data collection options for adverse events, list trade-offs in burden, data quality, and coding complexity, and recommend the option that meets safety reporting and monitoring needs.
wiki
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Design case report forms (CRFs) for data collection+
Draft CRF modules for demographics, concomitant meds, and AE capture that enforce required fields, include coding prompts and units, and circulate the mock CRF to clinical leads for sign-off by Wednesday.
wiki
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Grow the practice4
Watch and assess2

What the work runs on

named inside the evidenced tasks
8 tasksMicrosoft Exceldrafts field lists, validation rules, and mockups for review before electronic implementationOpen its task library →
6 tasksMicrosoft Officecomposes cross-team messages, tracks action items, and attaches supporting documents for regulatory correspondence
5 tasksIBM SPSS Statisticsperforms statistical derivations, summary tables, and exportable results for reporting
3 tasksMicrosoft Accessstores relational study tables and forms for validated data capture and local testing
2 tasksMicrosoft Projectbuild the implementation plan with timelines, resources, and milestones for delivering data to teams
1 taskMicrosoft PowerPointassembles executive summary slides from analysis outputs
1 taskExtensible markup language XMLexchange structured extracts and map fields between source systems during integration
1 taskMEDITECHserves as the clinical source system to review audit trails and traceability for compliance checks
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The same task, four heights

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ExecuteDo today's task, with fewer mistakesyou are here → ImproveMake it easy for the next person to acceptin the atlas → DecideWork out the right move when it is unclearin the atlas → BecomeLearn the pattern so it stops coming backin the atlas →

Can AI actually do this job?

the honest answer

It can

where it genuinely helps
  • Explain the theory behind the work
  • Draft, tidy and structure your writing
  • Rehearse a hard conversation before you have it
  • Build a study plan that fits your gaps

It cannot

where it stops, completely
  • Be in the room where a clinical data manager actually works
  • Carry the responsibility when the call is wrong — that weight stays yours
  • Notice what no one wrote down: the hesitation, the thing left unsaid
  • Live with the outcome

What the work pays

two countries, two different measures

United States

this exact occupation · BLS 2025
  • $120,230 a year — the middle: half earn more, half earn less
  • The lowest tenth earn near $67,240; the top tenth near $199,130
  • 262,440 people employed in this occupation

India

the occupation GROUP, not this job · PLFS via ILOSTAT 2025
  • ₹38,298 a month — the median for Professionals, the group this work sits in
  • India publishes pay by broad occupation group, so this covers many jobs besides this one. It is a shape, not a salary.
read this carefullyThese two numbers are not comparable and must not be converted into each other. One is a yearly figure for this job alone; the other is a monthly figure for a whole family of jobs. What travels between them is the pattern, not the amount: experience lifts pay almost everywhere.

Where the evidence lives

open any of it yourself
O*NETThe US Department of Labor's own record of this job8 of these tasks ESCOThe European skills and occupations register2 of these tasks Job descriptionsReal postings, in the wild11 of these tasks WikipediaHow the world describes this work12 of these tasks US Bureau of Labor StatisticsPay and employment, by occupation2025 figures UK NOS SFHHI11Produce coded clinical datanational standard UK NOS COGPOLY24Assess data and produce reportsnational standard

Close to this work

12 nearby
StatisticsForecasting Analyst26 evidenced tasks StatisticsExperimentation Scientist26 evidenced tasks StatisticsProcess Improvement Analyst25 evidenced tasks km/h RPMStatisticsMeasurement Analyst25 evidenced tasks StatisticsData Labeling Lead23 evidenced tasks StatisticsFreelance Data Consultant23 evidenced tasks StatisticsSas Programmer22 evidenced tasks StatisticsActuary21 evidenced tasks

Questions people actually ask

You start by checking the study database (often Medidata or an in-house SQL/Access system) for overnight uploads and new queries. Expect to run quality checks, generate discrepancy queries, and review incoming CRFs (case report forms) or electronic CRFs for missing or inconsistent values.

Afternoon is meetings with study coordinators, biostatisticians, or regulatory leads to resolve data issues and plan data locks. You’ll update the data management plan, prepare datasets for analysis (often exporting to SAS or SPSS), and document every change for audit trail and compliance.

You’ll commonly use Microsoft Excel for quick checks, Microsoft Access or relational databases for study data, and SPSS (IBM SPSS Statistics) or SAS for prepared datasets and basic analyses. Expect to see XML (Extensible Markup Language) files for data transfer and C# or SQL scripts if your site builds custom ETL (extract-transform-load) tools.

Project teams use Microsoft Project for timelines and PowerPoint for status reports. Hospital systems like MEDITECH appear if the study pulls clinical EHR (electronic health record) data.

You set up validation rules and run edit checks in the database, monitor query rates, and generate discrepancy reports that sites must resolve. You also maintain the audit trail—records of who changed what and when—so regulators can verify data integrity.

Compliance means following the data management plan, Good Clinical Practice basics, and any sponsor or site-specific SOPs. You document decisions, prepare datasets for monitoring visits, and ensure datasets are reproducible for inspection.

AI can help summarize reports, draft standard query language, or suggest CRF layouts, but never feed identifiable patient data into public AI tools. Use AI only on de-identified datasets and with vendor contracts that allow clinical data handling.

Keep human review in the loop: machine suggestions should be validated by you or a clinician. Log AI outputs, follow your sponsor’s data protection policy, and ensure audit trails and version control for any AI-assisted changes.

According to the U.S. Bureau of Labor Statistics (BLS), there were about 262,440 employed in related roles with a median annual wage of $120,230. The lowest tenth earned about $67,240 and the top tenth about $199,130 (BLS, 2025).

Pay varies by employer—pharma sponsors, CROs, or hospitals—experience, and location. Specialized skills (EHR integration, programming in C# or advanced SAS/SPSS) usually push pay toward the higher end.

A clinical research coordinator runs day-to-day site activity: consenting patients, collecting samples, and entering CRFs. A clinical data manager focuses on how that data is collected, stored, cleaned, and delivered—database design, queries, ETL, and regulatory documentation.

A biostatistician does the analysis and creates statistical plans. The clinical data manager prepares the clean, locked datasets the biostatistician needs. You’ll coordinate with both parties and operate the databases and tools (Access, XML exports, SPSS/SAS-ready datasets) that connect their work.